تقرير
Multifactor Analysis of Multiscaling in Volatility Return Intervals
| العنوان: | Multifactor Analysis of Multiscaling in Volatility Return Intervals |
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| المؤلفون: | Wang, Fengzhong, Yamasaki, Kazuko, Havlin, Shlomo, Stanley, H. Eugene |
| المصدر: | Phys. Rev. E 79, 016103 (2009) |
| سنة النشر: | 2008 |
| المجموعة: | Physics (Other) Quantitative Finance |
| مصطلحات موضوعية: | Quantitative Finance - Statistical Finance, Physics - Physics and Society |
| الوصف: | We study the volatility time series of 1137 most traded stocks in the US stock markets for the two-year period 2001-02 and analyze their return intervals $\tau$, which are time intervals between volatilities above a given threshold $q$. We explore the probability density function of $\tau$, $P_q(\tau)$, assuming a stretched exponential function, $P_q(\tau) \sim e^{-\tau^\gamma}$. We find that the exponent $\gamma$ depends on the threshold in the range between $q=1$ and 6 standard deviations of the volatility. This finding supports the multiscaling nature of the return interval distribution. To better understand the multiscaling origin, we study how $\gamma$ depends on four essential factors, capitalization, risk, number of trades and return. We show that $\gamma$ depends on the capitalization, risk and return but almost does not depend on the number of trades. This suggests that $\gamma$ relates to the portfolio selection but not on the market activity. To further characterize the multiscaling of individual stocks, we fit the moments of $\tau$, $\mu_m \equiv <(\tau/<\tau>)^m>^{1/m}$, in the range of $10 < <\tau> \le 100$ by a power-law, $\mu_m \sim <\tau>^\delta$. The exponent $\delta$ is found also to depend on the capitalization, risk and return but not on the number of trades, and its tendency is opposite to that of $\gamma$. Moreover, we show that $\delta$ decreases with $\gamma$ approximately by a linear relation. The return intervals demonstrate the temporal structure of volatilities and our findings suggest that their multiscaling features may be helpful for portfolio optimization. Comment: 16 pages, 6 figures |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1103/PhysRevE.79.016103 |
| URL الوصول: | http://arxiv.org/abs/0808.3200 |
| رقم الأكسشن: | edsarx.0808.3200 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1103/PhysRevE.79.016103 |
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