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The benefits of using flight-to-safety (FTS) in volatility forecasting are assessed within a multivariate GARCH … volatility. Moreover, when comparing with a benchmark and controlling for data snooping, we find that the proposed model yields …
Persistent link: https://www.econbiz.de/10012916710
forecasting the volatility of equity prices, using high-frequency data from 2000 to 2016. We consider the SPY and 20 stocks that …, 60, and 300 seconds), forecast horizons (1, 5, 22, and 66 days) and the use of standard and robust-to-noise volatility … real-time forecasts than the HAR-RV model, although no single extended model dominates. In general, standard volatility …
Persistent link: https://www.econbiz.de/10012889687
Persistent link: https://www.econbiz.de/10009720755
Volatility forecasting is crucial for portfolio management, risk management, and pricing of derivative securities …. Still, little is known about the accuracy of volatility forecasts and the horizon of volatility predictability. This paper … volatilities and propose to describe the term structure of volatility predictability by the spot and forward forecast accuracy …
Persistent link: https://www.econbiz.de/10012890910
We study the relationship between conditional quantiles of returns and the long-, medium- and short-term volatility in … the volatility time series provides us with new insights into the pricing of risk and increases the accuracy of our …
Persistent link: https://www.econbiz.de/10011722181
A large set of macroeconomic variables have been suggested as equity risk premium predictors in the literature. This paper proposes a forecasting approach for the equity risk premium with two novel features. First, individual month-ahead forecasts are obtained from parsimonious threshold...
Persistent link: https://www.econbiz.de/10012913585
This paper uses structured machine learning regressions for nowcasting with panel data consisting of series sampled at different frequencies. Motivated by the problem of predicting corporate earnings for a large cross-section of firms with macroeconomic, financial, and news time series sampled...
Persistent link: https://www.econbiz.de/10013492089
Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part of the predictive density: the censored posterior, a...
Persistent link: https://www.econbiz.de/10013064150
We introduce a flexible utility-based empirical approach to directly determine asset allocation decisions between risky and risk-free assets. This is in contrast to the commonly used two-step approach where least squares optimal statistical equity premium predictions are first constructed to...
Persistent link: https://www.econbiz.de/10013249064
Persistent link: https://www.econbiz.de/10009756308