What Can the Log-periodic Power Law Tell about Stock Market Crash in India?

被引:0
|
作者
Sarda, Varun [1 ]
Karmarkar, Yamini [2 ]
Lakhotia, Neha [3 ]
Sen, Pratima [4 ]
机构
[1] Devi Ahilya Univ, AFMR, Indore 452001, Madhya Pradesh, India
[2] Devi Ahilya Univ, Int Inst Profess Studies, Indore, Madhya Pradesh, India
[3] Vikram Univ, Prestige Inst Management Dewas, Ujjain, Madhya Pradesh, India
[4] Devi Ahilya Univ, Sen Sch Phys, Indore, Madhya Pradesh, India
来源
APPLIED ECONOMICS JOURNAL | 2010年 / 17卷 / 02期
关键词
log-periodic; stock market; stock market crashes;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Stock markets have been of great interest to investors and academicians due to the uncertainty and expected pecuniary profits attached to them. For a few years, the Indian capital market has seen high volatility and market crashes. Market crashes are often preceded by speculative bubbles with two main characteristics: (a) power law acceleration of the market price, and (b) logperiodic oscillations. This paper attempts to investigate whether the Indian stock market follows log-periodicity. Here log-periodicity refers to the fact that the oscillations are periodic in the logarithm of the time-to-crash. Speculative bubbles of financial markets show similarities in the way they evolve and grow. This particular oscillating movement can be captured by the log-periodic power law. If market follows log-periodicity, a crash may be predicted. The analysis shows that logperiodic oscillations are present in the Indian stock market.
引用
收藏
页码:45 / 54
页数:10
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