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...

This paper introduces a new method for identifying the simultaneity between returns and trading flows. The proposed method enables us to identify the intraday interaction using daily data, and provides measures of the information content of trading flows, and their instantaneous response to...

We analyse investors‟ motives for trading on international stock markets and investigate whether evidence for these motives is robust when time-varying market volatility, changes between calm and turbulent periods, and existence of international financial spillovers are controlled for....

We quantify the causal link between exchange rate movements and sovereign risk of 16 major emerging market economies (EMEs) by means of structural vector autoregressive models (SVARs) using data from 10/2004 through 12/2016. We apply a novel data based identification approach of the structural...

We quantify the causal link between exchange rate movements and sovereign risk of 16 major emerging market economies (EMEs) by means of structural vector autoregressive models (SVARs) and conditional on data from 10/2004 through 12/2016. We apply a novel data-based identification approach of the...

We quantify the causal link between exchange rate movements and sovereign risk of 16 major emerging market economies (EMEs) by means of structural vector autoregressive models (SVARs) using data from 10/2004 through 12/2016. We apply a novel data based identification approach of the structural...

A double world index model is proposed as an ideal way of characterizing the comovement among emerging stock markets, and applied to Budapest-Istanbul as an interesting case. An exclusive increase in the correlation between Budapest and Istanbul during the recent crisis period is documented. To...

A Structural VAR model is employed to investigate the effects of monetary and fiscal policy shocks on stock market performance in Germany, UK and the US. A significant number of past studies have concentrated their attention on the relationship between monetary policy and stock market...

We impose a structure on the short-run market inefficiencies in the asset markets and use this structure to identify a structural vector autoregressive model. This novel identification method is based on more reasonable assumptions than the standard approaches and also gives estimates for...

This paper studies the potential for complex asset return dynamics in a high-frequency, non-fundamental feedback trading model. Price adjustment is driven by the time-varying price impact of net orderflow. In tranquil times feedback trading has no impact on the price level. Given feedback...