We develop a new methodology that allows conditional performance to be a function of information available at the start of the performance period but does not make assumptions about the behavior of the conditional betas. We use econometric techniques developed by Lynch and Wachter (2011) that...

This Internet Appendix contains mathematical and empirical results on the market timing induced bias in Jensen's alpha using conditional models with time-varying skill in the spirit of Kacperczyk et al. (2014).Full paper available at "https://ssrn.com/abstract=1253923"...

Several analysts report explosive annualized Sharpe Ratios (ASRs) for investment portfolio performance evaluation of high frequency traders (HFTers) ranging from 4.3 to 5,000. This suggests that the profitability of HFT is much higher than that of other actively managed portfolios. In highly...

The efficient market hypothesis implies that the price of a financial derivative should mirror the value of its underlying asset(s). This model is used to reconsider an historic anomaly—the large, allegedly irrational, premia on investment trusts that preceded the 1929 crash. First, we...

We present a general equilibrium model in which heterogeneous investors choose among bonds, stocks, and an Index Fund holding the market portfolio. We show that, under standard assumptions, an equilibrium exists. We then derive predictions for equilibrium asset prices, investor behavior, and...

We examine the roles of rational and behavioural factors in explaining long-run premiums/discounts on closed-end funds, using evidence on equity funds from the US and UK. Although the processes by which fund prices converge towards long-run premiums or discounts are similar in the two countries,...

The portfolio performance evaluation involves the determination of how a managed portfolio has performed relative to some comparison benchmark. Performance evaluation methods generally fall into two categories, namely conventional and risk-adjusted methods. The most widely used conventional...