We develop a hybrid model that relies on the nonlinear classification Decision Tree (DT) approach but also on multivariate predictive regressions to aid implement a size rotation strategy in the U.S. equity markets. Our investment prediction is derived with a two-stage algorithm. In the first...

In a recent book, Kolari et al. developed a new theoretical capital asset pricing model dubbed the ZCAPM. Based on out-of-sample cross-sectional tests using U.S. stocks, the ZCAPM consistently outperformed well-known multifactor models popular in the finance literature. This paper presents...

Part I: Introduction -- Chapter 1: Portfolio Theory and Practice -- Part II: Previous Asset Pricing Models -- Chapter 2: General Equilibrium Asset Pricing Models -- Chapter 3: Multifactor Asset Pricing Models -- Part III: The ZCAPM -- Chapter 4: A New Asset Pricing Model: The ZCAPM -- Chapter 5:...

We propose a parsimonious quantile regression framework to learn the dynamic tail behaviors of financial asset returns. Our model captures well both the time-varying characteristic and the asymmetrical heavy-tail property of financial time series. It combines the merits of a popular sequential...