Policy rates and equity returns: the “slope factor”

November 26, 2016

A long-term empirical analysis suggests that faster expected monetary policy tightening in future months leads equity market underperformance. The predictive factor can be modelled as a change in the slope in future implied future policy rates. It has had a meaningful and consistent effect on weekly U.S. equity returns for more than 25 years. Faster future policy tightening can mean either that the central bank has become more hawkish or that it has acted dovishly but thereby fallen behind the curve.

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The irrational neglect of optimal betting strategies

November 5, 2016

A recent betting experiment among finance students and professionals based on biased coin flipping revealed a wide gap between rational and actual behavior. The optimal strategy, which would have been constant and moderate risk taking (“Kelly criterion”), was not widely applied, notwithstanding education and training in finance. Instead, the experiment revealed a range of common behavioral biases. It challenges the general assumption of rational decision-making of finance professionals under uncertainty.

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The importance of statistical programming for investment managers

November 1, 2016

Almost every portfolio manager uses some form of quantitative analysis. Most still rely on Excel spreadsheets, but this popular tool constrains the creativity of analysis and struggles to cope with large data sets. Statistical programming in R and Python both facilitates and widens the scope of analysis. In particular, it allows using high-frequency data, alternative data sets, textual information and machine learning. And it greatly enhances the display and presentation of analytical findings.

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The impact of U.S. economic data surprises

October 29, 2016

A new paper estimated the short-term effects of U.S. economic data surprises on treasury notes and USD exchange rates over the past 20 years. All of 21 commonly followed data releases produced highly significant surprise effects at least for parts of the sample. However, only non-farm payrolls produced a consistently highly significant impact. After short-term interest rates reached the zero lower bound, the importance of surprises to CPI inflation, housing indicators and weekly jobless claims increased noticeably, possibly related to the Fed’s struggle with its dual mandate.

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The dominance of price over value

October 1, 2016

Market prices reveal information about fundamental value indirectly. Private research produces information about fundamental value directly. Neither is a perfect indicator of fundamental value: the former due to non-fundamental market factors, and the latter due to limitations of private research. However, plausible theoretical research shows that overtime the information content of prices in respect to (known) fundamentals improves faster due to aggregation and averaging. When this happens investors rationally neglect their own fundamental research. This can erode information efficiency of the market and lead to sustained misalignments if the market as a whole misses key risks and value factors.

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Selecting macro factors for trading strategies

September 17, 2016

A powerful statistical method for selecting macro factors for trading strategies is the “Elastic Net”. The method simultaneously selects factors in accordance with their past predictive power and estimates their influence conservatively in order to contain the influence of accidental correlation. Unlike other statistical selection methods, such as “LASSO”, the “Elastic Net” can make use of a large number of correlated factors, a typical feature of economic time series.

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Mutual fund flows and fire sale risk

September 10, 2016

A new empirical paper looks at the drivers of U.S. mutual funds flows across asset classes. An important finding is that changes of monetary policy expectations towards tightening trigger net outflows from bond funds and net inflows into equity funds. Typically, the costs of redemptions are borne by investors that do not redeem or redeem late. This creates incentives for fire sales and causes of price distortions, particularly if the outlook for monetary policy is revised significantly.

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Corporate bond market momentum: a model

September 3, 2016

An increase in expected default ratios naturally reduces prices for corporate bonds. However, it also triggers feedback loops. First, it reduces funds’ wealth and demand for corporate credit in terms of notional, resulting in selling for rebalancing purposes. Second, negative performance of funds typically triggers investor outflows, resulting in selling for redemption purposes. Flow-sensitive market-making and momentum trading can aggravate these price dynamics. A larger market share of passive funds can increase tail risks.

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The importance of differentiating types of oil price shocks

August 13, 2016

To assess the consequences of an oil price shock for markets it is important to identify its type. A new method separates oil supply shocks, oil market-specific demand shocks and global growth shocks. Supply shocks have accounted for about 50% of price volatility since the mid-1980s. Oil market-specific shocks drive a wedge between the growth of developed and emerging economies and hence matter for exchange rate trends. Global demand shocks to oil prices do not cause such a divergence.

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Fed policy shocks and foreign currency risk premia

August 5, 2016

A new Federal Reserve paper suggests that non-conventional monetary policy easing “shocks” not only push foreign currencies higher versus the U.S. dollar, but also reduce the risk premia on foreign-currency cash and bonds. Non-conventional easing shifts the options-implied skewness of risk from dollar appreciation to depreciation, due partly to diminishing U.S. dollar funding pressure. The effects appear to be temporary, though.

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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.

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