Regularities in stock markets

Author:

Kakkad Abhin1,Vasoya Harsh1,Ray Arnab K.1

Affiliation:

1. Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar 382007, Gujarat, India

Abstract

From the stock markets of six countries with high GDP, we study the stock indices, S&P 500 (NYSE, USA), SSE Composite (SSE, China), Nikkei (TSE, Japan), DAX (FSE, Germany), FTSE 100 (LSE, Britain) and NIFTY (NSE, India). The daily mean growth of the stock values is exponential. The daily price fluctuations about the mean growth are Gaussian, but with a nonzero asymptotic convergence. The growth of the monthly average of stock values is statistically self-similar to their daily growth. The monthly fluctuations of the price follow a Wiener process, with a decline of the volatility. The mean growth of the daily volume of trade is exponential. These observations are globally applicable and underline regularities across global stock markets.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Scaling analysis of price by multi-scale Shannon entropy;International Journal of Modern Physics C;2022-09-29

2. Global dynamics of GDP and trade;International Journal of Modern Physics C;2022-08-17

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