Empirical evaluation of asset pricing models: arbitrage and pricing errors over contingent claims
In a 1997 paper, Hansen and Jagannathan develop two pricing error measures for asset pricing models. The first measure is the maximum pricing error on given test assets, and the second measure is the maximum pricing error over all possible contingent claims. We develop a simulation-based Bayesian inference of the pricing error measures. Although linear time-varying and multifactor models are widely reported to have small pricing errors on standard test assets, we demonstrate that these models can have large pricing errors over contingent claims because their stochastic discount factors are ...
Duality and arbitrage with transactions costs: theory and applications
Recent advances in duality theory have made it easier to discover relationships between asset prices and the portfolio choices based on them. But this approach to arbitrage-free securities markets has yet to be extended and applied to economies with transactions costs. This paper does so, within the context of a general state-preference model of securities markets. Several applications are developed to illustrate the nature of the theory and its potential to resolve a host of issues surrounding the effects of transactions costs on securities markets.
The dynamic relationship between the federal funds rate and the Treasury bill rate: an empirical investigation
This article examines the dynamic relationship between two key U.S. money market interest rates - the federal funds rate and the 3-month Treasury bill rate. Using daily data over the period 1974 to 1999, we find a long-run relationship between these two rates that is remarkably stable across monetary policy regimes of interest rate and monetary aggregate targeting. Employing a non-linear asymmetric vector equilibrium correction model, which is novel in this context, we find that most of the adjustment towards the long-run equilibrium occurs through the federal funds rates. In turn, there is ...
Exchange-rate puzzles in a model with arbitrage.
This paper documents the implications of arbitrage costs on the behavior of exchange rates in an open-economy liquidity model. The main motivation behind the paper is the growing evidence that the well-documented departures from purchasing power parity are due to a failure of the law of one price. The paper quantifies the importance of arbitrage costs for the variability, persistence, and autocorrelation of real and nominal exchange rates and compares the results with those of a model with nominal rigidities and firms pricing to market; second, the paper studies the impact of currency risk ...
An international arbitrage pricing model with PPP deviations
This paper develops an intertemporal, international asset pricing model for use in applied theoretical and empirical research. An important feature of the model is that it incorporates both stochastic inflation rates and stochastic Purchasing Power Parity deviations (PPP). The model derives the equilibrium real return on assets, and obtains empirically tractable reduced form equations which can be used to examine such issues as capital market segmentation, currency substitution, exchange rate volatility, and the forward exchange market's risk premium. Mechanically, the model begins as a ...
Macroeconomic risk and asset pricing: estimating the apt with observable factors
This paper develops and applies a new maximum likelihood method for estimating the Arbitrage Pricing Theory (APT) model with observable risk factors. The approach involves simultaneous estimation of the factor loadings and risk premiums and can be applied to return panel with more securities than time series observations per security. Observable economic factors are found to account for 25 to 40 percent of the covariation in U.S. equity returns, and the APT pricing restrictions cannot be rejected for most sample periods. A significant "firm size anomaly" is measured, but it may be partly ...
A Model of Anomaly Discovery
We analyze a model of anomaly discovery. Consistent with existing evidence, we show that the discovery of an anomaly reduces its magnitude and increases its correlation with existing anomalies. One new prediction is that the discovery of an anomaly reduces the correlation between deciles 1 and 10 for that anomaly. Using data for 12 well-known anomalies, we find strong evidence consistent with this prediction. Moreover, the correlation between deciles 1 and 10 of an anomaly becomes correlated with the aggregate hedge-fund wealth volatility after the anomaly is discovered. Our model also sheds ...