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asset management are predicated on the importance of jumps, or discontinuous movements in asset returns. In light of this, a … number of recent papers have addressed volatility predictability, some from the perspective of the usefulness of jumps in …
Persistent link: https://www.econbiz.de/10009771770
Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many limitations. HF data feature microstructure problem,...
Persistent link: https://www.econbiz.de/10011730304
assumptions of jumps in prices and leverage effects for volatility. Findings suggest that daily-data models are preferred to HF …-data models at 5% and 1% VaR level. Specifically, independently from the data frequency, allowing for jumps in price (or providing …
Persistent link: https://www.econbiz.de/10011674479
We introduce and investigate some properties of a class of nonlinear time series models based on the moving sample quantiles in the autoregressive data generating process. We derive a test fit to detect this type of nonlinearity. Using the daily realized volatility data of Standard & Poor's 500...
Persistent link: https://www.econbiz.de/10010478989
This paper develops a method to improve the estimation of jump variation using high frequency data with the existence of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component of volatility in finance for portfolio allocation,...
Persistent link: https://www.econbiz.de/10011568279
variation ; truncated power variation ; quarticity ; infinite activity jumps … (2009a,b,c) to examine the importance of jumps, and in particular "large" and "small" jumps, using high frequency price … returns on 25 stocks in the DOW 30 and S&P futures index. In particular, we examine jumps from both the perspective of their …
Persistent link: https://www.econbiz.de/10009151972
I provide conditions under which the trimmed FDQML estimator, advanced by McCloskey (2010) in the context of fully parametric short-memory models, can be used to estimate the long-memory stochastic volatility model parameters in the presence of additive low-frequency contamination in log-squared...
Persistent link: https://www.econbiz.de/10013098304
I provide conditions under which the trimmed FDQML estimator, advanced by McCloskey (2010) in the context of fully parametric short-memory models, can be used to estimate the long-memory stochastic volatility model parameters in the presence of additive low-frequency contamination in log-squared...
Persistent link: https://www.econbiz.de/10009660446
estimators and use simulations to show that they behave adequately in the presence of jumps and heteroskedastic and heavy …
Persistent link: https://www.econbiz.de/10011411344
estimators and use simulations to show that they behave adequately in the presence of jumps and heteroskedastic and heavy …
Persistent link: https://www.econbiz.de/10013007161