Perspective

Uncertainty suits neither quantitative modeling nor hyperbole

Note: Just as I was scheduling this to publish, news of the two-weeks ceasefire and opening of the Strait of Hormuz was announced. Scenario 1 now could be recast as a temporary ceasefire, but otherwise there is little here that I would change.

Uncertainty means we don’t know

It seems an obvious point, but bears repeating: we are living in immense Uncertainty with the potential for catastrophic outcomes. The US-Israeli war with Iran may be the most consequential geopolitical event since World War II and has the potential to have a tremendous impact on both the global and on individual economies. No one knows how long the war will last, how much damage it will do to Persian Gulf infrastructure, oil and gas production and refining, and related production of other critical inputs to the global economy. Nor do we have any idea for how long or to what extent the Strait of Hormuz will be compromised. This week’s article is a little longer than usual, but it’s hard to gain “perspective” with brevity.

Navigating between false certainty and hyperbole

Unfortunately, Uncertainty of this magnitude typically begets two near-polar-opposite reactions, neither of which is particularly helpful. The first is to blindly apply models trained on “normal” data, i.e. a supply shock to crude oil of X leads to GDP losses of Y and inflation of Z. This ignores nonlinearities associated with the potential size of the current disruption and the huge changes that have taken place in individual economies like the transformation of the US from the world’s largest energy importer to its largest producer, or China from an impoverished backwater to the world’s largest manufacturer and energy importer. The second reaction is to lean into the unprecedented potential of the shock and make hyperbolic claims like “the world economy will not survive.”1[1]

“Satisficing” or “good enough”

One of the best methods for addressing Uncertainty — non-quantifiable risk — is to engage in scenario analysis: what are the possible outcomes you can envision and what are their potential consequences? With deep Uncertainty, like that we face today, you likely will not correctly guess all the possible outcomes, but mapping best guesstimates of the likely effects of a sufficient number of scenarios likely will encompass the range of potential ramifications. Economist Herbert Simon, in his Nobel Prize-winning theory of “bounded rationality” in decision making, called this process “satisficing” (a portmanteau of satisfy and suffice), but generations of humans before him called it “good enough.”2[2] Hence, bounding the range of potential outcomes with a robust set of scenarios, then comparing those boundaries with past disruptions that “rhyme” likely gives us a“good enough” estimate of the limits of possible.

Scenarios

By the time you read this, President Trump’s ultimatum to Iran will have passed and you may be able to cross some or all of these scenarios off the list, but here are the eight most plausible resolutions to the crisis that I see (ordered from least disruptive to most disruptive):

  1. Imminent negotiated settlement: Although Iran’s escalatory attacks in the last 24 hours argue against it, I would not discount that the sharp escalation in President Trump’s rhetoric represents a face-saving off-ramp for whoever now runs Iran to agree to a near-term negotiated settlement (“We submitted to save the people of Iran!”). This would be consistent with President Trump’s de-escalatory offerings following both his assassination of Quds Force commander Qasem Soleimani in January 2020 and the bombing of the Fordow nuclear facility last June, both of which were followed by perfunctory, face-saving and nonlethal missile salvos by Iran at (emptied) US military bases.3[3] In this case, the Strait of Hormuz reopens and repairs to destroyed infrastructure begins immediately.
  2. Trump Always Chickens Out: This is the least likely outcome in my view for the reasons I laid out in Alea iacta est, but I include it for completeness. In this fairytale, the US declares victory and walks away — and just as importantly — Israel and the Gulf Arab states that have been under continuous attack from Iran also accept the war’s end and Iran’s de facto future suzerainty over the Strait.4[4] As in case (1), the crisis would effectively end, the Strait would reopen, and rebuilding could begin. At least until the inevitable collapse of the unstable equilibrium it creates.
  3. The Islamic Republic collapses: It’s difficult to assess how strong the Islamic regime’s grip on power remains: continued retaliatory missile and drone strikes from independently distributed command structures and clever “Lego Movie” propaganda videos do not a functioning state make. Israeli strikes on the Republic’s command and control structure and internal security forces have been brutal. The regime could collapse tomorrow, next month, or next year, but depending on how long the US and Israel are willing to continue, no regime can indefinitely survive this scale of destruction and economic dislocation.
  4. War continues but Iran opens the Strait: Iran’s closure of the Strait of Hormuz was a hybrid-warfare strategy intended to pressure the US to relinquish its kinetic advantage. But one of the points I made in Alea iacta est is that President Trump effectively turned Iran’s strategy against it by credibly noting Iran’s supporters, not the US, need the Strait open. While those countries may ultimately blame President Trump, his “put” of the Straits problem to them effectively pressures Iran. I strongly suspect that Iran’s recent shift to allow ships from “Brother Iraq,” China, India, and other countries through the Strait reflects a realization that blocking it no longer serves Iran’s interests. Even if Iran continues to restrict (nonexistent) US tankers from the Gulf, an expansion of exemptions (or reflagging) effectively opens the Strait, likely fully within months.
  5. US seizes the Iranian coast and oil production, opening the Strait: The US has one Marine Expeditionary Unit (MEU) in the region, another arriving next week, and has mobilized the Army’s Immediate Response Force (IRF), some elements of which already are deployed. President Trump has explicitly held out the possibility that the US will take Iran’s oil. If the primary US war objectives are as I postulated in Alea iacta est, not to stabilize Iran, but to eliminate Iran’s nuclear threat permanently, end the Islamic Republic’s 47-year war on the US, eliminate a Chinese proxy state in West Asia, and control the flow critical resources to China, then seizing Iran’s oil and gas distribution hubs on the islands of Kharg, Lavan and Sirri, the UAE-claimed, Iranian-held islands of Abu Musa, Greater and Lesser Tunb in the Strait itself, and the Iranian loading terminal at Jask, just outside the Strait on the Arabian Sea, while promoting civil war inland until a US-friendly regime emerges shouldn’t be discounted. Combined with an effective shipping insurance regime, which the US is reportedly working on, this likely would (mostly) reopen the Strait while slowly strangling what is left of the Islamic Republic.
  6. US leaves the world to sort it out: As noted above, I think the consensus version of “TACO” is unlikely, But as I wrote in Alea iacta est, I think President Trump’s threat to walk away and let others sort out reopening the Strait is his most likely stop-loss if the Iranian regime doesn’t submit on his timetable. In this scenario, the US likely fosters a civil war by supporting Azeri, Balochi and Kurdish separatist movements and anti-government Persian insurgents, destroys most Iranian infrastructure, and leaves Israel and the Gulf Arab countries to ensure that the Islamic Republic never becomes a threat again.5[5] Assuming I’m wrong about scenario (4) and Iran retains the ability to target ships, the fate of the Strait remains uncertain, but “toll” revenues will become even more essential to the regime (or local warlords) making it more porous than today.
  7. Iranian production destroyed: Extensions of scenarios (3), (5) and (6) include the possibility that the US or Israel destroy Iranian crude oil and gas production and distribution facilities, having already heavily bombed the country’s petrochemical complexes and leveled its steel production. This likely would remove Iranian production from global supply for at least two years and potentially a decade.
  8. Most Gulf production destroyed: The most catastrophic (economic) scenario is that both sides remove current redlines that have so far protected (most) oil and gas production and distribution infrastructure, and that Iran retains the capacity to effectively attack other Gulf states’ hydrocarbon infrastructure. The fate of the Strait becomes largely irrelevant if the sources of production for 20% of global oil and gas, 25% of helium, 35% of nitrogen fertilizer precursors, and 45% of global sulphur trapped behind it are destroyed. Nothing will leak out then.

