A Dynamic Test of Conditional Asset Pricing Models

A Dynamic Test of Conditional Asset Pricing Models
Author: Daniele Bianchi
Publisher:
Total Pages: 42
Release: 2019
Genre:
ISBN:

I use Bayesian tools to develop a dynamic testing methodology for conditional factor pricing models, in which time-varying betas, idiosyncratic risks, and factors risk premia are jointly estimated in a single step. Based on this framework, I test over fifty years of post-war monthly data some of the most common factor pricing models on size, book-to-market, and momentum deciles portfolios, both in the time series and in the cross section. The empirical results show that, a conditional specification of the recent five-factor model of Fama and French (2015) outperforms a set of theory-based competing linear pricing models along several dimensions.

Conditional Asset Pricing with a Large Information Set

Conditional Asset Pricing with a Large Information Set
Author: Emanuel Moench
Publisher:
Total Pages: 38
Release: 2007
Genre:
ISBN:

Dynamic factors summarize the information in a large number of variables and are therefore intuitively appealing proxies for the information set available to investors. This paper demonstrates that conditioning on dynamic factors instead of commonly used instruments substantially reduces the pricing errors implied by conditional models. Dynamic factors are further shown to exhibit incremental explanatory power over benchmark conditioning variables. The results withstand a number of robustness tests and carry important implications for the specification of conditional asset pricing models in applied research and practice.

Time-Varying Conditional Covariances in Tests of Asset Pricing Models

Time-Varying Conditional Covariances in Tests of Asset Pricing Models
Author: Campbell R. Harvey
Publisher:
Total Pages: 36
Release: 2005
Genre:
ISBN:

This paper proposes tests of asset pricing models that allow for time variation in conditional covariances. The evidence indicates that the conditional covariances do change through time. Estimates of the expected excess return on the market divided by the variance of the market (reward-to-risk ratio) are presented for the Sharpe-Lintner CAPM, as well as a number of tests of the model specification. The patterns of the pricing errors through time suggest the model's inability to capture the dynamic behavior of asset returns. This is the working paper version of my 1989 Journal of Financial Economics article.

A Cross-Sectional Test of an Investment-Based Asset Pricing Model

A Cross-Sectional Test of an Investment-Based Asset Pricing Model
Author: John H. Cochrane
Publisher:
Total Pages:
Release: 2009
Genre:
ISBN:

I examine a factor pricing model for stock returns. The factors are returns on physical investment, inferred from investment data via a production function. I examine the model's ability to explain variation in expected returns across asset and over time. The model is not rejected. It performs about as well as the CAPM and the Chen, Roll, and Ross factor model, and it performs substantially better than a simple consumption-based model. I also provide an easy technique for estimating and testing dynamic, conditional asset pricing models--one simply includes factors and returns scaled by instruments in an unconditional estimate--and for comparing such models.

A Cross-Sectional Test of a Production-Based Asset Pricing Model

A Cross-Sectional Test of a Production-Based Asset Pricing Model
Author: John H. Cochrane
Publisher:
Total Pages: 66
Release: 2010
Genre:
ISBN:

This paper tests a factor pricing model for stock returns. The factors are returns on physical investment, inferred from investment data via a production function. The tests examine the model's ability to explain the variation in expected returns across assets and over time. The model is not rejected. It performs about as well as the CAPM and the Chen, Roll and Ross factor model, and it performs substantially better than a simple consumption-based model. In comparison tests, the investment return factors drive out all the other models. The paper also provides an easy technique for estimating and testing dynamic, conditional asset pricing models. All one has to do is include factors and returns scaled by instruments in an unconditional estimate. This procedure imposes none of the usual restrictions on conditional moments, and does not require prewhitened or orthogonalized factors.

Empirical Dynamic Asset Pricing

Empirical Dynamic Asset Pricing
Author: Kenneth J. Singleton
Publisher: Princeton University Press
Total Pages: 497
Release: 2009-12-13
Genre: Business & Economics
ISBN: 1400829232

Written by one of the leading experts in the field, this book focuses on the interplay between model specification, data collection, and econometric testing of dynamic asset pricing models. The first several chapters provide an in-depth treatment of the econometric methods used in analyzing financial time-series models. The remainder explores the goodness-of-fit of preference-based and no-arbitrage models of equity returns and the term structure of interest rates; equity and fixed-income derivatives prices; and the prices of defaultable securities. Singleton addresses the restrictions on the joint distributions of asset returns and other economic variables implied by dynamic asset pricing models, as well as the interplay between model formulation and the choice of econometric estimation strategy. For each pricing problem, he provides a comprehensive overview of the empirical evidence on goodness-of-fit, with tables and graphs that facilitate critical assessment of the current state of the relevant literatures. As an added feature, Singleton includes throughout the book interesting tidbits of new research. These range from empirical results (not reported elsewhere, or updated from Singleton's previous papers) to new observations about model specification and new econometric methods for testing models. Clear and comprehensive, the book will appeal to researchers at financial institutions as well as advanced students of economics and finance, mathematics, and science.

Dynamic Asset-pricing Models

Dynamic Asset-pricing Models
Author: Andrew Wen-Chuan Lo
Publisher: Edward Elgar Publishing
Total Pages: 680
Release: 2007
Genre: Business & Economics
ISBN:

Presents a selection of the most important articles in the field of financial econometrics. Starting with a review of the philosophical background, this collection covers such topics as the random walk hypothesis, long-memory processes, asset pricing, arbitrage pricing theory, variance bounds tests, term structure models, and more.