of the parameters driving the risk-neutral conditional distributions and term structure of volatility, thereby enhancing …

We incorporate a latent stochastic volatility factor and macroeconomic expectations in an affine model for the term … and implied volatility of T-bonds and survey forecasts of GDP growth and inflation. We find relatively stable inflation … risk premia averaging at 40bps at the long-end, and which are strongly related to the volatility factor and conditional …

while allowing for aggregate stochastic volatility. We find that the bulk of yield dynamics comes from short rate …

respectively by CBOE's VIX and their newly-launched swap rate volatility index -- SRVX -- exhibit significantly distinct behaviors …

advantages: i) ensures nonnegative interest rates, ii) easily accommodates unspanned factors affecting volatility and risk …, volatility, and risk premium dynamics — including when interest rates are close to the zero lower bound …

In a tractable stochastic volatility model, we identify the price of the smile as the price of the unspanned risks … traded in SPX option markets. The price of the smile reflects two persistent volatility and skewness risks, which imply a …-form and structural models of stochastic volatility …

against volatility risk increases after a market drop. This effect is stronger for short horizons and more persistent for long …

predicted by standard asset pricing models by including a term that is the product of the stock's idiosyncratic volatility and … volatility and expected stocks returns. Relying on forecast revisions from IBES, we construct a new variable that proxies for … this term and show that it explains a signi cant part of the empirical relation between idiosyncratic volatility and stock …