A century and a half of perspective

While history rhymes rather than repeats, perspective on past shocks to the global economy is both essential to make “good-enough” guesses about the effects of large disruptions and to appreciate how resilient the world economy is. One of the more disappointing aspects of analyses I’ve read on the potential effects of this war is the short histories on which they’re based. Truly large shocks to the global economy — like a closure of the Strait of Hormuz — are extremely rare, and only a very long sample is likely to reveal a “rhyming couplet.” In the Appendix I’ve compiled a list of major supply shocks to the global economy spanning the last 155 years.

Complex systems

A long history like that reveals two important characteristics of the global economy: it is simultaneously nonlinear and surprisingly resilient. These are characteristics of complex systems, of which the global economy is a great example. Complex systems respond to shocks in unexpected ways due to the intricacy of their structure. But they also are always operating in “failure mode;” i.e. something is always going wrong. That makes them quite resilient as failures are normal and strengthen self-healing mechanisms. One illustration of this is the long list of major disruptions to the global economy that has occurred over the last century and a half. Note there have been seven just in the last decade and a half. Food supply and supply-chain failures in the early 2010s, followed by the massive Covid shock, the Ever Given blockage of the Suez Canal, and the Russian invasion of Ukraine all have increased the resiliency of current supply chains, a fact that may be present in the surprising resilience of equity prices and lower-than-expected crude oil prices.

Two historical parallels to consider

While there are many relevant comparisons to some of my eight scenarios above, two are especially pertinent to the more extreme scenarios of prolonged Strait closure or massive infrastructure damage that impairs a significant share of Gulf production: the Iranian Revolution and Iran-Iraq War that followed it; and the Russian Revolution against the backdrop of World War I.

47 years ago

On the cusp of the Iranian Revolution, Iran produced 6 million barrels per day (mbd) of crude oil, almost 12% of global output; by 1981 after its 1978-’79 Revolution drove out many of its skilled technicians and Iraq invaded in 1980, attacking Iranian oil fields, production fell below 1.4mbd, or 2% of global production (Figure 1). Due to Iranian counterattacks, Iraqi production fell 2.5mbd from its 1979 high. The combined fall from 1978 to 1981 was 10% of global supply. The net global loss of supply was a smaller 6% due to rising US and North Sea production but it still tied 1942 for the largest annual supply disruption of the 20th century (Figure 2). There are two important lessons to draw from this episode. First, the gross supply disruption half century ago was roughly on par with the current blockage — once pipeline and “toll” leakage is accounted for — on a flow basis, about 12% of global supply. But to equal the total supply shock of that crisis, the current one would need to go on for another year or more. Second, as noted, the global economy is resiliently self-healing: new sources of supply offset roughly half of the huge fall in Iraqi and Iranian crude.

109 years ago

The Iran-Iraq disruption was largely about crude oil, but given the diversification of Gulf economies this is now a much bigger potential shock to oil, gas, fertilizer precursor petrochemicals, sulphur and helium. Yet there was a similar broad and deep shock to global supply over a century ago: the coincidence of the Russian Revolution with World War I. The War and British blockade of Germany had already severely disrupted global supplies of fertilizers as Germany was the world’s largest producer, it also disrupted food and steel production. But the Russian Revolution doubled all these problems, disrupting the world’s largest grain exporter and one of its largest oil producers. Real grain prices surged to their highest level in nearly two centuries of data (Figure 3). Crude oil prices surged to their highest level in half a century as Russian production collapsed from 16% of global supply to 5% in two years (Figure 4). The effects likely would have been far worse had not surging US supply and newly discovered oil in Mexico nearly fully offset the Russian production collapse. Again, the global economy proved resilient: new sources of crude oil came online, the Haber-Bosch process for producing synthetic nitrates was developed to offset blockaded German fertilizer supplies, and bumper American crops helped return food prices to normal, despite the breadth of the supply disruptions.

This time is different

There obviously are big differences in current circumstances from both examples, but there also are important similarities that are missed. For instance, many worry that large fiscal debts make the US and other Western economies uniquely vulnerable to a large energy price shock today. Yet, most European nations faced even larger debts after World War I. Indeed, despite lower debt levels during the Iran-Iraq War, US federal interest outlays were nearly twice their current level as a share of GDP due to the far higher real interest rates of the period. The real differences are in the broader exposure to a slowdown. World War I was followed by a depression, but that also accompanied not only the supply shocks noted, but the demobilization of millions of soldiers, a prolonged steel workers’ strike in the US, then the world’s largest steel maker, and the Spanish influenza. Similarly, the double-dip recessions of 1981 and ’82 were among the more severe post-War US recessions, but the US was then the largest energy importer in the world whereas today it is the world’s largest energy producer and a net exporter. It also is undergoing a massive capex boom driven by Localization, AI and defense, and it is worth noting that California did not participate in the US recessions of 1981 and ’82 due to a similar, localized capex boom during the Reagan defense buildup.

There will be blood

This is not to say that an extended disruption of Gulf exports wouldn’t be painful. It would. But it may not be as painful as anticipated or as widely spread. Every economy has developed more resiliency as a result of the major disruptions of recent years. The US still appears well insulated by a strong capex-driven expansion and the ability to close its energy markets as China has. Europe, Asia and Australia look far more exposed given their energy exposure, slower growth, and debts. The relative picture looks much as it did before the war started, only the global average has changed.

