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This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and Expected Shortfall (ES) uncertainty intervals in high frequency data. A Bayesian bootstrapping and backtest density forecasts, which are based on a weighted threshold and...
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This study investigates tail dependence among five major cryptocurrencies, namely Bitcoin, Ethereum, Litecoin, Ripple, and Bitcoin Cash, and uncertainties in the gold, oil, and equity markets. Using the cross-quantilogram method and quantile connectedness approach, we identify cross-quantile...
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This paper uses an entropy-based information approach to determine if farmland values are more closely associated with …
Persistent link: https://www.econbiz.de/10008727918
and entropy based techniques. This characterization includes the following points. First, the detection of long memory … entropy. These aspects may also be studied through the concepts of non-extensive entropy and distribution using, for instance … of local roughness is performed by considering wavelet leaders based entropy. In fact, the wavelet coefficients are …
Persistent link: https://www.econbiz.de/10010834001
Rényi entropy criterion, which summarizes the uncertainty in portfolio returns. Assuming asset returns are projected by a … regime-switching regression model on the two market risk factors, we develop an entropy-based dynamic portfolio selection … empirical Sharpe and return to entropy ratios, the dynamic portfolio under the proposed strategy is much improved in contrast …
Persistent link: https://www.econbiz.de/10014332538
returns prevail). In this paper, we introduce a new assumption about the generation of knowledge, which involves entropy, i … explored in scenarios of neoclassical and endogenous growth and it is able to justify endogenous fluctuations. Entropy in the … are observable for different degrees of entropy. Complete a-periodicity (chaos) is also found for particular values of an …
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