The Stretched Exponential, The Vogel Law, and All That

Author(s):  
Michael F. Shlesinger ◽  
John T. Bendler
2010 ◽  
Vol 09 (02) ◽  
pp. 203-217 ◽  
Author(s):  
XIAOJUN ZHAO ◽  
PENGJIAN SHANG ◽  
YULEI PANG

This paper reports the statistics of extreme values and positions of extreme events in Chinese stock markets. An extreme event is defined as the event exceeding a certain threshold of normalized logarithmic return. Extreme values follow a piecewise function or a power law distribution determined by the threshold due to a crossover. Extreme positions are studied by return intervals of extreme events, and it is found that return intervals yield a stretched exponential function. According to correlation analysis, extreme values and return intervals are weakly correlated and the correlation decreases with increasing threshold. No long-term cross-correlation exists by using the detrended cross-correlation analysis (DCCA) method. We successfully introduce a modification specific to the correlation and derive the joint cumulative distribution of extreme values and return intervals at 95% confidence level.


Medicine ◽  
2019 ◽  
Vol 98 (25) ◽  
pp. e16012 ◽  
Author(s):  
Yuan Qu ◽  
Lisui Zhou ◽  
Jie Jiang ◽  
Guangnan Quan ◽  
Xiaocheng Wei

2002 ◽  
Vol 60 (6) ◽  
pp. 827-833 ◽  
Author(s):  
E. R Hunt ◽  
P. M Gade ◽  
N Mousseau

2008 ◽  
Vol 354 (19-25) ◽  
pp. 2905-2908 ◽  
Author(s):  
H. Okamoto ◽  
Y. Sobajima ◽  
T. Toyama

Sign in / Sign up

Export Citation Format

Share Document