 

Appendix

Dates Event Description Commodities
1867 Grain shortage Poor harvests in Europe combined with post-Civil War planting disruptions in the US Wheat and other grains
1898 Grain shortage Failed monsoon in India exacerbated by low inventories due to multiple years of poor Russian harvests and surging population growth in Europe Wheat and other grains
1914–18 World War I Major European and colonial war with U.S. involvement; naval blockade and submarine warfare fragmented commodity trade. Wheat/grains; nitrates/fertilizer feedstocks; coal; metals; oil; shipping
1917 onward Russian Revolution / Civil War Collapse of transport and civil war in a major grain exporter. Wheat and other grains
1919 Great Steel Strike (U.S.) Nationwide steel strike after WWI. Steel
1920–21 Spanish Influenza Global pandemic that disrupted labor supply and transport. Broad labor/logistics shock rather than one dominant bulk commodity
1930s (peak 1934–36) U.S. Dust Bowl Drought and soil erosion in the Great Plains sharply reduced crop yields. Wheat; corn; other grains/livestock feed
1939–45 (esp. 1942+) World War II Global war that broke production and trade networks. Oil; wheat/grains; natural rubber; tin; strategic metals
1951–54 Abadan crisis Iranian oil nationalization shut the Abadan complex and choked exports. Crude oil; refined products/distillates
1952 U.S. steelworkers’ strike Basic steel strike during the Korean War period. Steel
1956 Suez crisis British-French-Israeli attack on Egypt led to canal closure and severing of the Syrian pipeline. Crude oil; refined products into Europe
1959 U.S. steelworkers’ strike Longest major postwar steel strike in the U.S. Steel
1967-71 Chile copper nationalization / copper turmoil Nationalization in Chile plus strikes and political turmoil in other producers tightened copper supply. Copper
1967–75 Suez Canal closure Canal stayed closed after the Six-Day War. Crude oil; products; broader seaborne trade
1972–74 “Great Grain Robbery” Poor Soviet harvest led USSR to buy huge volumes of U.S. grain. Wheat; feed grains/corn
1973 OPEC Oil Embargo Arab producers embargoed some buyers and cut output after the Yom Kippur War. Crude oil; refined products
1978–79 Iranian Revolution Strikes and political collapse sharply reduced Iranian oil output. Crude oil
1980–81 Iran–Iraq War War damaged fields, terminals and shipping for two major producers. Crude oil; products shipping
1990 Iraqi invasion of Kuwait Iraq invaded Kuwait; nearly all Iraqi and Kuwaiti output went offline. Crude oil; refined products
2002–03 Venezuelan oil strike National strike and PDVSA stoppage crippled Venezuelan oil operations. Crude oil; refined products
2005 Hurricanes Katrina & Rita Major storms hit the U.S. Gulf of Mexico and Gulf Coast refining system. Crude oil; natural gas; distillates and gasoline
2007–08 Food crisis Poor harvests, low stocks, export bans, hoarding, biofuel diversion and high energy costs drove a global food shock. Wheat; rice; corn; soy; fertilizers/energy indirectly
2010–12 Droughts / Russia heat wave & export ban / U.S. drought Severe heat and drought cut harvests and prompted export restrictions; later U.S. drought hit feed grains and soy. Wheat; corn; soy
2010 Rare earths China curtailed rare-earth exports amid the Japan dispute and broader quota tightening. Rare earths / critical minerals
2011 Tōhoku earthquake / Fukushima Earthquake and tsunami disrupted industrial supply chains and, after the nuclear accident, raised Japanese LNG demand sharply. LNG / natural gas (demand shock); some oil products; electronics/auto components
2011 Thailand floods Flooding of Thai industrial parks disrupted electronics supply chains. Hard-disk drives; electronics components
2011 Libyan civil war Civil war removed high-quality light sweet Libyan crude from the market. Crude oil
2020 Covid Pandemic lockdowns and later rebound created major global supply disruptions. Broad supply chains; steel and shipping; food processing; energy logistics
2021 Suez Canal blocked by Ever Given Grounding of Ever Given blocked the canal for six days. Containerized trade broadly; some oil/products via route
2022– Russian invasion of Ukraine War, sanctions and Black Sea disruption hit energy, food and fertilizer markets. Crude oil; natural gas/LNG; wheat; corn; sunflower oil; potash/fertilizer; ammonia feedstocks; some metals
[1] Luke Gromen on the PDB Podcast “The world economy cannot survive a 7 to 11% loss of oil supply. It will not survive. We can debate: is Europe going to go first and collapse? Is Southeast Asia going to go first and collapse? Will America collapse first? But the global economy, it is a certainty, it will collapse if we keep oil supplies down 7 to 11%.” https://x.com/PBDsPodcast/status/2039721132073349425?s=20 [2] “A Behavioral Model of Rational Choice,” Herbert A. Simon, The Quarterly Journal of Economics, vol. 69, no. 1, February 1955. [3] Credit to brilliant my fiancée for raising this possibility to my attention. [4] As I noted in Alea iacta est, Israel sees this as an existential struggle and is unlikely to cease its attacks until the Islamic Republic is destroyed. Similarly, as I predicted, all the Gulf Arab countries now have adopted the same position: not one has expressed any concerns about President Trump’s recent escalation in rhetoric and reports suggest that in private they are encouraging total warfare and the complete destruction of the Islamic Republic. See “Gulf allies privately pushing Trump to keep up war until Iran decisively defeated,” Aamer Madhani, Samy Magdy, Matthew Lee, & Sam Mednick, The Times of Israel, 31 March 2026; and “Saudi Leader Is Said to Push Trump to Continue Iran War in Recent Calls,” Julian E. Barnes, Tyler Pager & Eric Schmitt, The New York Times, 24 March 2026. [5] Ibid.

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Economic and market forecasts:

Economic & market forecasts
  • Sustained higher US rates, vulnerability of backend rates and term premia to steepening in H2 2023: Are we there yet?

  • No recession, continued strength of US economy throughout 2023: Solved: Drivers of the dollar cycle; Clash of the Themes; Are we there yet?; Opportunity knocks: Are you listening?; Götterdämmerung.

  • No backtracking or “pivot” by the Fed in 2023: Solved: Drivers of the dollar cycle; Clash of the Themes; Are we there yet?; Opportunity knocks: Are you listening?; Götterdämmerung.

  • No banking crisis or reversal by the Fed following the failures of Silicon Valley Bank: Did QE cause bank failures? Opportunity knocks: Are you listening?

  • No new “Plaza Accord” resulting from US dollar strength and Fed rate hikes in 2022: Plaza 2.0 bid, not offered.

  • No default by Nigeria before or in the aftermath of the 2023 national elections: Debt reality versus perceptions.

  • The continued fall in US real rates through the 2000s and early 2010s. Themes & framework: Mercantilism (with Chinese characteristics) and the associated $Bloc/Chinese co-prosperity sphere undermined the marginal product of capital in the US while simultaneously increasing non-US demand for US Treasuries.

  • Emerging market outperformance in the 2000s. Themes & framework: Mercantilism (with Chinese characteristics) drove both the development of the $Bloc/Chinese co-prosperity sphere and the commodity supercycle, while Apex neoliberalism supported institutional reforms that lowered EM risk premia, all of which encouraged foreign direct investment that raised productivity and led to rapid economic growth.

  • The end of emerging markets’ “original sin” and growth of EM local bond markets, a development supported by a G7 initiative that I led at the US Treasury. Themes & framework: The $Bloc/Chinese co-prosperity sphere provided a new stability in many EM exchange rates while institutional reforms undertaken by many as part of Apex neoliberalism lowered EM risk premia.

