Why decision makers are unprepared for crises

An ECB working paper explains formally why senior decision makers are unprepared for crises: they can only process limited quantities of information and rationally pay attention to rare events only if losses from unpreparedness seem more than inversely proportionate to their rarity. The less probable a negative event, the higher the condoned loss. Inattention gets worse when managers bear only limited liability.

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What markets can learn from statistical learning

Understanding statistical learning is critical in modern markets, even for non-quants. Statistical learning works with complex datasets to forecast returns or to estimate the impact of specific events. The choice of methods is key: they range from simple regression to complex machine learning. Simplicity can deliver superior returns if it avoids “overfitting” (gearing models excessively to specific past experiences). Success must be measured in “out-of-sample” predictive power, after a model has been selected and estimated.

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A primer on benchmark index effects

An HKMIR paper explains benchmark index changes and shows their significant effects on mutual fund flows and international capital flows. Importantly, there is evidence for benchmark changes leading to an outperformance of upgraded assets, both at the time of announcement and the time of actual index adjustment.

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When economic data surprises matter most

A Banca d’ Italia paper reminds us that the market impact of economic data surprises depends on the state of the economy and forecast diversity. In particular, the surprise impact tends to be greater, when predictions are tightly clustered around a ‘consensus’. Conversely, uncertainty seems to help preparing markets for shocks.

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Modelling the relation between volatility and returns

There is evidence for a double relation between volatility and returns in equity markets. Longer-term fluctuations of volatility mostly reflect risk premiums and hence establish a positive relation to returns. Short-term swings in volatility often indicate news effects and shocks to leverage, causing to a negative volatility-return relation. Distinguishing the two is important for using volatility as a predictor of returns.

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Rules of thumb for banking and currency crisis risk

A new ECB paper explores macroeconomic indicators for banking and currency crises over the past 40 years. Banking crises arose mostly in constellations of [i] low credit-deposit spreads and high short-term rates (over 11%) or [iii] high credit-deposit spreads (over 270 bps) and flat or inverted yield curves. Housing price growth has also been a warning signal. Currency crises ensued from exchange rate overvaluation (more 2.7% above trend) and high short-term interest rates (over 10%).

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Forecasting inflation under globalisation

Two recent papers contribute to forecasting inflation in a world of convergent policy regimes and integrated economies. The first emphasizes the distinct effects of shocks to aggregate demand, supply, and monetary policy. The second explains why country inflation usually corrects deviations from trends in the rest of the world. Predominantly inflation has become a global force.

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On the success of trend following in equity and FX

Empirical analyses document the success of trend following strategies in global equity and FX markets over the past 30 years. Stylized trend following delivered higher risk-adjusted returns with smaller maximum drawdowns when compared with other conventional strategies. It also provided value as a hedging strategy.

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The impact of regulatory reform on money markets

A new CGFS paper suggests that bank regulatory capital and liquidity changes may [i] reduce liquidity in money markets, [ii] create steeper short-term yield curves, [iii] weaken bank arbitrage activity, and [iv] increase reliance on central bank intermediation. Profit opportunities may arise for non-banks.

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The four components of long-term bond yields

A BOJ paper proposes an affine terms structure model for bond yields under consideration of the zero lower bound. It estimates the contribution of [i] expected real rates, [ii] real term premia, [iii] expected inflation rates, and [iv] inflation risk premia. In the U.S. yields have been driven mainly by expected real rates and real term premia in recent years. In Japan inflation expectations and inflation/deflation risk premia have played a greater role.

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