In today’s interrelated economies, financial information travel at speed of light to reach investors around the globe. Global financial markets experience regular shocks that transmit negative waves to other equity markets and different asset classes. Given the unique characteristics of...

We investigate a novel dataset of more than half a million 15 second transcribed audio snippets containing COVID-19 mentions from major US TV stations throughout 2020. Using the Latent Dirichlet Allocation, an unsupervised machine learning algorithm, we identify seven COVID-19 related topics...

We conduct a decomposition for the stock market return by incorporating the information from 124 macro variables. Using factor analysis, we estimate six common factors and run a VAR containing these factors and financial variables such as the market dividend yield and the T-bill rate. Including...

This paper examines the long and short-run relationships between three Central European Economies stock returns (Poland, Hungary and Czech Republic) and their main western economic and trading partner, which is Germany. We obtain evidence of links between macroeconomic variables and stock...

This study intends to find the impact of political and catastrophic events on stock returns of Karachi Stock Exchange (KSE-100 Index). A total of forty three political and four catastrophic events have been considered from May 1998 to September 2013. Political events are further divided into two...