Volatility comovement: a multifrequency approach

Realized Volatility in Noisy Prices: a MSRV approach

Volatility is the primary measure of risk in modern finance and volatility estimation and inference has attracted substantial attention in the recent financial econometric literature, especially in high-frequency analyses. High-frequency prices carry a significant amount of noise. Therefore, there are two volatility components embedded in the returns constructed using high frequency prices: the...

Modeling Gold Volatility: Realized GARCH Approach

F orecasting the volatility of a financial asset has wide implications in finance. Conditional variance extracted from the GARCH framework could be a suitable proxy of financial asset volatility. Option pricing, portfolio optimization, and risk management are examples of implications of conditional variance forecasting. One of the most recent methods of volatility forecasting is Real...

The roles of comovement and inventory investment in the reduction of output volatility

On the Volatility and Comovement of U.S. Financial Markets around Macroeconomic News Announcements

The objective of this paper is to provide a deeper insight into the links between financial markets and the real economy. To that end, we study the short-term anticipation and response of U.S. stock, Treasury, and corporate bond markets to the first release of surprise U.S. macroeconomic information. Specifically, we focus on the impact of these announcements not only on the level, but also on ...

The Roles of Comovement and Inventory Investment in the Reduction of Output Volatility

More than 80 percent of the decline in the variance of aggregate output since 1984 is accounted for by a decline in the covariance (and correlation) of output among industries that hold inventories. Using a HAVAR macro model (Fratantoni and Schuh 2003) with only two sectors, manufacturing and trade, we show that this decline in comovement – and thus much of the Great Moderation in aggregate and...