Contagion and self-fulfilling dynamics

February 6, 2021

Contagion and self-fulfilling feedback loops are propagation mechanisms at the heart of systemic financial crises. Contagion refers to the deterioration of fundamentals through the financial network, often through a cascade of insolvencies. A critical factor is the similarity of assets held by financial institutions. The commonality of assets erases some of the benefits of diversification because it facilitates contagion. The potential role of investment funds in aggravating contagion through fire sales has much increased over the past 20 years. Self-fulfilling feedback loops denote the shift from one equilibrium to another, possibly without a change in ‘fundamentals’. They arise from multiple equilibria and strong interdependencies in a financial network. Bank runs are a classic example. Simple metrics that track both types of systemic risk are principal components and cross-correlation coefficients of different types of financial assets.

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A theory of hedge fund runs

June 8, 2019

Hedge funds’ capital structure is vulnerable to market shocks because most of them offer high liquidity to loss-sensitive investors. Moreover, hedge fund managers form expectations about each other based on market prices and investor flows. When industry-wide position liquidations become a distinct risk they will want to exit early, in order to mitigate losses. Under these conditions, market runs arise from fear of runs, not necessarily because of fundamental risk shocks. This is a major source of “endogenous market risk” to popular investment strategies and subsequent price distortions in financial markets, leading to both setbacks and opportunities in arbitrage and relative value trading.

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The correlation risk premium

April 21, 2018

The correlation risk premium is a premium for uncertainty of future correlation of securities among each other or with a benchmark. A rise in correlation reduces diversification benefits. The common adage that in a crash ‘all correlations go to one’ reflects that there is typically not much diversification in large market downturns and systemic crises, except through outright shorts. Correlation risk premia can be estimated based on option prices and their implied correlation across stocks. There is evidence that these estimates are useful predictors for long-term individual stock performance, over and above the predictive power of variance risk premia.

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Understanding collateral runs

April 14, 2018

In normal financial runs lenders want their money back. In collateral runs borrowers want their collateral back. In today’s highly collateralized financial system the institutions at risk are broker-dealers that lend and borrow cash in secured transactions and that use part of that liquidity to fund their own asset holdings. In collateral runs cash borrowers, such as hedge funds, have an incentive to rush to repay secured loans as soon as the liquidity of a broker-dealer is being questioned. That is because haircuts keep collateral value above loan notional. The demise of Bear Sterns in 2008 illustrates that the peril of collateral runs is real. Still, this source of liquidity risk has not been well explored.

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How to prepare for the next systemic crisis

April 7, 2018

Systemic crises are rare. But they are make-or-break events for long-term performance and social relevance of investment managers. In systemic crises conventional investment strategies lose big. The rules of efficient positioning are turned upside down. Trends follow distressed flows away from best value and institutions abandon return optimization for the sake of preserving capital and liquidity. It is hard to predict systemic events, but through consistent research it is possible to improve judgment on systemic vulnerabilities. When crisis-like dynamics get underway this is crucial for liquidating early, following the right trends and avoiding trades in extreme illiquidity. Crisis opportunities favor the prepared, who has set up emergency protocols, a realistic calibration of tail risk and an active exchange of market risk information with other managers and institutions.

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The 1×1 of risk perception measures

December 1, 2017

There are two reasons why macro traders watch risk perceptions. First, sudden spikes often trigger subsequent flows and macroeconomic change. Second, implausibly high or low values indicate risk premium opportunities or setback risks. Key types of risk and uncertainty measures include [1] keyword-based newspaper article counts that measure policy and geopolitical uncertainty, [2] survey-based economic forecast discrepancies, [3] asset price-based measures of fear and uncertainty and [4] derivatives-implied cost of hedging against directional risk and price volatility.

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How bank regulatory reform has changed macro trading

October 21, 2017

The great regulatory reform in global banking has altered the backdrop for macro trading. First, greater complexity and policymaker discretion means that investment managers must pay more attention to regulatory policies, not unlike the way they follow monetary policies. Second, changes in capital standards interfere with the effects of monetary conditions and probably held back their full impact on credit conditions in past years. Third, elevated capital ratios and loss-absorption capacity will plausibly contain classical banking crises in the future and, by themselves, reduce the depth of recessions. Fourth, regulatory tightening seems to have reduced market liquidity and may increase the depth of market price downturns.

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The power and origin of uncertainty shocks

January 14, 2017

Uncertainty shocks are changes in beliefs about probabilities. They are perhaps the most powerful driver of financial markets. Uncertainty comes in various forms, such as macro uncertainty, firm-specific uncertainty and uncertainty about others’ beliefs. However, empirical and theoretical research suggests that different types of relevant uncertainty shocks have one common dominant origin: updated beliefs about disaster risk. Hence, when markets give greater probability of downside tail risks, all sorts of uncertainty would rise, with a profound impact on macro trading strategies, whether they are directional or based on relative value.

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Mutual fund flows and fire sale risk

September 10, 2016

A new empirical paper looks at the drivers of U.S. mutual funds flows across asset classes. An important finding is that changes of monetary policy expectations towards tightening trigger net outflows from bond funds and net inflows into equity funds. Typically, the costs of redemptions are borne by investors that do not redeem or redeem late. This creates incentives for fire sales and causes of price distortions, particularly if the outlook for monetary policy is revised significantly.

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Corporate bond market momentum: a model

September 3, 2016

An increase in expected default ratios naturally reduces prices for corporate bonds. However, it also triggers feedback loops. First, it reduces funds’ wealth and demand for corporate credit in terms of notional, resulting in selling for rebalancing purposes. Second, negative performance of funds typically triggers investor outflows, resulting in selling for redemption purposes. Flow-sensitive market-making and momentum trading can aggravate these price dynamics. A larger market share of passive funds can increase tail risks.

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asset management Asset Purchase Program banks bond returns bond yields bubbles capital regulation central counterparty clearing China collateral commodities credit returns default ECB economic data EM equity returns euro area crisis Fed financial crisis FX FX interventions FX returns government debt government deficits herding inflation information insurances Japan leverage liquidity machine learning market turmoil price factors regulation risk management shadow banking statistical methods term structure trend following variance risk premium VIX volatility ZLB
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Macrosynergy is a London based macroeconomic research and technology company whose founders have developed and employed macro quantamental investment strategies in liquid, tradable asset classes, across many markets and for a variety of different factors to generate competitive, uncorrelated investment returns for institutional investors for over eighteen years. Our quantitative-fundamental (quantamental) computing system tracks a broad range of real-time macroeconomic trends in developed and emerging countries, transforming them into macro systematic quantamental investment strategies. In June 2020 Macrosynergy and J.P. Morgan started a collaboration to scale the quantamental system and to popularize tradable economics across financial markets.

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