In this paper a test procedure is proposed for the skewness in autoregressive conditional volatility models. The size and the power of the test are investigated through a series of Monte Carlo simulations with various models. Furthermore, applications with financial data are analyzed in order to...

This paper examines the informational role of trades in the corporate bond market. Using transaction data, we compare the temporal relation between volume and volatility of returns for both bonds and stocks issued by the same firms. We find a dramatic difference between these two securities....

In the post Bretton Woods era, the volatile nature of exchange rates has been the focus of many researchers. Although some previous studies suggest that variations in an exchange rate has the potential to affect a country’s economic performance, LDC’s (Less Developed Countries’) have...

This paper attempts to investigate and clarify previous studies on market liquidity measurement, which involve Bid-Ask Spread, Trading Frequency, and Liquidity Ratio variables. To strengthen our findings, we employ Volatility Models of ARCH and GARCH, as well as JSX daily, weekly, and monthly...

This paper attempts to investigate and clarify previous studies on market liquidity measurement, which involve Bid-Ask Spread, Trading Frequency, and Liquidity Ratio variables. To strengthen our findings, we employ Volatility Models of ARCH and GARCH, as well as JSX daily, weekly, and monthly...

In this paper, I study the drop of real GDP volatility which has been observed in the United States during the postwar period. This paper thoroughly estimates how much sectoral shifts contributed to this phenomenon called the Great Moderation. In a short section, Stock and Watson (2003) find...

Discrete time volatility models typically employ a latent scale factor to represent volatility. High frequency data may be used to construct proxies for these scale factors. Examples are the intraday high-low range and the realized volatility. This paper develops a method for ranking and...

I study whether evolution in the number of Google Internet searches for particular keywords can predict volatility in the market for foreign currency. I find that data on Google searches for the keywords economic crisis+financial crisis and recession has incremental predictive power beyond the...