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date. The construction of these measures is based on the theory of comonotonicity. Both types of herd behavior indices are …
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explicit nature of the dynamics of the CBS we show that the introduction of herding modifies the random walk to an ARIMA($0 …
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We study social learning in a social network setting where agents receive independent noisy signals about the truth. Agents naïvely update beliefs by repeatedly taking weighted averages of neighbors' opinions. The weights are fixed in the sense of representing average frequency and intensity of...
Persistent link: https://www.econbiz.de/10011801379
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …
Persistent link: https://www.econbiz.de/10011335205
We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...
Persistent link: https://www.econbiz.de/10011386468
To investigate how economies, financial markets or institutions can deal with stress, we nowadays often analyze the effects of shocks conditional on a recession or a bear market. MSVAR models are ideally suited for such analyses because they combine gradual movement with sudden switches. In this...
Persistent link: https://www.econbiz.de/10012621564
. The evolutionarymodel explains stylized facts, such as fat tails,volatility clustering and long memory, of real financial …
Persistent link: https://www.econbiz.de/10011313923
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