We propose a portfolio construction method that accounts for the regime-dependent behavior of stocks, thereby impacting their expected returns. Using a hidden Markov model (HMM) and a regime-weighted least-squares approach, we estimate forward-looking regime-conditional factors. These factors...

We propose a class of new robust GMM tests for endogenous structural breaks. The tests are based on supremum and average statistics derived from robust GMM estimators with a bounded influence function. They imply a bounded linearized asymptotic bias of size and power under local model...

In this paper we investigate portfolio coskewness using a quadratic market model as return generating process. It is shown that portfolios of small (large) firms have negative (positive) coskewness with market. An asset pricing model including coskewness is tested through the restrictions it...

This paper proposes maximum (quasi)likelihood estimation for high dimensional factor models with regime switching in the loadings. The model parameters are estimated jointly by EM algorithm, which in the current context only requires iteratively calculating regime probabilities and principal...

This paper proposes maximum (quasi)likelihood estimation for high dimensional factor models with regime switching in the loadings. The model para- meters are estimated jointly by the EM (expectation maximization) algorithm, which in the current context only requires iteratively calculating...

We investigate the impact of differences in privatisation method on national economic performance in transition economies. Our approach is to estimate, using dynamic panel data methods, a growth equation over 23 countries for the period 1990-2001. Among our results, we find that mass...

This paper analyses the informational role of the trading activity when jumps occur in the US Treasury market. As jumps mark the arrival of new information to the market, we explore the contribution of jumps in reducing the informational asymmetry. We identify jumps using a combination of jump...

Dynamic panel data methods are used to estimate a growth model using data from 23 transition countries for the period 1990 to 2003. The estimating equation is augmented with country- and time-specific variables for methods of privatization and other factors potentially relevant to growth in...