THE IMPORTANCE OF LIQUIDITY AS A FACTOR IN ASSET PRICING

We employ the Fama‐French time‐series regression approach to examine liquidity as a risk factor affecting stock returns. Prior studies establish liquidity as an important consideration in investment decisions. Here, liquidity is found to be an important factor affecting portfolio returns, even after the effects of market, size, book‐to‐market equity, and momentum are considered. Nonzero intercepts remain, however, indicating continued missing risk factors.     

THE PRICING OF EQUITY CARVE‐OUTS DURING THE 1990s

We examine the level of underpricing and characteristics of equity carveouts (ECOs) from 1990 to 1998 (the 1990s) and from 1999 to 2000 (the bubble period). For a sample of 458 ECOs, we find a mean initial return of 8.75% for the 1990s and 47.76% for the bubble period. The results suggest that, similar to other initial public offerings (IPOs), ECOs have been more willing to accept underpricing through time because of an increased importance in analyst coverage and the increased use of spinning, the practice where investment bankers allocate IPOs to high‐profile customers to garner potential future business.     

APPLICABILITY OF THE FAMA‐FRENCH THREE‐FACTOR MODEL IN FORECASTING PORTFOLIO RETURNS

For the model‐based estimation of the equity cost of capital, evidence shows that the common practice of using the average historical factor premiums as the estimates of the next‐period factor premiums generates inaccurate estimates. I propose an alternative way to estimate factor premiums by using the structural variables that are important predictors of future asset returns. Based on the out‐of‐sample results from a trading strategy with four in‐sample model‐selection criteria, I find that my estimation procedure performs better than the common practice even when transaction costs are considered.     

USING THE CAPM AS A GENERAL FRAMEWORK FOR ASSET PRICING ANALYSIS

In this paper a model of asset pricing is derived that relaxes the restrictive assumptions of standard theories. The model leads to a tractable capital asset pricing model framework that can be used to test empirical hypotheses and draw important insights on capital market equilibrium.     

ADAPTIVE MESH MODELING AND BARRIER OPTION PRICING UNDER A JUMP‐DIFFUSION PROCESS

The computational burden of numerical barrier option pricing is significant, even prohibitive, for some parameterizations—especially for more realistic models of underlying asset behavior, such as jump diffusions. We extend a binomial jump diffusion pricing algorithm into a trinomial setting and demonstrate how an adaptive mesh may fit into the model. Our result is a barrier option pricing method that employs fewer computational resources, reducing run times substantially. We demonstrate that this extension allows the pricing of options that were previously computationally infeasible and examine the parameterizations in which use of the adaptive mesh is most beneficial.     

THE FAMA‐FRENCH MODEL,LEVERAGE, AND THE MODIGLIANI‐MILLER PROPOSITIONS

For a cost‐of‐equity model to conform to the Modigliani‐Miller cost‐of‐capital propositions, any sensitivity coefficients in the model must be related to the firm's leverage. In this paper I apply these principles to the Fama‐French model for the cost of equity and develop the relation between its sensitivity coefficients and firm leverage. I then examine an empirical process developed by Fama and French (1997) to model the evolution through time of their sensitivity coefficients and show that this empirical process is inconsistent with the Modigliani‐Miller propositions. Separable functions are proposed for these sensitivity coefficients that are consistent with the Modigliani‐Miller propositions.     

HEDGE FUND SURVIVAL: NON-NORMAL RETURNS, CAPITAL OUTFLOWS, AND LIQUIDITY

We analyze the factors that influence the survival probability of hedge funds reported in the Lipper TASS database. Particular emphasis is placed on (1) non-normality of returns and assets under management (AUM), (2) short-term capital outflows, and (3) liquidity constraints associated with a hedge fund's cancellation policy. Estimation results using the Cox proportional hazards model and the panel logit model show that (1) funds with lower skewness in returns and AUM, (2) funds experiencing instantaneous rapid capital outflows, and (3) funds with a shorter redemption notice period and a higher redemption frequency have significantly higher liquidation probabilities, among others.     

UNDERSTANDING SIZE AND THE BOOK‐TO‐MARKET RATIO: AN EMPIRICAL EXPLORATION OF BERK'S CRITIQUE

Because they are scaled by price, the ability of size (i.e., the market capitalization of a firm) and the book‐to‐market equity ratio to determine expected returns may, according to Berk (1995) , reflect only a simultaneity bias. The two‐stage least squares approach is used to control for this bias and to investigate the economic meanings of these variables. We discover that size and the book‐to‐market ratio contain distinct and significant components of financial distress, growth options, the momentum effect, liquidity, and firm characteristics. Our findings support Berk in his contention that that size and the book‐to‐market ratio reflect a combination of different economic mechanisms that are misspecified in the expected return process.     

A MULTIVARIATE TEST OF THE GENERALISED MEAN-LOWER PARTIAL MOMENT ASSET PRICING MODEL: AUSTRALIAN EVIDENCE

This paper tests the Mean-Lower Partial Moment (MLPM) model of asset pricing, using the Gibbons (1982) multivariate methodology, as developed by Hariow and Rao (1989). The MLPM model specifies risk to be a measure of the downside deviations of return relative to a prespecified and exogenous target rate of return. The MLPM model of Hariow and Rao is a new model which has only been tested once, using US data. Therefore, further tests using independent data will help to assess whether the model deserves more serious consideration as a possible alternative to the Capital Asset Pricing Model (CAPM). In general, tests in this paper using Australian data confirm the results of Hariow and Rao (1989). The MLPM model cannot be rejected against an unspecified alternative, nor can it be rejected against the zero-beta CAPM. Conditional on the MLPM model's validity, the optimal target rate appears to be more closely related to mean market returns than either to a risk-free return or to a zero return. In addition, there is some evidence to support an intertemporally constant target rate of around 3 percent per month, over the 30 year period examined.     

DIFFERENCES OF OPINION,OVERCONFIDENCE, AND THE HIGH‐VOLUME PREMIUM

We argue that both differences of opinion and overconfidence lead to high‐volume shocks. However, a high‐volume shock induced mainly by differences of opinion (overconfidence) will lead to superior (inferior) stock returns. Empirically, Asian financial markets, in contrast to U.S. markets, reveal weaker and inconsistent high‐volume premiums. The inconsistency may be attributable to investor's overconfidence. Additional evidence based on U.S. data supports this view, as a high‐volume shock accompanied by increased institutional ownership yields substantially higher high‐volume premiums than otherwise, and high‐volume premiums generally are much stronger in down‐market states than up‐market states.     

FUNCTIONAL FORMS OF THE CAPITAL ASSET PRICING MODEL UNDER DIFFERENT MARKET RISK REGIMES

This paper demonstrates that, given the assumption that asset returns are generated by the linear market model, the same functional form for the capital asset pricing model can be derived via the simpler linear programming approach for the riskaverse, risk-neutral, and risk-loving market regimes.