We identify an important correlation between skewness and kurtosis for a broad class of complex dynamic systems and present a specific analysis of earthquake and financial time series. Two regimes of non-Gaussianity can be identified: a parabolic one, which is common in various fields of physics, and a power law one, with exponent 4/3, which at the moment appears to be specific of earthquakes and financial markets. For this property we propose a model and an interpretation in terms of very rare events dominating the statistics independently on the nature of the events considered. The predicted scaling relation between skewness and kurtosis matches very well the experimental pattern of the second regime. Regarding price fluctuations, this si...
This paper investigates the common intuition suggesting that during crises the shape of the financia...
A short review is given of some research topics recently developed in the framework of quantitative ...
This article focuses on the analysis of financial time series and their correlations. A method is us...
We identify an important correlation between skewness and kurtosis for a broad class of complex dyna...
WOS: 000365872100013PubMed ID: 26764857In a recent paper [M. Cristelli, A. Zaccaria, and L. Pietrone...
Cahier de Recherche du Groupe HEC Paris, n° 710Recent portfolio choice, asset pricing, and option va...
This paper investigates the common intuition suggesting that during crises the shape of the financia...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
In this paper, we study marginal and conditional skewness in financial returns for nine time series ...
Recent portfolio-choice, asset-pricing, value-at-risk, and option-valuation models highlight the imp...
Earthquakes are phenomena of great complexity, however some simple general laws govern the statistic...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
We discuss several models in order to shed light on the origin of power-law distributions and power-...
In this paper, we propose that relations between high-order moments of data distributions, for examp...
This paper investigates the common intuition suggesting that during crises the shape of the financia...
A short review is given of some research topics recently developed in the framework of quantitative ...
This article focuses on the analysis of financial time series and their correlations. A method is us...
We identify an important correlation between skewness and kurtosis for a broad class of complex dyna...
WOS: 000365872100013PubMed ID: 26764857In a recent paper [M. Cristelli, A. Zaccaria, and L. Pietrone...
Cahier de Recherche du Groupe HEC Paris, n° 710Recent portfolio choice, asset pricing, and option va...
This paper investigates the common intuition suggesting that during crises the shape of the financia...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
In this paper, we study marginal and conditional skewness in financial returns for nine time series ...
Recent portfolio-choice, asset-pricing, value-at-risk, and option-valuation models highlight the imp...
Earthquakes are phenomena of great complexity, however some simple general laws govern the statistic...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
We discuss several models in order to shed light on the origin of power-law distributions and power-...
In this paper, we propose that relations between high-order moments of data distributions, for examp...
This paper investigates the common intuition suggesting that during crises the shape of the financia...
A short review is given of some research topics recently developed in the framework of quantitative ...
This article focuses on the analysis of financial time series and their correlations. A method is us...