Volatility surprises are market moves outside the scope of expected volatility. They often bring to attention an underestimated type of risk. A paper by Aboura and Chevallier suggests that these volatility surprises transmit more easily across markets than return shocks. Moreover, the arising of unpredicted risk across markets seems to be cumulative.
A new paper estimates that U.S. economic data explain more than a third of bond price fluctuations on a quarterly basis. The economic data impact on daily fluctuations is much weaker. It grows with the time horizon because economic factors are more persistent than non-fundamental factors. The simple powerful message is that economic news flow is crucial (and probably underestimated) for identifying market trends.
Convenience yield represents the implied interest paid for borrowing physical commodity. Holding physical inventories carries benefits of flexibility for industrial consumers. The value of such inventories increases when scarcities arise. As a consequence, convenience yields help predicting future demand and price changes. A new Bank of Canada paper illustrates this for the crude oil market.
A paper by Bruno and Shin illustrates how global banks drive lending booms in local currency markets. Most importantly, they explain how currency strength fuels rather than curbs financial expansion in small and emerging economies, leading to escalating dynamics. Conversely, dollar strength can trigger a tightening spiral. Empirical evidence seems to support the point.
A University of York paper suggests that equity strategies based on fundamentals and strategies based on momentum are complementary. Thus, relative momentum seems to be a useful overlay for earnings growth-oriented portfolios (probably detecting when high growth companies hit a snag). And trend following has historically reduced volatility and drawdowns of both value and growth strategies.
A new academic paper asserts strong empirical evidence for capital flow deflection: one country’s capital inflow restrictions re-direct capital flows to other countries with similar economic characteristics. While the paper investigates from a policymaker angle, it would be relevant for international macro trading strategies.
An updated paper by Adam, Beutel, and Marcet claims that booms and busts in U.S. stock prices can be explained by investors’ subjective capital gains expectations. Survey measures of these expectations display excessive optimism at market peaks and excessive pessimism at market troughs.
This post briefly summarizes why markets are struggling to price macroeconomic trends efficiently. The summary is identical to this blog’s page “Systematic Value III: Information Efficient Tracking of Macro Trends”, which is subject to continuous updates.
A theoretical Bank of Japan paper suggests that instability and herding in bond markets arises from low overall confidence of investors, great importance of public information (such as central bank announcements), and high value of privileged information. This analysis goes some way in explaining drastic bond market moves in the age of quantitative easing, such as the 2013 JGB market sell-off.
Conventional wisdom is that markets are information efficient. Alas, a simple game-theoretical model illustrates that value traders only have an incentive to invest in research and information if (i) information cost is low enough, (ii) the overall market is sufficiently clueless, and (iii) market makers do not suspect value traders of being well informed. This leaves ample scope for the overall market to remain inefficient, even in the long run, with undesirable consequences for society as a whole.
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.
