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.
A new Bank of England paper finds a 450 bps decline in global equilibrium real interest rates over the past 35 years, due to a fundamental divergence: savings preferences surged on demographics, inequality and EM reserve accumulation, while investment spending was held back by cheapening capital goods and declining government activity. More recently, fear of secular stagnation has compounded the real rate compression.
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.
An empirical study suggests that momentum trades yield positive returns but carry higher downside than upside market risk. This “beta asymmetry” appears to be a global phenomenon across asset classes. It is consistent with the broader observation that popular trading strategies come at the price of setback risk related to the crowdedness of positions.
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.
Two recent papers provide useful techniques for “nowcasting” EM economies. The first uses “dynamic factor models” with high frequency indicators to estimate GDP growth in countries with scant and noisy data. The second uses seasonal adjustment with modifications for time-varying holidays that can track underlying trends in China and other countries with lunar year and Islamic holidays.
ECB research suggests that its 2015 asset purchase programme significantly compressed term and credit spreads. Unlike previous asset purchases, it did not tackle financial distress. It functioned mainly through the broad compression of risk premia and spill-over to non-targeted assets.
A two-decade empirical study shows that bond and equity market prices are more likely to “jump” on days with U.S. economic data releases. In particular, surprises in news announcements tend to lead to higher volatility and larger price moves. The impact of key data surprises on bond markets seems clearer and simpler. The impact on equity markets depends on the state of the business cycle
A recent IMF paper suggests that sizeable negative policy rates could be implemented in developed economies. The key would be a variable deposit fee at the central bank cash window that can enforce value decay of paper currency relative to electronic money. Despite legal and economic issues, the proposal is disconcertingly practical in light of the expansion of electronic payments. Its mere consideration would be a tail risk for fixed income markets.
Market liquidity accommodates securities transactions in size and at low cost. When it fails the information value of market quotes is compromised, potentially triggering feedback loops, margin calls and fire sales. With shrinking market making capacity at banks, the fragility of liquidity in both developed and emerging markets has probably increased. The rise of larger and more pro-cyclical buy-side institutions seems to enhance this vulnerability.
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 two decades. 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.
