We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov-switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully non-linear multivariate specification (one-step approach)...

This paper provides an early warning indicator for bubbles in financial markets. The indicator is based on traditional unit root tests, more precisely on the augmented Dickey-Fuller test and may be used in a repeated manner with rolling samples. The performance of the indicator is tested...

This paper examines the degree of persistence in the volatility of financial time series using a Long Memory Stochastic Volatility (LMSV) model. Specifically, it employs a Gaussian semiparametric (or local Whittle) estimator of the memory parameter, based on the frequency domain, proposed by...

We examine whether Basu's (1997) differential timeliness metric and the related C-Score metric are effective in detecting predictable differences in conservatism surrounding corrections of overstated earnings. Cross-sectional and time-series analyses, employing 2,132 firms making restatements...

We examine the private information associated with insider trades using a Chinese data set. Insider buys positively forecast individual stock returns and insider sales negatively forecast individual stock returns. Classifying insiders as corporate managers and institutional investors, we find...

There is now a great deal of empirical evidence that business cycle fluctuations contain asymmetries. The asymmetries found in post-war U.S. data are inconsistent with the behavior of the U.S. economy in the Great Depression. In a model where business cycle asymmetries are produced by rational...