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volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period …
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We examine the performance of volatility models that incorporate features such as long (short) memory, regime … of asset returns (MSM), namely, the Markov-Switching Multifractal model of asset returns with Student-t innovations (MSM …-t). Second, we perform a comprehensive panel forecasting analysis of the MSM models as well as other competing volatility models …
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prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …
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This paper suggests how to quantify asymmetries in volatility spillovers that emerge due to bad and good volatility … stocks at the disaggregate level. Moreover, the spillovers of bad and good volatility are transmitted at different magnitudes …
Persistent link: https://www.econbiz.de/10010509638
In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a LM test that is resistant to patches of additive outliers. The data span...
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