Recent crises have focused interest on methods to improve the functioning of financial markets. In this context it would be prudent to evaluate the effects of previous changes. Previous research on decimalization of tick size, a significant microstructure change, mostly examines its effects on...

The availability of intraday data led to the development of new concepts and models. In the paper we focus on the jumps observed in the stock and index returns. These abnormal returns should be linked to information on the market. Here we detect jumps in equally spaced 15-minute intraday returns...

The vast of literature concerning the reaction to macroeconomic announcements focus on American releases and their impact on returns and volatility. We are interested if the news from the German and the Polish economy are significant for the stock exchanges in these two countries. Using...

In this paper we propose a new multivariate GARCH model with time-varying conditional correlation structure. The approach adopted here is based on the decomposition of the covariances into correlations and standard deviations. The time-varying conditional correlations change smoothly between two...

Abstract This paper investigates the nature of shocks across international equity markets and evaluates the shifts in their comovements at a business-cycle frequency. Using an “identification through heteroskedasticity” methodology, we compute the impact coefficients on the common and...

We propose a novel way to assess information processing in a complex environment of market fragmentation. We take a different angle from the price discovery literature, and investigate information processing in the stochastic process driving stock's volatility (volatility discovery). We show...

This paper presents a new approach to look at equity market valuations. The paper formulates a derivative of three valuation based ratios widely used by investors and fund managers. The derivative “Equity Market Valuation Index” converts valuation ratios in to an index that rages between...

Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional...

Standard economic intuition suggests that asset prices are more sensitive to news than other economic aggregates. This has led many researchers to conclude that asset price data would be very useful for the estimation of business cycle models containing news shocks. This paper shows how to...

We propose a mixed frequency stochastic volatility (MFSV) model for the dynamics of intraday asset return volatility. In order to account for long-memory we separate stochastic daily and intraday volatility patterns by introducing a long-run component that changes at daily frequency and a...