How to prepare for the next systemic crisis

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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Interest rate swap returns: empirical lessons

Interest rate swaps trade duration risk across developed and emerging markets. Since 2000 fixed rate receivers have posted positive returns in 26 of 27 markets. Returns have been positively correlated across virtually all countries, even though low yield swaps correlated negatively with global equities and high-yield swaps positively. IRS returns have posted fat tails in all markets, i.e. a greater proclivity to outliers than would be expected from a normal distribution. Active volatility management failed to contain extreme returns. Relative IRS positions across countries can be calibrated based on estimated relative standard deviations and allow setting up more country-specific trades. However, such relative IRS positions have even fatter tails and carry more directional risk. Regression-based hedging goes a long way in reducing directionality, even if risk correlations are circumstantial rather than structural.

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The correlation of equity and bond returns

History shows that the correlation of equity and bond returns has been either positive or negative for prolonged periods of time. Monetary policy has played a key role for the direction of equity-bond correlation. In periods of restrictive monetary policy the correlation has been positive. In periods of low inflation and accommodative monetary policy the equity-bond correlation has been negative. The latter regime has predominated since the late 1990s and is critical for performance and sustainability of risk-parity trading strategies.

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FX forward returns: basic empirical lessons

FX forward returns for 29 floating and convertible currencies since 1999 provide important empirical lessons. First, the long-term performance of FX returns has been dependent on economic structure and clearly correlated with forward-implied carry. The carry-return link has weakened considerably in the 2010s. Second, monthly returns for all currencies showed large and frequent outliers beyond the borders of a normal random distribution. Simple volatility targeting would not have mitigated this. Third, despite large fundamental differences, all carry and EM currencies have been positively correlated among themselves and with global risk benchmarks. Fourth, relative standard deviations across currencies have been predictable and partly structural. Hence, they have been important for scaling FX trades across small currencies.

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Predicting asset price correlation for dynamic hedging

Dynamic hedging requires prediction of correlations and “betas” across asset classes and contracts. A new paper on dynamic currency hedging proposes two enhancements of traditional regression for this purpose. The first is the use of option-implied volatilities, which are plausibly related to future actual volatility and correlation across assets. The second enhancement is the use of parameter shrinkage in regression estimation (LASSO method), which mitigates the risk of overfitting.

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Trend following as tail risk hedge

Typical returns of a trend following strategy carry features of a “long vol” position and have positive convexity. Typical returns of long only strategies, such as risk parity, rather exhibit a “short vol” profile and negative convexity. This makes trend following a useful complement of long-only portfolios, by mitigating tail risks that manifest as escalating trends. Options are naturally a cleaner hedge for tail risk, but have over the past two decades been prohibitively expensive.

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Central clearing and systemic risk

The expansion of central clearing has created a greater interconnectedness of financial markets and new systemic risks. Large losses of some of clearing members might exhaust central counterparties’ liquid assets and backup lines, triggering unfunded liquidity arrangements and strains on the remaining clearing members. Moreover, collateral requirements of central counterparties could surge in crises.

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The risks in statistical risk measures

A DNB paper warns that financial market risk models (such as value-at-risk or expected shortfall) are unreliable. Small variations in assumptions cause large differences in risk forecasts. At commonly used small samples of data forecasts are close to random noise. It would take half a century of daily data for estimates to reach their theoretical asymptotic properties.

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How growing assets-under-management can compromise investment strategies

If investment funds maximize assets-under-management and end-investors allocate to outperforming funds, the investment process is compromised. A new theoretical paper suggests that asset managers may prefer portfolios with steady payouts (or steady expected mark-to-market gains) and neglect risks of rare large drawdowns, potentially leading to complete failure of parts of the options market.

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Using volatility to predict crises

A long-term empirical study finds two fundamental links between market volatility and financial crises. First, protracted low price volatility leads to a build-up of leverage and risk, making the financial system vulnerable in the medium term (Minsky hypothesis). Second, above-trend volatility indicates (and causes) high uncertainty, impairing investment decisions and raising the near-term crisis risk.

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