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broadly, our study dispels the notion that volatility is not forecastable at long horizons and offers an approach that …
Persistent link: https://www.econbiz.de/10011976983
size and power properties of CUSUM based, LM and Wald volatility break tests. In a simulation study we derive the … properties of the tests under shifts in the unconditional and conditional variance as well as for smooth shifts in the volatility … process. Our results indicate that Wald tests have more power of detecting a change in the volatility than CUSUM and LM tests …
Persistent link: https://www.econbiz.de/10011295307
volatility and the spread used for trading. The results of the trading strategies suggest that cointegrated portfolios based on … part of the econometric analysis explores Granger causality between volatility and the spread. For this analysis, we … implement two types of forecasting models for Bitcoin volatility: the GARCH (generalized autoregressive conditional …
Persistent link: https://www.econbiz.de/10014495264
volatility of the Standard and Poors 500 index among recent extensions of the heterogeneous autoregressive model. While we find …, improvements achieved by the inclusion of implied volatility turn out to be insignificant. …
Persistent link: https://www.econbiz.de/10011430242
The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
Persistent link: https://www.econbiz.de/10011303289
This paper provides empirical evidence that combinations of option implied and time series volatility forecasts that … application is for volatility forecasts of the Mexican Peso–US Dollar exchange rate, where realized volatility calculated using … intra-day data is used as a proxy for the (latent) daily volatility. -- Composite Forecasts ; Forecast Evaluation ; GARCH …
Persistent link: https://www.econbiz.de/10003821060
Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management … the daily or lower frequency volatility can be obtained by summing over squared high-frequency returns.In turn, this so …-called realized volatility can be used for more accurate model evaluation and description of the dynamic and distributional structure …
Persistent link: https://www.econbiz.de/10003727640
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
proxy for σ2t. We show that some commonly used criteria for evaluation of volatility models, may induce a different … provide an additional argument for using intra-day data to approximate σ2t , such as realized volatility. …
Persistent link: https://www.econbiz.de/10010318932
We examine the impact of temporal and portfolio aggregation on the quality of Value-at-Risk (VaR) forecasts over a horizon of ten trading days for a well-diversified portfolio of stocks, bonds and alternative investments. The VaR forecasts are constructed based on daily, weekly or biweekly...
Persistent link: https://www.econbiz.de/10011431503