We analyze the long-term effects of firm break-up and ownership change on corporate performance. Our analysis is based on a unique data set for a large number of Czech firms spanning the period 1996-2005. We employ a propensity score matching procedure to deal with endogeneity problems. Our...

We analyze factors behind 23,213 distressed acquisitions in European emerging markets from 2007–2019. Besides the impact of financial ratios, legal form, ownership structure, firm size, and age, we emphasize the role of institutions and channels of their propagation. We show that the quality...

In our network analysis of 40 developed, emerging and frontier stock markets during 2006-2014, we describe and model volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by fitting a spatial model incorporating several...

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...

We analyze link between mortgage-related regulatory penalties levied on banks and the level of systemic risk in the U.S. banking industry. We employ a frequency decomposition of volatility spillovers (connectedness) to assess system-wide risk transmission with short-, medium-, and long-term...

We analyze total, asymmetric and frequency connectedness between oil and forex markets using high-frequency, intra-day data over the period 2007 - 2017. By employing variance decompositions and their spectral representation in combination with realized semivariances to account for asymmetric and...

Recent empirical studies have been searching for evidence on and driving forces for offshoring. Frequently, this has been done by analyzing gross trade flows related to offshore activities using gravity equations augmented by ad hoc measures of supply-side country differences. This paper...

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...