The impact of U.S. economic data surprises

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

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

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

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

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

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

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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Sticky expectations and predictable equity returns

New research documents that company earnings expectations of analysts have historically been sticky, plausibly reflecting that it takes time and effort to update forecasts. Such stickiness can explain two important anomalies of stock returns: price momentum and outperformance of high-profitability stocks. Indeed, these two anomalies have been correlated and stronger for stocks where analyst expectations have been stickier.

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Trend following as tail risk hedge

Typical returns of a trend following strategy carry features of a “long vol” position and have positive convexity. Typical returns of long only strategies, such as risk parity, rather exhibit a “short vol” profile and negative convexity. This makes trend following a useful complement of long-only portfolios, by mitigating tail risks that manifest as escalating trends. Options are naturally a cleaner hedge for tail risk, but have over the past two decades been prohibitively expensive.

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The illiquidity risk premium

The illiquidity risk premium is an excess return paid to investors for tying up capital. The premium compensates the investor for forfeiting the options to contain mark-to-market losses and to adapt positions to a changing environment. A brief paper by Willis Towers Watson presents an approach to measure the illiquidity risk premium across assets. The premium appears to be time-variant and highest during and pursuant to financial crises.

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