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High-frequency financial data are characterized by a set of ubiquitous statistical properties that prevail with surprising uniformity. While these 'stylized facts' have been well-known for decades, attempts at their behavioral explanation have remained scarce. However, recently a new branch of...
Persistent link: https://www.econbiz.de/10003721495
We overview different methods of modeling volatility of stock prices and exchange rates, focusing on their ability to reproduce the empirical properties in the corresponding time series. The properties of price fluctuations vary across the time scales of observation. The adequacy of different...
Persistent link: https://www.econbiz.de/10013158884
these lines reveals a strong role for a (tamed) herding component. The quantitative performance of the winner model is so … good that it may provide a standard for future research. -- Method of simulated moments ; moment coverage ratio ; herding …
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This paper proposes different diffusion processes to model herd behavior indices such as the Herd Behavior Index (HIX) or the comonotonicity index (CIX). These models arise by combining popular mean-reverting processes with simple algebraic functions mapping the definition domain of the...
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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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This study explains the role of economic uncertainty as a bridge between business cycles and investors' herding … the power law exponent are used as proxies for business cycles and herding behavior, respectively. We fnd stronger herding …
Persistent link: https://www.econbiz.de/10014530169
Financial Reynolds number (Re) has been proven to have the capacity to predict volatility, herd behaviour and nascent bubble in any stock market (bourse) across the geographical boundaries. This study examines forty two bourses (representing same number of countries) for the evidence of the...
Persistent link: https://www.econbiz.de/10012305755