Knowledge that Transforms

This paper analyzes the determinants of the simultaneous cross-sectional variation of return and volatility risk premia. Independently of the model specification employed, the estimated risk premium associated with the default premium beta is always positive and statistically different from zero. Moreover, the risk premium of the market volatility risk premium beta is negative and statistically significant. However, both risk factors are priced economically and statistically differently in the volatility and return segments of the market. On average, common factors in both segments explain 90% of the variability of volatility risk premium portfolios, but only 65% of the variability of equity return portfolios.

We investigate whether unemployment fluctuations generate predictability in the cross-section of currency excess returns. We find that currencies with lower growth in the unemployment rate appreciate while currencies with higher growth in the unemployment rate depreciate. As a result, an investment strategy that involves investing in the former and short selling of the latter produces positive and sizable excess returns. Asset pricing tests show that the predictability is not driven by exposure to traditional risk factors such as global equity risk, global foreign exchange volatility risk, and downside risk but is related instead to an idiosyncratic unemployment risk.

This paper estimates a reduced-form model to assess the insolvency risk of General Insurance (GI) firms in the UK. In comparison to earlier studies, it uses a much larger sample including 30 years of data for 515 firms, and also considers a much wider set of possible determinants of insolvency risk. The empirical results suggest that macroeconomic and firm-specific factors both play important roles. Other key findings are the following: insolvency risk varies across firms depending on their business lines; there is default clustering in the GI industry; different reinsurance levels also affect the insolvency risk of insurance firms. The implications of these findings for regulators of GI firms under the newly launched Solvency II are discussed.

We analyze the variance risk of commodity markets. We construct synthetic variance swaps and find significantly negative realized variance swap payoffs in most markets. We find evidence of commonalities among the realized payoffs of commodity variance swaps. We also document comovements between the realized payoffs of commodity, equity and bond variance swaps. Similar results hold for expected variance swap payoffs. Furthermore, we show that both realized and expected commodity variance swap payoffs are distinct from the realized and expected commodity futures returns, indicating that variance risk is unspanned by commodity futures.

We investigate the information content of stock correlation based network measures for systemic risk rankings, such as SIFIRank (based on Google’s PageRank). Using European banking data, we show that SIFIRank is empirically equivalent to a ranking based on average pairwise stock correlations as developed in this paper. The correlation based network measures complement currently available alternative systemic risk ranking methods based on book or market values. A further analytical investigation shows that the value-added appears to be mainly attributable to pairwise cross-sectional heterogeneity rather than to more subtle network relations and feedback loops.

We examine the effect of board interlocks on patenting and R&D spending for publicly traded companies in India. We exploit a corporate governance reform to address the endogeneity of board interlocks through exogenous changes mandated by the reform requiring a subset of firms to adjust their board structure. We rely on two difference-in-differences frameworks, comparing firms affected by the reform to unaffected firms as well as comparing within the set of firms that did not have to adjust their board structure those that still experienced an exogenous increase of their network size as a result of the reform to those that did not experience a change in their network size. We find that board interlocks have significant positive effects on both R&D and patenting. The evidence suggests that the impact on R&D is induced by information transmission through interlocks. The effect on patenting is driven by firms extending patent protection by patenting inventions abroad that they have already patented in India.

We investigate the implications of technological innovation and non-diversifiable risk on entrepreneurial entry and optimal portfolio choice. In a real options model where two risk-averse individuals strategically decide on technology adoption, we show that the impact of non-diversifiable risk on the option timing decision is ambiguous and depends on the frequency of technological change. Compared to the complete market case, non-diversifiable risk may accelerate or delay the optimal investment decision. Moreover, strategic considerations regarding technology adoption play a central role for the entrepreneur’s optimal portfolio choice in the presence of non-diversifiable risk.

A key feature of the 2007 financial crisis is that for many securities trading had ceased; where trading did occur, market prices were well below intrinsic values, especially for ABS CDOs. One explanation is that information had been asymmetric, with sellers having better information than buyers. We first show the information advantages sellers had over buyers in both the issuance of CDOs and, through vertical integration, performance of the CDO collateral that could well have disrupted trading after the onset of the crisis. Using a “workhorse” model for pricing securities under asymmetric information and a novel dataset, we show how adverse selection could explain why the bulk of these securities either traded at significant discounts or did not trade at all.

As has been pointed out by a number of researchers, the normally calculated delta does not minimize the variance of changes in the value of a trader's position. This is because there is a non-zero correlation between movements in the price of the underlying asset and movements in the asset's volatility. The minimum variance delta takes account of both price changes and the expected change in volatility conditional on a price change. This paper determines empirically a model for the minimum variance delta. We test the model using data on options on the S&P 500 and show that it is an improvement over stochastic volatility models, even when the latter are calibrated afresh each day for each option maturity. We also present results for options on the S&P 100, the Dow Jones, individual stocks, and commodity and interest-rate ETFs.

This paper examines the extent to which local monetary policy stance determines the strength of US monetary policy international transmission to global equities. Using a sample of 35 countries, we document that US monetary policy surprises exert significant inverse effects on global equity returns. Our results suggest that countries whose policy rates are brought into line with that of the US are less sensitive to US monetary policy shocks only when they have a high and intermediate level of cross-border financial linkages, and only when they have a low and intermediate level of exchange rate volatility.