We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

We examine the performance of volatility models that incorporate features such as long (short) memory, regime-switching and multifractality along with two competing distributional assumptions of the error component, i.e. Normal vs Student-t. Our precise contribution is twofold. First, we...

We use weekly survey data on short-term and medium-term sentiment of German investors to estimate the parameters of a stochastic model of opinion dynamics. The bivariate nature of our data set also allows us to explore the interaction between the two hypothesized opinion formation processes,...

This paper serves two purposes. First, we introduce a new data set on the German stock marketwhich is publicly available to all researchers. It comprises factor returns (a market factor, asize factor, a book-to-market factor, and a momentum factor) as well as returns of portfolioswhich are...

This paper investigates whether investor sentiment can explain stock returns on theGerman stock market. Based on a principal component analysis, we construct a senti-ment indicator that condenses information of several well-known sentiment proxies. Weshow that this indicator explains the return...

This paper conducts a comprehensive asset pricing study based on a unique dataset for theGerman stock market. For the period 1963 to 2006 we show that value characteristics andmomentum explain the cross-section of stock returns. Corresponding factor portfolios havesignificant premiums across...

We examine the performance of volatility models that incorporate features such as long (short) memory, regime-switching and multifractality along with two competing distributional assumptions of the error component, i.e. Normal vs Student-t. Our precise contribution is twofold. First, we...

This paper investigates whether investor sentiment can explain stock returns on the German stock market. Based on a principal component analysis, we construct a sentiment indicator that condenses information of several well-known sentiment proxies. We show that this indicator explains the return...

This paper develops a broad-based sentiment indicator for Germany and investigates whether investor sentiment can explain stock returns on the German stock market. Based on a principal component analysis, we construct a sentiment indicator that condenses information of several well-known...