  • The Global Financial Crisis (albeit see admission of errors below). Themes & framework: Mercantilism (with Chinese characteristics) and $Bloc/Chinese co-prosperity sphere simultaneously increased incentives for debt finance in the US (as demand for “safe” USD bonds rose globally) while undermining US means of repayment as the US marginal product of capital in traded goods fell. Combined with poorly designed bank regulation that allowed banks to leverage themselves well beyond regulators’ intent (Apex neoliberalism), “complexity cascaded”.

  • The failure of QE to generate post-GFC inflation. Themes & framework: Believing is being: inflation expectations were stable to falling amid deleveraging and associated lethargic income growth, lowering real interest rates as nominal rates were pinned at the zero lower bound, and implying sustained weak money demand. Stuffing banks with more reserves changed none of those variables. As Keynes described seven decades earlier – in the absence of negative nominal rates – monetary policy at the zero lower bound is equivalent to “pushing on a string”.

  • The lack of effect of balance sheet runoff on interest rates. Themes & framework: Believing is being and portfolio theory rejected the then dominant “portfolio balance” theory of QE. QE was a credible commitment by central banks to keep rates on hold, suppressing expectations for future rates and thus the yield curve. This is why the “Taper Tantrum” had its largest effects on 3-5 year forward rates as expectations for rates hiked rose, while long-dated forward rates fell. Measures of long-dated term premia continued to fall as the Fed reduced its balance sheet.

  • Peak Chinese growth in 2011. Themes & framework: Mercantilism (with Chinese characteristics) led to unsustainable contributions of investment to GDP and a collapse in China’s marginal product of capital amid historically large debt to GDP, a phenomenon that peaked with China’s 50% surge in domestic credit in response to the GFC. Domestic funding of its debt trapped China within its own financial repression scheme, frustrating its efforts to unwind its $Bloc/Chinese co-prosperity sphere and internationalization the renminbi as a closed capital account is required to avoid savings flight and a collapse of the debt bubble. This self-funded debt bubble implies that losses from consequent overinvestment are “amortized” in the form of slower growth.

  • Emerging Market underperformance of the last decade (and likely future decade). Themes & framework: Institutional reform in EM peaked with US policy credibility before the GFC under Apex neoliberalism; China’s peak within Mercantilism (with Chinese characteristics) in 2011 and the associated end of the commodity supercycle ended the “pack” economic benefits of the $Bloc/Chinese co-prosperity sphere, while simultaneously the advent of Localization began to shift production back to advanced economies. Amid stagnating growth and backsliding reforms, EM FX and asset prices looked (and continue to look) overvalued and risk spreads remain too thin.

  • Falling USD reserve share in the 2000s and a rising share since peak China. Themes & framework: The massive reserve accumulation required to sustain undervalution of the $Bloc/Chinese co-prosperity sphere came to be seen as “sovereign wealth” that required diversification, rather than a liquidity store for crises, and led to a consequent fall in the USD share of reserves. Yet the greater financial openness and cross-border claims that accompanied the Apex neoliberalism necessarily implied a proportional increase in capital outflows in periods of risk aversion; i.e. historically large reserves were not as large as perceived in reality. As China and the $Bloc/Chinese co-prosperity sphere slowed after 2011, and Global entropy increased Uncertainty with attendant effects on risk aversion, emerging markets learned painfully in 2014 that reserves were neither excess nor sovereign wealth, but instead necessary liquidity, and that the USD’s safe haven properties were unparalleled.

  • Low and falling inflation throughout the 2010s. Themes & framework: Missingflation, the unexplained trend component of global inflation that had led to two decades of inflation overforecasting by economists, showed no signs of abating and seemed to be caused by a continued slide in inflation expectations (Believing is being) as central banks struggled with the zero lower bound. The end of the trend would require both for central banks to make more credible commitment to raise inflation in conjunction with a sustained positive inflation shock.

  • The (trend) bottoming of long-term US real rates, higher-than-expected peak in Fed funds rates and US equity outperformance in the last decade. Themes & framework: China’s peak in 2011 under Mercantilism (with Chinese characteristics) and the dissolution of the $Bloc/Chinese co-prosperity sphere ended the trend of falling US real rates they had created. But it wasn’t until Localization gathered sufficient steam – and the US private sector had deleveraged – that US openness and technological leadership sufficiently raised US returns to capital to support a rise in US real rates. The Trump administration’s political support (Politics of Rage) for Localization gave another nudge to US relative returns to capital, and Covid again accelerated these phenomena further (and likely more sustainably).

  • The capitulation of Saudi Arabia’s price leadership/management in 2014 in the face of surging US tight oil production leading to lower and more volatile crude oil prices. Themes & framework: The end of the commodity supercycle brought about by peak China under Mercantilism (with Chinese characteristics) paused relentless crude oil demand growth, allowing innovation and a business-friendly US regime to undermined Saudi Arabia’s price leadership with tight oil production. Cartel dynamics combined with Saudi Arabia’s long-run price maximization led to a collapse in Saudi-enforced OPEC discipline, and lower, more volatile crude oil prices.

  • Financial volatility’s shift to a lower median level with more frequent, shorter explosions during the last decade. Themes & framework: Rising Uncertainty in politics (Politics of Rage), geopolitics (Global entropy), technology (Localization), and policy (Missingflation) amid Complexity cascades shifted the relative shares of total risk away from quantifiable sources towards unquantifiable sources; the counter-intuitive implication of rising uncertainty is lower median volatility as active risk taking retreats in information lulls, with violent explosions of price activity when new information is revealed.

  • Persistence of post-Covid supply constraints and sustainable inflation supported by rearview-mirror central bank policies leading to a flip in the direction of Missingflation. Themes & framework: Covid simultaneously accelerated both the economic and political motivations for Localization, caused a permanent shift in the structure of global demand, and disrupted existing global supply chains. Short-run aggregate supply could not adjust to the jump in investment and shift in demand quickly enough, creating prolonged shortages and the need for prices to curtail demand. The associated cost-push inflation was all the spark needed to ignite Believing is being changes in inflation expectation driven by central banks’ backward-looking policies based on a lack of understanding of Missingflation.

  • The Fed’s post-Covid rate cycle would be more like 1994 than the post-2000 gradualist cycles (a call I made in early 2021). Themes & framework: The intent of the Fed’s FAIT policy always was to boost long-run inflation expectations by falling “behind the curve” on inflation. Yet their lack of understanding of the causes of Missingflation and insufficient faith in their own ability to generate Believing is being kept them focused on “fighting the last war” too long, allowing inflation to run too hot, too quickly. But contrary to market conventional wisdom, inflation is deeply politically unpopular in an aging society and no central banker wants to be remembered as failing to control inflation. Accordingly, the Fed (eventually) will react forcefully to contain the Believing is being genie they underestimated.

