We estimate a multivariate unobserved components-stochastic volatility model to explain the dynamics of a panel of six exchange rates against the US Dollar. The empirical model is based on the assumption that both countries' monetary policy strategies may be well described by Taylor rules with a...

We estimate a multivariate unobserved components stochastic volatility model to explain the dynamics of a panel of six exchange rates against the US Dollar. The empirical model is based on the assumption that both countries' monetary policy strategies may be well described by Taylor rules with a...

Many government policies are being implemented to stabilize the economy, such as price stability and income stability. One of the policies necessary to achieve stabilization is full employment. However, the growth rate of unemployment in many countries is evident and seems more volatile in...

This paper compares the aggregate effects of sectoral reallocation in the United States and Western Germany using a stochastic volatility model of sectoral employment growth. Reallocative shocks have no effect on the natural rate of unemployment in either country, and there is mild evidence that...

In this paper, I estimate a series of long run reallocative shocks to sectoral employment using a stochastic volatility model of sectoral employment growth for the United States from 1960 through 2011. Reallocative shocks (which primarily measure construction and technology busts) have little...

In this paper we study a conditional version of the Wang transform in the context of discrete GARCH models and their diffusion limits. Our first contribution shows that the conditional Wang transform and Duan's generalized local risk-neutral valuation relationship based on equilibrium...

This paper explains why a two-component GARCH model as proposed by Ding and Granger (1996) or Engle and Lee (1999) can be an ideal alternative model for practitioners in modeling stock return volatility. I show that the two-component GARCH model can easily capture the slow hyperbolic decay of...

The Internet Appendix consists of three sections. Section A shows data sources and detailed data processing procedures. In Section B, we outline seven forecasting models. Last, Section C represents the empirical results

This paper explores the possibility of the potential usage of machine learning models in the field of realized volatility forecasting of crude oil with a vast variety of empirical analyses and robustness checks. Although the conventional heterogeneous autoregressive (HAR) model is widely...

It is difficult to predict stock market returns but relatively easy to predict market volatility. But volatility predictions don't easily translate into return predictions since the two are largely uncorrelated. We put forward a framework that produces a formula in which returns become a...