Realized Volatility and Long Memory: An Overview |
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Authors: | Esfandiar Maasoumi Michael McAleer |
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Affiliation: | a Department of Economics, Southern Methodist University, Dallas, Texas, USAb School of Economics and Commerce, University of Western Australia, Perth, Western Australia, Australia |
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Abstract: | The challenge of modeling, estimating, testing, and forecasting financial volatility is both intellectually worthwhile and also central to the successful analysis of financial returns and optimal investment strategies. In each of the three primary areas of volatility modeling, namely, conditional (or generalized autoregressive conditional heteroskedasticity) volatility, stochastic volatility and realized volatility (RV), numerous univariate volatility models of individual financial assets and multivariate volatility models of portfolios of assets have been established. This special issue has eleven innovative articles, eight of which are focused directly on RV and three on long memory, while two are concerned with both RV and long memory. |
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Keywords: | Forecasting Integrated variance Realized quarticity Realized volatility Returns Risk Securities |
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