  • Consistent underperformance of European economy, assets and the euro since the Global Financial Crisis. Themes & framework: Relative to trend growth, Europe was more highly indebted than the US, yet European policymakers too long considered the GFC an “American problem”. Combined with Europe’s greater institutional rigidities and a reluctance to write down bad assets, it would take proportionately longer to achieve necessary deleveraging. China’s 2011 peak within Mercantilism (with Chinese characteristics) and the rise of Localization undermined all parts of Europe: the globalization-dependent South and China-dependent North, while inflexibility and low levels of technological innovation inhibit Europe’s ability to adjust to the new global economic order.

  • UK outperformance of consensus Brexit forecasts. Themes & framework: Consensus forecast for post-Brexit UK were based on three flawed assumptions (due to underappreciation of themes!). First, by ignoring emergent Localization, growth forecasts grounded in Apex neoliberalism wrongly assumed globalization would continue to be a major driver of economic growth. Second, the consensus failed to acknowledge the UK’s long-run structural competitiveness: world-leading universities providing a technological edge in Localization; and strong, enduring institutions offering safety and stability amid Global entropy and rising Uncertainty. Third, the consensus, ironically, ignored the largest driver of trade (by a wide margin) in their own models: “gravity”, or proximity to trading partners. Network effects are extraordinarily powerful in trade and difficult to overcome.

  • Importance and implications for markets of Scottish independence referendum in 2014. Themes & framework: As one of the earliest manifestations of the Politics of Rage and its demands for greater political representation, the Scottish referendum was an unanticipated shock to markets and one of the first signs of Global entropy and the Uncertainty to come.

Global entropy

Manifest and growing disorder

By ignoring the endogeneity of complex systems and Rodrick’s globalization trilemma – that democracy, national self-determination, and economic globalization cannot enduringly coexist – Apex neoliberalism sowed the seeds of its own demise, leading to today’s manifest and growing global disorder: the end of Post-World War II international rules, rising ethnonationalism, multipolarity, the Politics of Rage, and the unwinding of globalized supply chains. In short, Huntington’s Clash of Civilizations trumped Fukuyama’s End of History. Apex neoliberalism facilitated rising trade-to-income ratios, cross-border capital flows, intergovernmental cooperation, and intra-economy income inequality; while simultaneously lowering financial spreads, inter-economy income inequality, and inter-state warfare. Global entropy likely will reverse many of these effects.

Missingflation

Economists don’t understand inflation

What are economists missing about inflation? In the two decades before Covid, market analysts, academic economists and central banks consistently overforecast inflation; in the last two years they have persistently underforecast it. Enduring one-way errors are not “white noise”; they demonstrate bias and strongly suggest that economists’ current understanding of inflation is flawed. Demographics, globalization and technology help to explain some of the forecast miss, but significant omitted variable bias remains, most likely due to failure to explicitly incorporate Believing is being.

Believing is being

Self-fulfilling beliefs are real

Beliefs drive everything from asset bubbles, to debt dynamics, to crypto currencies’ values, to inflation and hyperinflations (probably Missingflation, too). Good economists understand this but often omit beliefs from models to simplify because of the difficulty in measuring beliefs. Unfortunately, too many bad economists copy those models without understanding the potential for omitted variable bias. The rapid social, technological, political, and geopolitical changes behind Global entropy and Uncertainty are swiftly shifting beliefs, driving a feedback loop of economic and political outcomes. Yet the infrequency of these deviations and difficulty in measuring them make statistical modeling nearly impossible. Only through economic theory and full-spectrum information collection can we infer when and how beliefs are adjusting and their likely effects.

Complexity cascades

Complex systems fail unpredictably

Human societies, nation states and (especially) economies are examples of complex systems. Complex systems always operate in “broken” mode and ironically are more structurally stable when they have lots of small failures. But when they are subjected to massive or cascading shocks, complex systems can fail unpredictably and totally. Covid and manifest Global entropy represent self-reinforcing mammoth shockwaves that imply systemic collapses – in all spheres, socio-political, geopolitical, economic, and financial – are more likely than the consensus admits.

Uncertainty

Not all risks can be quantified

All risks are not the same. Some are quantifiable, like the chance of being dealt an ace in a game of cards. Others are not but can be subjectively guessed, like the chance you leave a casino a winner. Then there is uncertainty, the most dangerous of all risks because it is by definition, non-quantifiable: what is the chance the casino gets hit by a meteor? Apex neoliberalism created a façade of quantifiable risks; Global entropy and Complexity cascades are illustrating that the world is far more uncertain. The quantitative models in finance, business, economics, and politics that gained dominance during Apex neoliberalism generally have performed poorly as Global entropy has become more pronounced, a trend that is likely to sustain as uncertainty rises further. Scenario analysis and “satisficing” are the only proven frameworks for dealing with uncertainty.

Politics of Rage

The proletariat want their franchise back

Four decades ago, globalization and increasing economic returns to intellectual capital opened a fissure between elites and everyone else, especially in more developed economies. The economic and political consequences of Apex neoliberalism widened this fissure into a chasm of mistrust that has resulted in the political turmoil that engulfed most advanced economies in the last decade. Contrary to conventional wisdom, its causes derive more from perceived and actual political disenfranchisement than economic distress and inequality. Trends in the former suggest the wave is not near cresting, implying sustained socio-political, geopolitical and economic disruptions.

$Bloc/Chinese co-prosperity sphere

FX herding cures “fear of floating”

The “co-prosperity sphere” of bloc managed exchange rates centered around Chinese trade and the US financial system, alternatively known as Bretton Woods II or Chimerica, dramatically reoriented global supply chains, supported emerging markets’ financial development and economic boom of the 2000s, drove much of the dollar’s 2002-’11 depreciation, and ultimately likely caused the Global Financial Crisis. Emerging market crises of the late 1990s marked the final chapter in the Bretton Woods exchange rate system. Yet “Fear of floating” persisted until China’s Mercantilism and contemporaneous accession to WTO provided an alternative: exchange rates managed by “herd” or by “pack”. Hiding within the herd provided financial stability for China’s EM trading partners, while simultaneously allowing them hunt as a pack for foreign direct investment and supply-chain dominance. The size and rapid growth of the co-prosperity sphere distorted the global economy like a massive stellar object warps space-time. Collective suppression of exchange rates and domestic cost of capital diverted supply chain growth into the bloc, while attendant reserve accumulation led to a surge in demand for “safe” core economy bonds. The former undermined returns to capital in traded goods production outside the bloc and the latter depressed interest rates on “safe” US debt, encouraging overinvestment in non-traded goods like housing. (Note: I labeled this phenomenon “the dollar bloc” when I first wrote about it in 2003-04, but later referred to it as “the co-prosperity sphere”.)

Mercantilism (with Chinese Characteristics)

State capitalism’s unintended costs

China’s 1994-2012 “miracle” that lifted nearly a billion people out of poverty and its current growth problems both originate in its extreme application of the mercantilist “Asian growth model” originated by Japan and later copied by Asia’s “Tigers”. A combination of capital controls, protectionism, domestic financial repression, and industrial policy direct underpriced capital to favored industries that promote rapid capital accumulation and development by leveraging external demand (and technology) from advanced economies. Rapid development and convergence comes at cost, however. Underpriced capital and exchange rates lead to distortive overinvestment. Those losses are realized either abruptly and painfully through write downs – like those enforced on late-‘90s Asian Crisis economies by the IMF – or, if the economy can self fund, are “amortized” as lost future growth. Japan’s lost decade and China’s current funk are examples of the amortization path of economic loss.

