In this paper, we investigate the dynamic response of stock market volatility to changes in monetary policy. Using a vector autoregressive model, our findings reveal a significant and asymmetric response of stock returns and volatility to monetary policy shocks. Although the increase in the...

This paper examines whether macroeconomic instability can influence stock market volatility in a sample of 5 emerging European countries. To account for the effects of fundamentals, modified ARCH/GARCH models are employed. The results are discordant from one country to another, but when a...

In a production economy with trade in financial markets motivated by the desire to share labor-income risk and to speculate, we show that speculation increases volatility of asset returns and investment growth, increases the equity risk premium, and reduces welfare. Regulatory measures, such as...

We present a simple model that quantitatively replicates the behavior of stock prices and business cycles in the United States. The business cycle model is standard, except that it features extrapolative belief formation in the stock market, in line with the available survey evidence....

The main aim of this research is to examine the effect that political elections have on stock prices on the Macedonian Stock Exchange Index MBI 10. Our paper strains to imply the existence of problems due to political uncertainties of the efficient market hypothesis. The methodology used for the...

COVID-19 has quickly emerged as a novel risk, generating feverish behavior among investors, and posing unprecedented challenges for policymakers. The empirical analysis provides evidence for a significant negative effect on stock markets of COVID-19-related measures announced in the Euro Area...

Using a novel equity lending dataset, this paper is the first to show that expected returns strongly and negatively predict future equity lending fees. In comparing two expected return measures, I find that a rational expected return has stronger predictive power of future short selling activity...

This work quantifies the financial and macroeconomic effects of the most significant Brexit events from 23 June 2016 up to 31 December 2019 for fifteen economies. The study uses high-frequency data and shows that following the referendum outcome, overall the 10-year government bond yield of the...

We propose a novel reinforcement learning approach to extract high-frequency aggregate growth expectations from asset prices. While much expectations-based research in macroeconomics and finance relies on low-frequency surveys, the multitude of events that pass between survey dates renders...

Based on data until the mid 2000s, oil price changes were shown to predict international equity index returns with a negative predictive slope. Extending the sample to 2015, we document that this relationship has been reversed over the last ten years and therefore has not been stable over time....