We introduce a long memory autoregressive conditional Poisson (LMACP) model to model highly persistent time series of counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. It is shown that the LMACP nicely captures salient features of...

This paper provides the first study of foreign investors' trading in a sizeable European emerging stock market, using a combination of daily and monthly complete data collected at the destination. It also introduces the structural conditional correlation (SCC) methodology to identify the...

We study the correlation between pairs of bond and stock markets in Canada and the United States between January 1998 and December 2006 in the framework of Diagonal-BEKK models. Our research question is whether monetary policy action and communication by the Bank of Canada and the Federal...

This paper examines the characteristics of firms that voluntarily provide interim financial reports. Based on a sample of Swiss companies, where semi-annual reports became mandatory in 1997, I document that before interim reports became mandatory, analyst coverage, i.e. analysts’ demand for...

The Nasdaq stock market provides information about buying and selling interest in what is called the Level II display. Using a bivariate VAR model of trades and quotes, I assess the effect of Level II prices and depths on short-run quote dynamics. I also determine the influence of individual...

Herd behavior is often viewed as a significant threat for the stability and effciency of financial markets. This paper sheds new light on the relevance of herd behavior for observed correlation of trades. We introduce numerical simulations of a herd model to derive theory-guided predictions...

The present study addresses the economic interpretation of stock market volatility. We argue that its character is inherently ambivalent, being considered as an indicator of either information flow or uncertainty.We discriminate between these views by measuring the fraction of price changes that...

Using daily return data from the four major Central and Eastern European stock markets including fourteen highly liquid stocks and ATX (Vienna), PX (Prague), BUX (Budapest), and WIG20 (Warsaw) market indices, we model the value-at-risk using a set of univariate GARCH-type models. Our results...

The study concentrates on an analysis of the Czech stock market performed by an application of DCC MV GARCH model of Engle (2002). Data sample including years from 1994 to 2009 is represented by daily returns of Prague Stock Exchange index and other 11 major stock indices. There is found an...