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...

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...

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...

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...

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...

We empirically investigated the effects of market factors on the information flow created from N(N-1)/2 linkage relationships among stocks. We also examined the possibility of employing the minimal spanning tree (MST) method, which is capable of reducing the number of links to N-1. We determined...

This study aimed to investigate long-term inhibition of chlortetracycline (CTC) antibiotics to anaerobic digestion (AD) of swine manure (SM). Two continuous-stirred tank reactors treating SM w/wo CTC spiking (3 mg/L) were operated for 900 days. The exposure level was determined according to...

The rapid advent of digital money (DM) and assets raises questions about its implications for the functioning of the international monetary system (IMS). The low transaction costs of digital technologies, their accessibility and ease of automation, and their integration into existing digital...

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...