In this paper, we investigate the effect of fast traders in continuous double action markets using agent-based modeling. We consider two agent types, such as fast and slow traders, by preference of investment time in a high-risk environment. Additionally, the order aggressiveness of agents with...

In financial market, one of complex systems, there is highly nonlinear interaction between heterogeneous traders. Due to this nonlinear interaction, emergent behavior, which is so called ‘stylized facts' occurs in financial market. To understand impact of interaction between heterogeneous...

We study the effect of network formation on cooperation in the finitely repeated prisoner’s dilemma based on the game-theoretical model approach. We suggest the model explaining the effect of endogenous network formation on cooperation. We find a subgame perfect strongly pairwise-Nash...

Based on the game-theoretical model approach, I analyze the equilibrium state in the finitely repeated networked prisoner's dilemma. From the 1st round to round t_c, all players play the simple two-person prisoner's dilemma game with a partner randomly selected. From round t_c to the final...

We propose a novel approach for estimating the similarity between the trends of two time series, which has been an important problem in the fields of finance, economics and econophysics. We introduce the exit-time correlation (EC) to measure this similarity based on the exit-time method recently...

We investigate the grouping property of industry sectors in the complex network based on stock data for US and Korean stock markets. The complex networks are constructed by the minimal spanning tree (MST). We propose a novel approach based on the shortest path length (SPL) between stocks to...

The systemic risk induced by a connection among financial objects is generally measured by returns, volatility, interbank loans, etc. Nevertheless, these measures do not capture the microscale component of the interconnections induced by heterogeneous investor activity. In this paper, we exploit...

We study the long-term memory in diverse stock market indices and foreign exchange rates using the Detrended Fluctuation Analysis(DFA). For all daily and high-frequency market data studied, no significant long-term memory property is detected in the return series, while a strong long-term memory...

We investigate statistical properties of daily international market indices of seven countries, and high-frequency $S&P500$ and KOSDAQ data, by using the detrended fluctuation method and the surrogate test. We have found that the returns of international stock market indices of seven countries...

The stock market has been known to form homogeneous stock groups with a higher correlation among different stocks according to common economic factors that influence individual stocks. We investigate the role of common economic factors in the market in the formation of stock networks, using the...