This paper explores the relation between institutional quality, trust and stock market participation. In our theoretical motivation, agents update their beliefs in a Bayesian manner based on their historical observations on frauds and they choose to invest in the stock market if their subjective...

This paper applies the GARCH-MIDAS (Mixed Data Sampling) model to examine whether information contained in macroeconomic variables can help to predict short-term and long-term components of the return variance. A principal component analysis is used to incorporate the information contained in...

We employ spatial econometrics techniques to investigate to what extentcountries’ economic and geographical relations affect their stock market comovements.We propose an econometric model that is particularly suitable for financial data, where common time trends prevail. In general, among the...

Current models for predicting volatility do not incorporate information flow and are solely based on historical volatilities. We suggest a method to quantify the semantic content of words in news articles about a company and use this as a predictor of its stock volatility. The results show that...