We refine the approximate factor model of asset returns by distinguishing between natural rate factors, whose sum of squared factor betas grow at the same rate as the number of assets, and semi-strong factors, whose sum of squared factor betas grow to infinity, but at a slower rate. We...

Two-pass cross sectional regression (TPCSR) is frequently used in estimating factor risk premiums. Recent papers argue that the common practice of grouping assets into portfolios to reduce the errors-in-variables (EIV) problem leads to loss of efficiency and masks potential deviations from asset...

This paper develops a two-step semiparametric methodology for portfolio weight selection for characteristics- based factor-tilt and factor-timing investment strategies. We build upon the expected utility maximization framework of Brandt (1999) and Aït-sahalia and Brandt (2001). We assume that...

The foundation of modern portfolio theory is the mean-variance portfolio selection approach of Markowitz (1952, 1959). We discuss the role of factor models in implementing portfolio selection, defining the nature of systematic risk, and estimating the premium for risk bearing

Factor models of security returns decompose the random return on each of a cross-section of assets into pervasive components, affecting almost all assets, and a diversifiable component. We describe four alternative approaches to factor models of asset returns. We also discuss issues related to...

Although the US credit crisis precipitated it, the Irish credit crisis is an identifiably separate one, which might have occurred in the absence of the U.S. crash. The distinctive differences between them are notable. Almost all the apparent causal factors of the U.S. crisis are missing in the...

This paper develops a dynamic approximate factor model in which returns are time-series heteroskedastic. The heteroskedasticity has three components: a factor-related component, a common asset-specific component, and a purely asset-specific component. We develop a new multivariate GARCH model...

This paper develops a new estimation procedure for characteristic-based factor models of stock returns. It describes a factor model in which the factor betas are smooth nonlinear functions of observed security characteristics. It develops an estimation procedure that combines nonparametric...