Recently there has been a great deal of interest in modeling volatility fluctuations. ARCH models, for example, provide … parsimonious approximations to volatility dynamics. Here we provide a selective amount of certain aspects of conditional volatility …

-diffusions, and models of stochastic volatility. This paper explores the statistical properties of these models with a view to …

intraday data and nonparametric volatility measures, along with a new jump detection technique and appropriate conditional … alleviate microstructure frictions for realized volatility estimation. Size and power of the procedure are explored through …

Most affine models of the term structure with stochastic volatility (SV) predict that the variance of the short rate is …(3) SV model generates a time series for the variance state variable that is strongly negatively correlated with a GARCH …;unspanned stochastic volatility (USV).quot; Of the models tested, only the A1(4) USV model is found to generate both realistic volatility …

It appears that volatility in equity markets is asymmetric: returns and conditional volatility are negatively … correlated. We provide a unified framework to simultaneously investigate asymmetric volatility at the firm and the market level … empirical evidence on asymmetry to Japanese stocks. Although volatility asymmetry is present and significant at the market and …

heteroskedasticity in their movements. In particular, we estimate a structural-form GARCH' model that includes the short-term interest …

We create a newspaper-based Equity Market Volatility (EMV) tracker that moves with the VIX and with the realized … volatility of returns on the S&P 500. Parsing the underlying text, we find that 72 percent of EMV articles discuss the … Macroeconomic Outlook, and 44 percent discuss Commodity Markets. Policy news is another major source of volatility: 35 percent of …