China’s internal debt overload: a refresher

According to the latest IMF China report credit to non-financial institutions has soared to over 230% of GDP, an increase of 60%-points and a doubling in nominal terms from 2011 to 2016. Credit efficiency, i.e. the benefit of new lending in terms of economic output, has deteriorated markedly. Corporate lending has soared with an outsized allocation to state-owned enterprises, particularly to “zombie” and overcapacity firms. The credit boom has been supported by an abnormally high national savings rate of over 45% of GDP, which is likely to decline going forward. Historically, almost all credit booms that were similar to China’s in size and speed ended in a major downturn or credit crisis.

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Fear of drawdown

Experimental research suggests that probability of outright loss rather than volatility is the key driver of investor risk perceptions. Moreover, fear of drawdown causes significant differences of prices for assets with roughly equal expected returns and standard deviations. Investors forfeit significant expected returns for the sake of not showing an outright loss at the end of the investment period. This suggests that trading strategies with a high probability of outright losses produce superior volatility-adjusted returns. Rational acceptance of regular periodic drawdowns or “bad years” should raise long-term Sharpe ratios.

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Covered interest parity: breakdowns and opportunities

Since the great financial crisis conventional measures of the covered interest parity across currencies have regularly broken down. Two developments seem to explain this. First, money markets have become more segmented, with top tier banks having access to cheaper and easier funding, particularly in times distress. Second, FX swap markets have experienced recurrent imbalances and market makers have been unable or unwilling to buffer one-sided order flows. Profit opportunities arise for some global banks in form of arbitrage and for other investors in form of trading signals for funding liquidity risk premia.

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The demographic compression of interest rates

Declining population growth and rising dependency ratios in the developed world have been one key factor behind the decline in nominal and real interest rates since the 1980s. Personal savings for retirement are growing, while investment spending is not rising commensurately, and long-term economic growth is dampened by slowing or even shrinking work forces. A new ECB paper suggests that for the euro area these trends will likely continue to compress interest rates for another 10 years, a challenge for monetary policy and financial stability.

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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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Global market portfolio: construction and performance

A representative market portfolio can be built as the capitalization-weighted average of global equity, real estate and bonds. From 1960 to 2015 such a portfolio would have recorded a dollar-denominated nominal compound return of 8.4%, a real (inflation-adjusted) return of 4.4% and a Sharpe ratio of 0.7. Equity has delivered superior absolute returns, while bonds have delivered superior risk-adjusted returns, consistent with the “low risk effect” theory (view post here). The disinflationary period delivered more than double the returns of the inflationary period. Plausibility and empirical evidence suggest that the market portfolio is not efficient.

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Cross-asset carry: an introduction

Carry can be defined as return for unchanged market prices and is easy to calculate in real time across assets. Carry strategies often reap risk premia and implicit subsidies. Historically, they have produced positive returns in FX, commodities, bonds and equity. Carry strategies can also be combined across asset classes to render diversification benefits. Historically, since 1990, the performance of such diversified carry portfolios has been strong, with Sharpe ratios close to 1, limited correlation to benchmark indices and less of a downside skew that FX carry trades.

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Explaining FX forward bias

Forward bias in foreign exchange markets means that a positive interest rate differential precedes currency appreciation. It has been an empirical regularity in developed FX markets in recent decades. The forward bias contradicts traditional theory: positive risk-adjusted interest rate differentials are supposed to be offset by expected currency depreciation. An academic paper explains how FX forward bias arises when central banks ‘lean against the wind’ of appreciation through sterilized FX interventions.

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What traders can learn from market price volatility

Equity and bond market volatility can be decomposed into persistent and transitory components by means of statistical methods. The distinction is relevant for macro trading because plausibility and empirical research suggest that the persistent component is associated with macroeconomic fundamentals. This means that persistent volatility is an important signal itself and that its sustainability depends on macroeconomic trends and events. Meanwhile, the transitory component, if correctly identified, is more closely associated with market sentiment and can indicate mean-reverting price dynamics.

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Why financial markets misprice fundamental value

Experimental research has produced robust evidence for mispricing of assets relative to their fundamental values even with active trading and sufficient information. Academic studies support a wide range of causes for such mispricing, including asset supply, peer performance pressure, overconfidence in private information, speculative overpricing, risk aversion, confusion about macroeconomic signals and – more generally – inexperience and cognitive limitations of market participants.

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