Hypothesis Testing with Model Search
- 537 Downloads
This chapter covers the discussions of model selection tests in empirical asset pricing models with the asymptotic properties developed in Chap. 4. In particular, model selection with forward selection for variables in empirical asset pricing models is introduced. The purpose of this chapter is to consider the sequential model search where model selection tests (or criteria) with additional asymptotic properties for common factors of asset returns are used. Differing from the other empirical studies, the emphasis is on the cross-sectional commonality of these presumed variables or factors when the asset returns are projected onto these variables. Given that the underlying intrinsic mechanism of asset returns is unknown, the sequential model search is to pursue the optimality in approximation that the basic requirement for these presumed variables or factors will satisfy the coherence condition where cross-sectional dependence is persistent.
- Barmalzan, G., and A.T.P. Najafabadi. 2012. Model Confidence Set based on Kullback-Leibler Divergence Distance. Journal of Statistical Research, Iran 9: 179–193.Google Scholar
- Billings, S., and H.-L. Wei. 2005. A Multiple Sequential Orthogonal Least Squares Algorithm for Feature Ranking and Subset Selection. ACSE Research Report No. 908.Google Scholar
- Hansen, B. 2005. Challenges for Econometric Model Selection. Econometric Theory 21: 60–68.Google Scholar