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characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …
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Cryptocurrencies are more and more used in official cash ows and exchange of goods. Bitcoin and the underlying … cryptocurrencies hu.berlin/CRIX indicates a wider acceptance of cryptos. One reason for its prosperity certainly being a security …
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digital asset returns are driven by high frequency jumps clustered around black swan events, resembling volatility and trading …
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volatility and implementing the variable selection technique least absolute shrinkage and selection operator (LASSO), the results …
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This paper presents presents presents a fractionally cointegrated vector autoregression (FCVAR) (FCVAR) (FCVAR) (FCVAR) model to examine to examine to examine to examine to examine to examine to examine various relations between stock returns and downside risk. Evidence from major advanced...
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