Macroeconomic uncertainty—the conditional volatility of the unforecastable component of a future value of a time series …

-variance analysis of alternative investments has been hampered by the lack of a systematic treatment of volatility in these markets … underlying volatility. For example, in art markets, auction houses often give price guarantees to the seller that resemble put … the price index, allowing to treat the volatility parameter as the object of interest. The model can be estimated using …

It is common practice to estimate the volatility-growth link by specifying a standard growth equation such that the … a biased and inconsistent estimate of the volatility-growth link. Our simulations show that this effect is large. Once … variance equation must include relevant control variables to estimate the volatility-growth link. …

Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are … divergent when volatility clusters idiosyncratically. It is illustrated that this property is important for empirical … multivariate stochastic volatility model is proposed as a robust alternative …

This paper proposes a Skewed Stochastic Volatility (SSV) model to model time varying, asymmetric forecast distributions … volatility and asymmetric measurement densities. Estimating the model based on US data yields conditional forecast densities that …