We develop the relationship between the stepwise F-test model selection criteria and information-based criteria for orthogonal regression models. We obtain the asymptotic properties of the stepwise F-tests with respect to efficiency and consistency. The performances of F-test as well as other...

When it is reasonable to assume that a model exhibits smoothness, goodness-of-fit statistics can be constructed that have higher power to detect deviations from a specified parametric model than tests based only on the empirical distribution. Recently Azzalini, Bowman and Härdle (1989) proposed...

We obtain the residual information criterion RIC, a selection criterion based on the residual log-likelihood, for regression models including classical regression models, Box-Cox transformation models, weighted regression models and regression models with autoregressive moving average errors. We...

We use a data set from market participants in the Taiwan Stock Exchange Capitalization Weighted Stock Index options markets to demonstrate a strong positive relationship between prior trading outcomes and subsequent risk taking. In particular, investors in this market take above-average risks in...

The mean-variance theory of Markowitz (1952) indicates that large investment portfolios naturally provide better risk diversification than small ones. However, due to parameter estimation errors, one may find ambiguous results in practice. Hence, it is essential to identify relevant stocks to...