The market efficiency in the stock markets
arXiv:physics/0701179 · doi:10.1140/epjb/e2008-00050-0
Abstract
We study the temporal evolution of the market efficiency in the stock markets using the complexity, entropy density, standard deviation, autocorrelation function, and probability distribution of the log return for Standard and Poor's 500 (S&P 500), Nikkei stock average index, and Korean composition stock price index (KOSPI). Based on the microscopic spin model, we also find that these statistical quantities in stock markets depend on the market efficiency.
8 pages, 5 figures
References in corpus (15)
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity
- Transmission of Information and Herd Behavior: an Application to Financial Markets
- Volatility clustering and scaling for financial time series due to attractor bubbling
- Speculative bubbles and crashes in stock market: an interacting-agent model of speculative activity
- A generalized spin model of financial markets
- Exponential distribution of financial returns at mesoscopic time lags: a new stylized fact
- Statistical Complexity of Simple 1D Spin Systems
- Dynamics of price and trading volume in a spin model of stock markets with heterogeneous agents
- Information flow between composite stock index and individual stocks
- Scale-Dependent Price Fluctuations for the Indian Stock Market
- Complexity analysis of the stock market
- The application of computational mechanics to the analysis of geomagnetic data
- Simulations of financial markets in a Potts-like model
- Underlying Dynamics of Typical Fluctuations of an Emerging Market Price Index: The Heston Model from Minutes to Months
- Dynamics of the return distribution in the Korean financial market