This paper suggests a refinement of the standard T2 test statistic used in testing asset pricing theories in linear factor models. The test is designed to have improved power characteristics and to deal with the empirically important case where there are many more assets than time periods. This is necessary because the case of too few time periods invalidates the conventional T2. Furthermore, the test is shown to have reasonable power in cases where common factors are present in the residual covariance matrix
We propose a novel framework for analyzing linear asset pricing models: simple, robust, and applicab...
This paper derives the asymptotic distribution of the F-test for the significance of linear regressi...
I use the sequential approach of Harvey and Liu (2018) to build linear factor models in U.K. stock r...
We propose a new statistic, the average F statistic, for testing linear asset pricing models. The av...
This paper proposes a novel test of zero pricing errors for the linear factor pricing model when the...
We show that statistical inference on the risk premia in linear factor models that is based on the F...
- Abstract-A set of recent papers attempts to explain the size and book-to-market anoma-lies with co...
This study uses the Bayesian approach of Barillas and Shanken (2018) and the classical approach of B...
This paper describes the process of ML-estimating of the equity correlations which can be used as pr...
An important but still partially unanswered question in the investment field is why different assets...
While many recent empirical studies of the CAPM have used conditional beta tests, this technique has...
A new method is proposed for estimating linear triangular models, where identification results from ...
The use of propensity score models for program evaluation with non-experimental data typically requi...
Time series factor analysis (TSFA) and its associated statistical theory is developed. Unlike dynami...
There is a useful but not widely known framework for jointly implementing Durbin-Wu-Hausman exogenei...
We propose a novel framework for analyzing linear asset pricing models: simple, robust, and applicab...
This paper derives the asymptotic distribution of the F-test for the significance of linear regressi...
I use the sequential approach of Harvey and Liu (2018) to build linear factor models in U.K. stock r...
We propose a new statistic, the average F statistic, for testing linear asset pricing models. The av...
This paper proposes a novel test of zero pricing errors for the linear factor pricing model when the...
We show that statistical inference on the risk premia in linear factor models that is based on the F...
- Abstract-A set of recent papers attempts to explain the size and book-to-market anoma-lies with co...
This study uses the Bayesian approach of Barillas and Shanken (2018) and the classical approach of B...
This paper describes the process of ML-estimating of the equity correlations which can be used as pr...
An important but still partially unanswered question in the investment field is why different assets...
While many recent empirical studies of the CAPM have used conditional beta tests, this technique has...
A new method is proposed for estimating linear triangular models, where identification results from ...
The use of propensity score models for program evaluation with non-experimental data typically requi...
Time series factor analysis (TSFA) and its associated statistical theory is developed. Unlike dynami...
There is a useful but not widely known framework for jointly implementing Durbin-Wu-Hausman exogenei...
We propose a novel framework for analyzing linear asset pricing models: simple, robust, and applicab...
This paper derives the asymptotic distribution of the F-test for the significance of linear regressi...
I use the sequential approach of Harvey and Liu (2018) to build linear factor models in U.K. stock r...