A brief speech by ECB governing council member Benoît Cœuré summarizes problematic side effects of increased central counterparty clearing in derivatives markets. Systemic threats may arise from unprecedented risk concentrations in a few global central counterparties and participating banks, as well as from the mutualisation of losses and liquidity shortfalls across systemically important institutions.
Herding is a deliberate decision to imitate the actions of others. In financial markets with private information herding can be efficient for an individual asset manager, but increases the risks that the market as a whole is inefficient and fragile, particularly in the case of “information cascades”. A paper of Michael McAleer and Kim Randalj provides empirical evidence of herding in a range of futures markets.
The cost of insuring against currency volatility can be measured as the difference between (options-based) implied volatility and (swaps-based) forward expected realized volatility. A case can be made that this insurance premium determines how much exposure risk-averse institutions are willing to accept. A new paper and blog post by Della Corte, Ramadorai, and Sarno claim that variations in volatility insurance costs can be the basis for a profitable currency trading strategy.
The IMF, like other institutions, estimates that China’s fiscal position is much weaker than suggested by headline statistics. A new paper sees the augmented fiscal debt at around to 45% of GDP and the augmented fiscal deficit at close to 10% of GDP. Financial stability risks arise from dependence on a favorable ratio of growth to real interest rates, the reliance of local budgets on real estate sales, and the refinancing of local government financing vehicles’ debt.
A Bundesbank paper proposes a new type of real exchange rate index. Rather than measuring the competitiveness of goods markets, this “real financial exchange rate” would measure the competitiveness of asset markets. There is some evidence that this indicator helps detecting overvaluation.
Trend following is a systematic investment style that takes directional positions in accordance with the difference between the current price and a moving average. For longer moving averages most trend following strategies would have outperformed simple buy-and-hold and value-based strategies in U.S. equities for many decades. Moreover, the simplest rules have been the best: there has been no benefit in high-frequency trading, stop losses, and conventional complications.
The central government debt ratio in the advanced economies has reached a 200-year high watermark. Other levels of government debt, unfunded pension and health care liabilities, and a huge external debt stocks add to scale and complexity of the problem. A historical analysis of Carmen Reinhart and Kenneth Rogoff suggests that developed countries, like emerging markets, are prone to taking recourse to aggressive financial repression and even debt restructuring.
Hagendorff and Vallascas argue that the risk weights used to calculate banks’ capital adequacy fall significantly short of true portfolio risks. Capital arbitrage may have undermined Basel II capital regulation and could do the same for Basel III in the future.
A short Bundesbank paper presents evidence that the Federal Reserve, the ECB, and the Bank of England have long used policy rates to stabilize financial markets in times of distress. This would suggest that implicit ‘central bank puts’ are not new and that central banks’ tendency to stabilize markets in the past has not prevented serious market dislocations.
Fear of economic disasters, such as depressions, is more frequent than their actual occurrence. People tend to perceive a growing risk of disaster as they see economic conditions deteriorate. A new Federal Reserve paper illustrates that this pro-cyclicality of fears can trigger fluctuations in equity prices that go well beyond the actual changes in economic conditions, consistent with actual historical experience. Disaster fears also can make asset returns partly predictable.
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.
