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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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This paper introduces a new class of long memory model for volatility of stock returns, and applies the model on …
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between cryptocurrencies prices and stock indices. Surprisingly, a different picture emerges on using conditional volatility … instead of prices. Like, conditional volatility-based estimation uncovers evidence of mean reversion in univariate analysis as … expected. There is some evidence of cointegration on volatility grounds between cryptocurrencies and emerging stock market …
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This paper examines long memory volatility in international stock markets. We show that long memory volatility is … the cross-sectional dimension. We also find that developed countries possess longer memory in volatility than emerging and …
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The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock market returns. The Nigerian stock market logarithmic returns time series was tested for the presence of memory using the Hurst coefficient before the models were trained. The...
Persistent link: https://www.econbiz.de/10011488820
There appears to be a consensus that the recent instability in global financial markets may be attributable in part to the failure of financial modeling. More specifically, current risk models have failed to properly assess the risks associated with large adverse stock price behavior. In this...
Persistent link: https://www.econbiz.de/10008653556