A Study of Longterm Memory in Stock Market Prices Using Rescaled Range Analysis

2003 ◽  
Vol 1 (1) ◽  
pp. 134-146
Author(s):  
A. Chandra Babu ◽  
G. Arivarignan ◽  
Punithavathy Pandian
Keyword(s):  
Stock Market ◽  
Range Analysis ◽  
Market Prices ◽  
Rescaled Range ◽  
Rescaled Range Analysis ◽  
Longterm Memory

scholarly journals Crosscorrelation Analysis between P2P Lending Market and Stock Market in China

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Bin Wang ◽  
Zhonghui Ding ◽  
Xiang Wang ◽  
Kai Shi
Keyword(s):  
Stock Market ◽  
Hurst Index ◽  
Range Analysis ◽  
Rescaled Range ◽  
Rescaled Range Analysis ◽  
P2p Lending

We first use the Hurst index and the Vn statistic to study the respective characteristics of the P2P lending market and the stock market by rescaled range analysis. In terms of fluctuations, there is an antipersistence in the P2P lending market and long-term persistence in the stock market. Then, we studied the crosscorrelation between the daily logarithmic return series of P2P lending market and stock market and found that the crosscorrelation was multifractal and antipersistent.

scholarly journals Fractal Characteristics, Multiple Bubbles, and Jump Anomalies in the Chinese Stock Market

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Sun Meng ◽  
Hairui Fang ◽  
Dongping Yu
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Chinese Stock Market ◽  
Range Analysis ◽  
Current State ◽  
Rescaled Range ◽  
Rescaled Range Analysis ◽  
Stock Market Bubbles ◽  
Fractal Characteristics ◽  
Multiple Bubbles

To consider the jump problem of the Chinese stock market, this paper takes the CSI 300 Index from April 2005 to November 2015 as the research object, uses the rescaled range analysis (R/S analysis) method to examine the fractal characteristics of the Chinese stock market in the past ten years, and deduces the possibility of multiple bubbles in the Chinese stock market. Based on this, combined with the log-periodic power law (LPPL) model, the stock market bubbles are identified in different periods. The results show that China’s stock market has some anomalies in terms of positive bubbles, negative bubbles, and reverse bubbles, as well as the cross occurrence of reverse-negative bubbles. Besides, through a comparison with the major foreign stock markets, it is found that the fluctuation range of the Chinese stock market is much larger than that of the Dow Jones Industrial Average and the FTSE 100 indices in the same period and there are also more types of multibubbles, which is a connotative anomaly that makes the Chinese stock market different from other major stock markets. Furthermore, the bubble phenomenon in the Chinese stock market during the periods of 2005/4–2007/10 and 2015/6–2015/11 is studied, and it is found that there is a jump anomaly in the Chinese stock market. Finally, based on the above empirical analysis and the current state of the stock market, this paper provides some suggestions for improving the mechanism of the Chinese stock market.

Multivariate rescaled range analysis

2021 ◽  
pp. 126631
Author(s):  
M. Meraz ◽  
J. Alvarez-Ramirez ◽  
E. Rodriguez
Keyword(s):  
Range Analysis ◽  
Rescaled Range ◽  
Rescaled Range Analysis

Rescaled range analysis in the presence of stochastic trend

2007 ◽  
Vol 77 (12) ◽  
pp. 1165-1175 ◽  
Author(s):  
Alexander Aue ◽  
Lajos Horváth ◽  
Josef Steinebach
Keyword(s):  
Range Analysis ◽  
Stochastic Trend ◽  
Rescaled Range ◽  
Rescaled Range Analysis
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