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market information can be used to improve realized volatility forecasts in a large cross-section of international equity … markets. We use volatility data for the U.S. and 17 foreign equity markets from the Oxford Man Institute's realized library … and augment for each foreign equity market our benchmark HAR model with U.S. equity market volatility information. We show …
Persistent link: https://www.econbiz.de/10012998925
heteroscedasticity (GARCH)-type models to forecast oil price volatility over the time periods from January 02, 1875 to December 31, 1895 … indicate that none of our volatility models can uniformly outperform other models across all six different loss functions …
Persistent link: https://www.econbiz.de/10010488966
degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which … forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation … distribution of returns. Carefully modeling this volatility risk is fundamental. We propose a dually asymmetric realized volatility …
Persistent link: https://www.econbiz.de/10013149893
; extreme value theory ; bootstrapping …
Persistent link: https://www.econbiz.de/10003891679
Engel and West (2005) model log exchange rates as discounted log fundamentals. For ‘commodity currencies', commodity prices are often viewed as key fundamentals, implying that commodity prices should, therefore, be predicted by exchange rates and not vice-versa - which would run counter to a...
Persistent link: https://www.econbiz.de/10012937859
Commodity prices co-move, but the strength of this co-movement changes over time due to structural factors, like changing energy intensity in production and consumption as well as changing composition of underlying shocks. This paper explores whether econometric models that exploit this...
Persistent link: https://www.econbiz.de/10014486704
A Monte Carlo (MC) experiment is conducted to study the forecasting performance of a variety of volatility models under … Autoregressive Conditional Heteroskedasticity models ((FI)GARCH), the Stochastic Volatility model (SV) and the Markov … different characterizations of the latent volatility process: specifications which incorporate short/long memory, autoregressive …
Persistent link: https://www.econbiz.de/10003932329
Persistent link: https://www.econbiz.de/10003839329
This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the … management. Evaluation of volatility models is then considered and a simple Value-at-Risk (VaR) diagnostic test is proposed for …
Persistent link: https://www.econbiz.de/10013316571
This paper investigates the role of investor attention in forecasting realized volatility for fourteen international … augmented Empirical Similarity model that combines three volatility components, defined over different time horizons, using the … similarity measure between lagged Google search queries and volatility. Results show that investor attention positively affects …
Persistent link: https://www.econbiz.de/10012821063