U.S. stock volatility is 33 percent lower during wartime and periods of conflict. This is true even for World Wars I and II, which would seemingly increase uncertainty. In a seminal paper, Schwert (1989) identified the "war puzzle" as one of the most surprising facts from two centuries of stock...

A Monte Carlo (MC) experiment is conducted to study the forecasting performance of a variety of volatility models under alternative data generating processes (DGPs). The models included in the MC study are the (Fractionally Integrated) Generalized Autoregressive Conditional Heteroskedasticity...

In this paper, we analyze the long-run behavior and short-run dynamics of stock markets across some selected developed and emerging economies - namely the United States, the Euro Area, Japan, the United Kingdom, Australia, South Korea, Thailand and Brazil - in the Cointegrated...

The present paper tries to analyze the macroeconomic determinants of stock returns in a relative context using monthly data from 1999 to 2013 for a panel of emerging economies, India and China. Using modern panel data time series techniques, the paper tries to examine the relative impact of...