Apex neoliberalism

Liberal capital democracy’s pyrrhic victory

Rapid global growth, particularly in the less developed world, “hyperglobalized” production and the growth of inter-governmental coordination derive substantively from the triumph of neoliberalism that followed the collapse of its ideological competitors with the Soviet Union’s fall and emerging market crises of the 1990s. But so too did the seeds of its undoing: The Politics of Rage, Mercantilism (with Chinese characteristics), Missingflation, and ultimately Global entropy. Rapid adoption of Western economic institutions and trade mechanisms followed from neoliberalism’s victory, promoting a world of hyperglobalization: ever-more dispersed but integrated global supply chains, just-in-time industrial processes with reduced redundancy, unfettered cross-border capital flows, and uniform rules that increased the influence of international institutions, non-governmental organizations and multinationals at the expense of local political control and less-skilled citizenry. Resultant uniformity and coincident digitization created a façade of certainty and quantification, promoting an overreliance on quantitative methods in decision processes, risk control and forecasting.

Economic and market phenomena:

Economic & market forecasts
  • The continued fall in US real rates through the 2000s and early 2010s. Themes & framework: Mercantilism (with Chinese characteristics) and the associated $Bloc/Chinese co-prosperity sphere undermined the marginal product of capital in the US while simultaneously increasing non-US demand for US Treasuries.
  • Emerging market outperformance in the 2000s. Themes & framework: Mercantilism (with Chinese characteristics) drove both the development of the $Bloc/Chinese co-prosperity sphere and the commodity supercycle, while Apex neoliberalism supported institutional reforms that lowered EM risk premia, all of which encouraged foreign direct investment that raised productivity and led to rapid economic growth.
  • The end of emerging markets’ “original sin” and growth of EM local bond markets, a development supported by a G7 initiative that I led at the US Treasury. Themes & framework: The $Bloc/Chinese co-prosperity sphere provided a new stability in many EM exchange rates while institutional reforms undertaken by many as part of Apex neoliberalism lowered EM risk premia.
  • The Global Financial Crisis (albeit see admission of errors below). Themes & framework: Mercantilism (with Chinese characteristics) and $Bloc/Chinese co-prosperity sphere simultaneously increased incentives for debt finance in the US (as demand for “safe” USD bonds rose globally) while undermining US means of repayment as the US marginal product of capital in traded goods fell. Combined with poorly designed bank regulation that allowed banks to leverage themselves well beyond regulators’ intent (Apex neoliberalism), “complexity cascaded”.
  • The failure of QE to generate post-GFC inflation. Themes & framework: Believing is being: inflation expectations were stable to falling amid deleveraging and associated lethargic income growth, lowering real interest rates as nominal rates were pinned at the zero lower bound, and implying sustained weak money demand. Stuffing banks with more reserves changed none of those variables. As Keynes described seven decades earlier – in the absence of negative nominal rates – monetary policy at the zero lower bound is equivalent to “pushing on a string”.
  • The lack of effect of balance sheet runoff on interest rates. Themes & framework: Believing is being and portfolio theory rejected the then dominant “portfolio balance” theory of QE. QE was a credible commitment by central banks to keep rates on hold, suppressing expectations for future rates and thus the yield curve. This is why the “Taper Tantrum” had its largest effects on 3-5 year forward rates as expectations for rates hiked rose, while long-dated forward rates fell. Measures of long-dated term premia continued to fall as the Fed reduced its balance sheet.
  • Peak Chinese growth in 2011. Themes & framework: Mercantilism (with Chinese characteristics) led to unsustainable contributions of investment to GDP and a collapse in China’s marginal product of capital amid historically large debt to GDP, a phenomenon that peaked with China’s 50% surge in domestic credit in response to the GFC. Domestic funding of its debt trapped China within its own financial repression scheme, frustrating its efforts to unwind its $Bloc/Chinese co-prosperity sphere and internationalization the renminbi as a closed capital account is required to avoid savings flight and a collapse of the debt bubble. This self-funded debt bubble implies that losses from consequent overinvestment are “amortized” in the form of slower growth.
  • Emerging Market underperformance of the last decade (and likely future decade). Themes & framework: Institutional reform in EM peaked with US policy credibility before the GFC under Apex neoliberalism; China’s peak within Mercantilism (with Chinese characteristics) in 2011 and the associated end of the commodity supercycle ended the “pack” economic benefits of the $Bloc/Chinese co-prosperity sphere, while simultaneously the advent of Localization began to shift production back to advanced economies. Amid stagnating growth and backsliding reforms, EM FX and asset prices looked (and continue to look) overvalued and risk spreads remain too thin.
  • Falling USD reserve share in the 2000s and a rising share since peak China. Themes & framework: The massive reserve accumulation required to sustain undervalution of the $Bloc/Chinese co-prosperity sphere came to be seen as “sovereign wealth” that required diversification, rather than a liquidity store for crises, and led to a consequent fall in the USD share of reserves. Yet the greater financial openness and cross-border claims that accompanied the Apex neoliberalism necessarily implied a proportional increase in capital outflows in periods of risk aversion; i.e. historically large reserves were not as large as perceived in reality. As China and the $Bloc/Chinese co-prosperity sphere slowed after 2011, and Global entropy increased Uncertainty with attendant effects on risk aversion, emerging markets learned painfully in 2014 that reserves were neither excess nor sovereign wealth, but instead necessary liquidity, and that the USD’s safe haven properties were unparalleled.
  • Low and falling inflation throughout the 2010s. Themes & framework: Missingflation, the unexplained trend component of global inflation that had led to two decades of inflation overforecasting by economists, showed no signs of abating and seemed to be caused by a continued slide in inflation expectations (Believing is being) as central banks struggled with the zero lower bound. The end of the trend would require both for central banks to make more credible commitment to raise inflation in conjunction with a sustained positive inflation shock.
  • The (trend) bottoming of long-term US real rates, higher-than-expected peak in Fed funds rates and US equity outperformance in the last decade. Themes & framework: China’s peak in 2011 under Mercantilism (with Chinese characteristics) and the dissolution of the $Bloc/Chinese co-prosperity sphere ended the trend of falling US real rates they had created. But it wasn’t until Localization gathered sufficient steam – and the US private sector had deleveraged – that US openness and technological leadership sufficiently raised US returns to capital to support a rise in US real rates. The Trump administration’s political support (Politics of Rage) for Localization gave another nudge to US relative returns to capital, and Covid again accelerated these phenomena further (and likely more sustainably).
  • The capitulation of Saudi Arabia’s price leadership/management in 2014 in the face of surging US tight oil production leading to lower and more volatile crude oil prices. Themes & framework: The end of the commodity supercycle brought about by peak China under Mercantilism (with Chinese characteristics) paused relentless crude oil demand growth, allowing innovation and a business-friendly US regime to undermined Saudi Arabia’s price leadership with tight oil production. Cartel dynamics combined with Saudi Arabia’s long-run price maximization led to a collapse in Saudi-enforced OPEC discipline, and lower, more volatile crude oil prices.
  • Financial volatility’s shift to a lower median level with more frequent, shorter explosions during the last decade. Themes & framework: Rising Uncertainty in politics (Politics of Rage), geopolitics (Global entropy), technology (Localization), and policy (Missingflation) amid Complexity cascades shifted the relative shares of total risk away from quantifiable sources towards unquantifiable sources; the counter-intuitive implication of rising uncertainty is lower median volatility as active risk taking retreats in information lulls, with violent explosions of price activity when new information is revealed.
  • Persistence of post-Covid supply constraints and sustainable inflation supported by rearview-mirror central bank policies leading to a flip in the direction of Missingflation. Themes & framework: Covid simultaneously accelerated both the economic and political motivations for Localization, caused a permanent shift in the structure of global demand, and disrupted existing global supply chains. Short-run aggregate supply could not adjust to the jump in investment and shift in demand quickly enough, creating prolonged shortages and the need for prices to curtail demand. The associated cost-push inflation was all the spark needed to ignite Believing is being changes in inflation expectation driven by central banks’ backward-looking policies based on a lack of understanding of Missingflation.
  • The Fed’s post-Covid rate cycle would be more like 1994 than the post-2000 gradualist cycles (a call I made in early 2021). Themes & framework: The intent of the Fed’s FAIT policy always was to boost long-run inflation expectations by falling “behind the curve” on inflation. Yet their lack of understanding of the causes of Missingflation and insufficient faith in their own ability to generate Believing is being kept them focused on “fighting the last war” too long, allowing inflation to run too hot, too quickly. But contrary to market conventional wisdom, inflation is deeply politically unpopular in an aging society and no central banker wants to be remembered as failing to control inflation. Accordingly, the Fed (eventually) will react forcefully to contain the Believing is being genie they underestimated.
  • Consistent underperformance of European economy, assets and the euro since the Global Financial Crisis. Themes & framework: Relative to trend growth, Europe was more highly indebted than the US, yet European policymakers too long considered the GFC an “American problem”. Combined with Europe’s greater institutional rigidities and a reluctance to write down bad assets, it would take proportionately longer to achieve necessary deleveraging. China’s 2011 peak within Mercantilism (with Chinese characteristics) and the rise of Localization undermined all parts of Europe: the globalization-dependent South and China-dependent North, while inflexibility and low levels of technological innovation inhibit Europe’s ability to adjust to the new global economic order.
  • UK outperformance of consensus Brexit forecasts. Themes & framework: Consensus forecast for post-Brexit UK were based on three flawed assumptions (due to underappreciation of themes!). First, by ignoring emergent Localization, growth forecasts grounded in Apex neoliberalism wrongly assumed globalization would continue to be a major driver of economic growth. Second, the consensus failed to acknowledge the UK’s long-run structural competitiveness: world-leading universities providing a technological edge in Localization; and strong, enduring institutions offering safety and stability amid Global entropy and rising Uncertainty. Third, the consensus, ironically, ignored the largest driver of trade (by a wide margin) in their own models: “gravity”, or proximity to trading partners. Network effects are extraordinarily powerful in trade and difficult to overcome.
  • Importance and implications for markets of Scottish independence referendum in 2014. Themes & framework: As one of the earliest manifestations of the Politics of Rage and its demands for greater political representation, the Scottish referendum was an unanticipated shock to markets and one of the first signs of Global entropy and the Uncertainty to come.

