Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good … forecasts of future volatility are critical for the implementation and evaluation of asset pricing theories. In response to this …, a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility at the daily …

Volatility has been one of the most active and successful areas of research in time series econometrics and economic … empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications. Volatility is … inherently latent, and Section 1 begins with a brief intuitive account of various key volatility concepts. Section 2 then …

forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting … ARCH or stochastic volatility models, which often perform poorly at intraday frequencies. Use of realized volatility … and forecasting. Building on the theory of continuous-time arbitrage-free price processes and the theory of quadratic …

Market participants' forecasts of future exchange rate volatility can be recovered from option contracts on foreign … currencies. Such implicit volatility forecasts for four currencies are used to test rational expectations jointly with the … version of market rationality: the market can correctly forecast the direction of the change in exchange rate volatility. This …

of the multi-step forecasting risk and the impulse response estimation risk to determine hyperparameters in settings …

features. It produces continuous food security estimates and measures of estimation uncertainty at the household level. Unlike … latent trait estimation. We observe overlap in BGRM estimates across USDA-defined food security categories and significant …