Knowledge that Transforms

Although recent research documents a positive relation between corporate transparency and the proportion of independent directors, the direction of causality is unclear. We examine a regulatory shock that substantially increased board independence for some firms, and find that information asymmetry, and to some extent management disclosure and financial intermediation, changed at firms affected by this shock. We also examine whether these effects vary as a function of management entrenchment, information processing costs, and required changes to audit committee independence. Our results suggest that firms can alter their corporate transparency to suit the informational demands of a particular board structure.

For a long list of investment “biases,” including lack of diversification, excessive trading, and the disposition effect, we find that genetic differences explain up to 45% of the remaining variation across individual investors, after controlling for observable individual characteristics. The evidence is consistent with a view that investment biases are manifestations of innate and evolutionary ancient features of human behavior. We find that work experience with finance reduces genetic predispositions to investment biases. Finally, we find that even genetically identical investors, who grew up in the same family environment, often differ substantially in their investment behaviors due to individual-specific experiences or events.

In this study we show that market uncertainty [measured by the Chicago Board Options Exchange Market Volatility Index (VIX)] exerts a large market-wide impact on liquidity, which gives rise to co-movements in individual asset liquidity. The effect of VIX on stock liquidity is greater than the combined effects of all other common determinants of stock liquidity. We show that the uncertainty elasticity of liquidity (UEL: percent change in liquidity given a 1% change in VIX) has increased around regulatory changes in the US markets that increased the role of public traders in liquidity provision, reduced the minimum allowable price variation, weakened the affirmative obligation of NASDAQ dealers, and abolished the specialist system on the NYSE.

We use the 2007 asset-backed commercial paper (ABCP) crisis as a laboratory to study the determinants of debt runs. Our model features dilution risk: maturing short-term lenders demand higher yields in compensation for being diluted by future lenders, making runs more likely. The model explains the observed tenfold increase in yield spreads leading to runs and the positive relation between yield spreads and future runs. Results from structural estimation show that runs are very sensitive to leverage, asset values, and asset liquidity, but less sensitive to the degree of maturity mismatch, the strength of guarantees, and asset volatility.

Exceptional accuracy and speed for option pricing are available via quadrature (Andricopoulos, Widdicks, Duck, and Newton, 2003), extending into multiple dimensions with complex path-dependency and early exercise (Andricopoulos, Widdicks, Newton, and Duck, 2007). However, the exposition is incomplete, leaving many modelling processes outside the Black-Scholes-Merton framework unattainable. We show how to remove the remaining major block to universal application. Although this had appeared highly problematic, the solution turns out to be conceptually simple and implementation is straightforward (we provide code on the Journal of Financial Economics website at http://jfe.rochester.edu). Crucially, the method retains its speed and flexibility across complex combinations of option features but is now applicable across other underlying processes.

Using index options and returns from 1996 to 2009, I estimate discrete-time models where asset returns follow a Brownian increment and a Lévy jump. Time variations in these models are generated with an affine GARCH, which facilitates the empirical implementation. I find that the risk premium implied by infinite-activity jumps contributes to more than half of the total equity premium and dominates that of the Brownian increments suggesting that it is more representative of the risks present in the economy. Overall, my findings suggest that infinite-activity jumps, instead of the Brownian increments, should be the default modeling choice in asset pricing models.

We examine recovery rates of defaulted bonds in the US corporate bond market, based on a complete set of traded prices and volumes. A study of the trading microstructure around various types of default events is provided. We document temporary price pressure with high trading volumes on the default day and the following 30 days, and low trading activity thereafter. Based on this analysis, we determine market-based recovery rates and quantify various liquidity measures. We study the relation between the recovery rates and these measures, considering additionally a comprehensive set of bond characteristics, firm fundamentals, and macroeconomic variables.

This paper shows that jumps in financial asset prices are often erroneously identified and are, in fact, rare events accounting for a very small proportion of the total price variation. We apply new econometric techniques to a comprehensive set of ultra high-frequency equity and foreign exchange tick data recorded at millisecond precision, allowing us to examine the price evolution at the individual order level. We show that in both theory and practice, traditional measures of jump variation based on lower-frequency data tend to spuriously assign a burst of volatility to the jump component. As a result, the true price variation coming from jumps is overstated. Our estimates based on tick data suggest that the jump variation is an order of magnitude smaller than typical estimates found in the existing literature.

We develop a speculation-based theory of home improvements. Housing services are produced from a mix of land and structures. Homeowners optimistic about future prices for these services speculate by making improvements, which we model as them increasing their structures holding fixed their land. The recoup value (the difference between the resale value of improvements and construction costs) is simultaneously increasing in home price appreciation and falls with construction cost growth. This prediction stands in contrast to a consumption-cum-financial constraints motive in which rising home prices loosen financial constraints and lead to lower recoup values. We provide evidence consistent with a speculative motive using data on the costs and recoup values of remodeling projects across US cities.

We provide a real-options model of an industry in which agents time abandonment of their projects in an effort to protect their reputations. Agents delay abandonment attempting to signal quality. When a public common shock forces abandonment of a small fraction of projects irrespective of agents' quality, many agents abandon their projects strategically even if they are unaffected by the shock. Such “blending in with the crowd” effect creates an additional incentive to delay abandonment ahead of the shock, leading to accumulation of “living dead” projects, which further amplifies the shock. The potential for moderate public common shocks often improves agents' values.