Foreign exchange forecasts:

Foreign exchange forecasts
  • The dollar’s trend fall 2002-’11. Themes & framework: The effects of the $Bloc/Chinese co-prosperity sphere on relative returns to capital, balance of payments and the effects of “diversification” as sovereign reserves evolved into sovereign wealth.

  • The dollar’s trend turn in 2011, surge 2014-2016, and counter-consensus strength in 2018 and 2021 (I was the only sell-side analyst to forecast USD strength in 2021). Themes & framework: The same forces driving the US real rates higher in the last several years – the end of Mercantilism (with Chinese characteristics) and its associated $Bloc/Chinese co-prosperity sphere, disproportionate benefit to the US from accelerating Localization, Global entropy and Complexity cascades, all played out in the USD, too, with added support from increased safe haven demand for the greenback due to rising Uncertainty brought about by Global entropy and Complexity cascades.

  • The euro’s plunge from $1.36 in mid 2014 to $1.05 in early 2015. Themes & framework: Reluctant deleveraging from the Global Financial Crisis combined with the sharp deterioration in European returns to capital following China’s peak within Mercantilism (with Chinese characteristics) and the shift to Localization from globalization implied a sharply lower real value of the euro. When ECB President Draghi ruled out the deflationary (1990s Japan) path to devaluation with his commitment to “whatever it takes”, Believing is being implied an immediate and massive change in the nominal value of the euro was required as the expected path for domestic prices flipped.

  • The yen’s surge from above 120 per dollar to below 105 in H1 2016. Themes & framework: Abenomics’ biggest success was its Believing is being commitment to reflate Japan’s economy, leading to a sharp depreciation of the nominal yen as expected future deflation was unwound. But yen depreciation included an “overshoot” to compensate for the risks that inflation might overshoot. The Bank of Japan’s tacit admission that “Quantitative & Qualitative Easing” could not create sufficient inflation with its December 2015 adoption of negative interest rates implied a rapid unwind of the overshoot given the yen’s deep undervaluation as beliefs shifted again.

  • The pound sterling’s pre-EU referendum fall to $1.40, post-referendum floor near $1.20, and its post-Brexit rebound above $1.30. Themes & framework: A steep risk premium in sterling was required to compensate for the Uncertainty induced by the Politics of Rage driven jolt. Yet, 1.20 represented a 60+ year low in purchasing power parity and seemed to undervalue the UK’s long-run structural assets – strong institutions, top global universities, leading tech industry – all of which were appreciating in value in a world of Localization, Global entropy, broader Uncertainty, and rising potential for Complexity cascades.

Political forecasts:

  • Political instability in Russia and China in 2023: Clash of the Themes.

  • Brexit 2016. Themes & framework: The chasm between elites (including those in markets) and ordinary citizens over the latter’s sense of disenfranchisement, the fundamental cause of the Politics of Rage, was clear well before the referendum and strongly suggested that bias in polling turnout models could fully account for the polls’ projected margin of defeat.

  • Trump 2016. Themes & framework: Record pre-election postal votes from registered independents (for whom no party seeks to “get out the vote”) suggested that, as with Brexit, the Politics of Rage’s disenfranchised and unaccounted for voters would be sufficient to overcome the (narrow) projected margin of loss.

