We study the dynamical behavior of high-frequency data from the Korean Stock Price Index (KOSPI) using the movement of returns in Korean financial markets. The dynamical behavior of a binarized series of our models is not completely random. In addition, the conditional probability is numerically...

In this work, we graft the volatility clustering observed in empirical financial time series into the Equiluz and Zimmermann (EZ) model, which was introduced to reproduce the herding behaviors of a financial time series. The original EZ model failed to reproduce the empirically observed...

We study the tick dynamical behavior of three assets in financial markets (the KOSPI, the won–dollar and yen–dollar exchange rates) using the rescaled range (R/S) analysis. The multifractal Hurst exponents with long-run memory effect can be obtained from those assets, and we discuss whether...

The herd behavior of returns for the won–dollar exchange rate and the Korean stock price index (KOSPI) is analyzed in Korean financial markets. It is reported that the probability distribution P(R) of returns R for three types of herding parameter satisfies the power-law behavior P(R)≃R−β...