While many studies find that the tail distribution of high frequency stock returns follow a power law, there are only a few explanations for this finding. This study presents evidence that time-varying volatility can account for the power law property of high frequency stock returns. The power...

Expectations about stock market movements are an important factor in models of investments and savings. To better understand consumers' financial behavior, economic surveys such as the Health and Retirement Study (HRS) ask participants to report expectations about the stock market. However,...

This study examines whether a conditional normal model with a nonparametric volatility distribution can account for the power law property of high frequency stock returns. The power law coefficients from the model are estimated using simulation methods applied to the empirical distribution for...

While many studies find that the tail distribution of high frequency stock returns follow a power law, there are only a few explanations for this finding. This study presents evidence that time-varying volatility can account for the power law property of high frequency stock returns. The power...

The onset of the Covid-19 pandemic in early 2020 drastically increased uncertainty throughout the economy. This led to turmoil in various financial markets, evidenced by the Dow Jones Industrial Average in March 2020 posting its largest single-day drop since the 2008 global financial crisis