  • Marine Le Pen’s 2017 success in reaching the run-off but ultimate failure to win French presidency. Themes & framework: The Politics of Rage framework suggested an undercounting of both Le Pen and left-wing populists’ support, giving her a clear path to the second round. But her projected margin of loss in the general election was far too large to be due solely to turnout bias, implying no chance of second-round success, particularly with left-wing populist voters dropping out or shifting support to Macron.

  • Trump narrow loss, post-election conflict 2020. Themes & framework: Pollsters’ mistaken focus on education levels as the source of their 2016 turnout errors rather than on (mis)trust driven by the Politics of Rage implied polls still were biased. Large shifts in minority voters towards Trump and unusually high “undecided” voters late in a highly polarized election also suggested the magnitude of Trump’s outperformance would be large (indeed, it was larger than 2016). But the margin to overcome also was much wider in 2020, suggesting a close loss by Trump. Increasing polarization and mistrust on both sides implied a violent reaction by a minority, whichever side lost.

Admission of errors:

I get things wrong, too, but hopefully am the wiser for it. This list is far from complete, but represents some of the ones that both stung and taught me the most.

  • Failing to specify financial institutions as at risk from credit trauma in 2023. While I did highlight that the most predictable source of for 2023 would be credit events following the massive rise in interest rates in 2022 (Debt reality versus perceptions), I didn’t specifically identify banks and other financial institutions as especially vulnerable, which proved to be the case with the failure of a few regional US banks in March 2023. Lessons learnt: Sometimes one’s focus on the underlying causes blinds to the obvious consequences, and levered entities with broad exposure will always be at risk from any traumas within an economy, even if sector or region specific.

  • Not seeing the Global Financial Crisis sooner. I saw the GFC earlier than many, but the extent of the financial system’s capital shortfall eluded me far longer than it should have. At the US Treasury from 2006 through early 2008 I was responsible for assessing foreign financial risks (sadly, institutional territorialism prevented an integrated approach with my domestic-side colleagues that may have focused more attention on off-balance-sheet financing of US housing). I chaired meeting after meeting in 2006-‘07 with market professionals, academics, regulators, and other policymakers where a noisy minority of participants argued that historic levels of debt to GDP implied an impending crisis. Yet when I challenged them to explain a channel of transmission, what would be the tipping point, why it had not occurred already, or to present evidence that bank capital was insufficient to absorb even an historic drop in US housing prices, none – including some who have become very famous for “calling” the GFC – could do so. Ultimately, it was the behavior of banks in funding markets in mid-to-late 2007 that clued me in that banks’ capital bases might not be what they purported (or, equivalently, contingent liabilities off balance sheet were far larger than people understood). What I had not done – nor, apparently had any of the “experts” I consulted in those years – was the detailed micro-level analysis that the protagonists of The Big Short had done (kudos to them). Lessons learnt: 1. “Macro” analysis often requires “micro foundations”; 2. many people claim expertise, don’t rely on it without evidence; and 3. notwithstanding (2), even if they can’t explain it, pay attention when a gathering minority claim to smell smoke. (Implicit lesson 4: don’t assume that the left hand is talking to the right hand in any organization.)

  • Losing my nerve at the bottom of markets in 2009. My framework helped me to correctly call the bottom in credit markets in January 2009 and recommend to the distressed debt fund I then worked for that we aggressively buy leveraged loans. But on market research mission in late February, I got spooked by US Treasury and Fed officials I met in New York and Washington. Throwing my framework out the window, on 6 March 2009, the exact day the S&P 500 hit its 666 low, I wrote a memo urging the fund to sell SPX futures as a hedge on its market exposure. Lessons learnt: 1. Never abandon your framework; and 2. don’t assume someone’s position or pedigree alone gives them an informational or analytical advantage: demand reasons and evidence.

  • Missing the euro’s partial rebound in 2017; indeed, I forecast it lower! I failed to acknowledge the extent of the uptick in economic activity, and importantly, the credit growth that the ECB’s “anything it takes” policy was generating. This one stung as I was a strong believer in then-President Mario Draghi’s approach and had previously highlighted credit expansion as a key metric of success. Lessons learnt: Keep your eyes on the ball and regularly check to see if any of the ex ante conditions established for changing your mind have been met.

  • Dollar weakness in summer 2020. Another one that really stings. Having correctly forecast that Covid-induced Uncertainty would lead to a surge in the USD as everyone scrambled for high-quality assets and liquidity in March-April 2020, I then failed to incorporate the unwind of that flight to quality as risk tolerance returned once the panic subsided. Lesson learnt: Sadly, the same as 2017 dollar lesson: Keep your eyes on the ball and mind your pre-established conditions for turning points.

  • I completely missed the Fed’s mini easing cycle in 2019. While we will never know and Covid eviscerated my chance at redemption, I still believe the Fed’s easing was not merited and likely would have necessitated more aggressive hiking later had the Covid crisis not intervened. The US economy continued to grow strongly in 2019, investment held up, and while headline inflation moderated somewhat, bottlenecks were generating rapid acceleration in a number of CPI subcomponents. But even if I was right on the economy, the FOMC sets policy and I failed to listen to them, particularly the increasing support for average inflation targeting. Lessons learnt: Policymakers set policy, listen to them even if you think they’re wrong.

  • Underestimating Jeremy Corbyn in the 2017 UK general election. I expected a small Conservative victory based on then Prime Minister Theresa May’s outreach to the working class and the Labour Party’s anti-Brexit tone. What I failed to notice was that Mr. Corbyn’s grass-roots campaign cleverly focused on local bread-and-butter issues and greater political devolution, directly addressing one of the primary drivers of the Politics of Rage: a widening sense of political disenfranchisement among the average citizenry. Corbyn’s tangible policies and outreach – which he largely abandoned in his losing 2019 campaign – easily trumped Ms. May’s intangible rhetoric as “hidden” Brexit voters didn’t trust her. Lessons learnt: Again, “macro” analysis needs “micro foundations”, particularly in politics; ignore at your own peril.

  • Texas Governor Rick Perry to win the 2012 Republican nomination and beat President Barack Obama in the general election. The foundations of the Politics of Rage were already well apparent by the 2012 election and Rick Perry’s campaign was well tuned to court the rising sense of disenfranchisement of working-class voters, particularly in Appalachia, and increasing distrust of institutional expertise across voters. Many of those voters were Democrats who were disappointed with the lack of “Hope and Change” promised by President Obama, making him vulnerable to any Republican who could attract a significant number of Democratic voters. Governor Perry’s bigger challenge appeared to be winning the Republican nomination, but his solid conservative credentials and popularity in the second-largest state suggested he would eek it out. Who knew he would self-immolate in a nationally televised debate? Lessons learnt: Themes are important – Trump proved the Politics of Rage four years later – but idiosyncratic risks always are present.