Utility Functions whose Parameters depend on Initial Wealth

Conventional one-period utility functions in Economics assume that initial wealth only enters preferences through the definition of final wealth. Consequently, those utility functions most utilized (i.e., exponential and quadratic) have implausible risk characteristics. The authors characterize a new class of utility function whose risk parameters depend upon initial wealth and obtain several desirable results. In particular, investors with quadratic and exponential utility functions can have decreasing risk aversion, and risky assets in a quadratic utility multi-asset environment do not have to be inferior as implied by the traditional framework.     

Nonlinearity and smoothing in venture capital performance data

Performance indices for illiquid investments are known to suffer from returns smoothing, and the purpose of this paper is to investigate the presence and nature of such smoothing in the context of venture capital. We find that while the standard techniques may or may not indicate the presence of smoothing, significant evidence of smoothing exists when a nonlinear regime-dependent model is specified. Further, the model suggests the presence of regime-specific responsiveness of venture capital returns whereby different weights are placed on newly arrived information in different regimes.     

Measurement Error with Accounting Constraints: Point and Interval Estimation for Latent Data with an Application to U.K. Gross Domestic Product

An econometric methodology is proposed for reconciling inaccurate measures of latent data which are subject to accounting constraints. The method deals with the case in which the measurement errors are serially correlated, generalizing previous contributions. A class of efficient estimators are derived for the latent data. Consistent estimators for the weight matrices applied to the observed information based on a linear regression procedure are obtained together with confidence interval estimators for these weight matrices. Approximate confidence intervals are suggested for the latent data themselves together with specification tests for the assumptions underlying the procedure. An application of the proposed method is made to U.K. Gross Domestic Product in constant prices for 1958Q–1989Q4.     

How Persistent is Stock Return Volatility? An Answer with Markov Regime Switching Stochastic Volatility Models

Abstract:  We propose generalised stochastic volatility models with Markov regime changing state equations (SVMRS) to investigate the important properties of volatility in stock returns, specifically high persistence and smoothness. The model suggests that volatility is far less persistent and smooth than the conventional GARCH or stochastic volatility. Persistent short regimes are more likely to occur when volatility is low, while far less persistence is likely to be observed in high volatility regimes. Comparison with different classes of volatility supports the SVMRS as an appropriate proxy volatility measure. Our results indicate that volatility could be far more difficult to estimate and forecast than is generally believed.     

How much does an Illegal Insider Trade?

This paper examines the choice of trade size by an illegal insider. Previous literature (i.e. Meulbroek 1992) tends to focus on the price impact of such a trader. Using a unique data set hand‐collected from the litigation reports of the Securities and Exchange Commission and court cases, we provide evidence, which suggests that the size of an illegal insider's trade is a function of the value of his private information, the probability of detection and the expected penalty if detected. Our results have important implication for security market regulators.     

Social welfare issues of financial literacy and their implications for regulation

Financial literacy has become a prominent item on the public agenda worldwide, with its relevance very much underlined by the high-profile role played by consumer finance in global credit crises from 2007 onwards. Assumptions about the level of consumers’ financial literacy frequently influence the formulation of regulatory policy, whether tacitly or explicitly and many national governments are actively engaged in financial education programs of various sorts. Indeed since at least 2003 the OECD has actively developed and encouraged such efforts. An underlying supposition of these initiatives is that more financial literacy is socially preferable to less. We examine that supposition in a formal analytic framework and demonstrate plausible conditions under which it is not true. We discuss implications of this for policy-makers and regulators alike.     

Risk discriminating portfolio optimization

Risk discriminating portfolio optimization provides a risk-related path to performance optimization