We characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. Our analysis is based on a unique data set of high-frequency futures returns for each of the markets. We find that news surprises produce conditional mean...

We provide a simple and intuitive measure of interdependence of asset returns and/or volatilities. In particular, we formulate and examine precise and separate measures of return spillovers and volatility spillovers. Our framework facilitates study of both non-crisis and crisis episodes,...

This paper examines the relationship between stock market development and economic growth in case of Argentina's economy. Apply Granger causality and exogeneity tests based on VEC (vector error correction) models with monthly data covering the period 1993:1-2010:8. The results show that the...

We investigate how the relative contribution of external factors to stock price movements varies with the degree of financial development. We find that financial development makes stock markets more susceptible to external influences (both financial and macroeconomic). Interestingly, this effect...

Im Rahmen der Aufarbeitung des Wirecard-Skandals wird ebenfalls eine Änderung der Kriterien zur Aufnahme in den deutschen Leitindex DAX diskutiert. Die bislang von der Deutschen Börse vorgelegten Vorschläge zur Reformierung des DAX gehen in die richtige Richtung, sind aber nicht weitreichend...

We provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous-time jump diffusion models traditionally used in asset pricing finance. Our approach builds directly on recently developed realized variation measures...

In this paper we study the presence of calendar anomalies in the main Latin- American stock markets, for the 1993 to 2007 period. The literature has shown that the detection of those effects may depend on error distribution assumptions (Baker et al., 2008), and that their existence could be due...

Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price...

We provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous-time jump diffusion models traditionally used in asset pricing finance. Our approach builds directly on recently developed realized variation measures...

This paper provides an analysis of the link between the oil market and the U.S. stock market returns at the aggregate as well as industry levels. We empirically model oil price changes as driven by speculative demand shocks along with consumption demand and supply shocks in the oil market. We...