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相关论文: Financial Networks in the Korean Stock Exchange Ma…

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We demonstrate using multi-layered networks, the existence of an empirical linkage between the dynamics of the financial network constructed from the market indices and the macroeconomic networks constructed from macroeconomic variables…

综合经济学 · 经济学 2019-03-18 Kiran Sharma , Anindya S. Chakrabarti , Anirban Chakraborti

The multifractal behavior for tick data of prices is investigated in Korean financial market. Using the rescaled range analysis(R/S analysis), we show the multifractal nature of returns for the won-dollar exchange rate and the KOSPI. We…

统计力学 · 物理学 2008-12-02 Kyungsik Kim , Seong-Min Yoon

We review the recent approach of correlation based networks of financial equities. We investigate portfolio of stocks at different time horizons, financial indices and volatility time series and we show that meaningful economic information…

统计力学 · 物理学 2009-11-10 G. Bonanno , G. Caldarelli , F. Lillo , S. Micciche` , N. Vandewalle , R. N. Mantegna

We investigate the properties of correlation based networks originating from economic complex systems, such as the network of stocks traded at the New York Stock Exchange (NYSE). The weaker links (low correlation) of the system are found to…

统计金融 · 定量金融 2008-12-02 Antonios Garas , Panos Argyrakis , Shlomo Havlin

Based on the daily data of American and Chinese stock markets, the dynamic behavior of a financial network with static and dynamic thresholds is investigated. Compared with the static threshold, the dynamic threshold suppresses the large…

统计金融 · 定量金融 2015-05-18 Tian Qiu , Bo Zheng , Guang Chen

In recent years, methods from network science are gaining rapidly interest in economics and finance. A reason for this is that in a globalized world the interconnectedness among economic and financial entities are crucial to understand and…

In this paper, we study the characteristics of the member firms on the Korea Exchange. The member firms intermediate between the market participants and the exchange, and all the participants should trade stocks through members. To identify…

综合金融 · 定量金融 2020-07-15 Min-Young Lee , Woo-Sung Jung , Gabjin Oh

We investigated the topological properties of stock networks through a comparison of the original stock network with the estimated stock network from the correlation matrix created by the random matrix theory (RMT). We used individual…

统计金融 · 定量金融 2008-12-02 Cheoljun Eom , Gapjin Oh , Hawoong Jeong , Seunghwan Kim

Several studies on real complex networks from different fields as biology, economy, or sociology have shown that the degree of nodes (number of edges connected to each node) follows a scale-free power-law distribution like $P(k)\approx…

生物物理 · 物理学 2007-05-23 J. C. Nacher , T. Yamada , S. Goto , M. Kanehisa , T. Akutsu

We embrace a fresh perspective to auditing by analyzing a large set of companies as complex financial networks rather than static aggregates of balance sheet data. Preliminary analyses show that network centrality measures within these…

计算工程、金融与科学 · 计算机科学 2023-11-30 M. Boersma , S. Sourabh , L. A. Hoogduin , D. Kandhai

The complexity of financial markets arise from the strategic interactions among agents trading stocks, which manifest in the form of vibrant correlation patterns among stock prices. Over the past few decades, complex financial markets have…

We investigate the distribution function and the cumulative probability for Korean household incomes, i.e., the current, labor, and property incomes. For our case, the distribution functions are consistent with a power law. It is also…

统计力学 · 物理学 2008-12-02 Kyungsik Kim , Seong-Min Yoon

The properties of q-dependent cross-correlation matrices of stock market have been analyzed by using the random matrix theory and complex network. The correlation structures of the fluctuations at different magnitudes have unique…

统计金融 · 定量金融 2018-03-14 Longfeng Zhao , Wei Li , Andrea Fenu , Boris Podobnik , Yougui Wang , H. Eugene Stanley

As complex networks in economics, we consider Japanese shareholding networks as they existed in 1985, 1990, 1995, 2000, 2002, and 2003. In this study, we use as data lists of shareholders for companies listed on the stock market or on the…

物理与社会 · 物理学 2007-05-23 Wataru Souma , Yoshi Fujiwara , Hideaki Aoyama

We introduce the stochastic multiplicative point process modelling trading activity of financial markets. Such a model system exhibits power-law spectral density S(f) ~ 1/f**beta, scaled as power of frequency for various values of beta…

统计力学 · 物理学 2008-12-02 Vygintas Gontis , Bronislovas Kaulakys

We investigate course registration data of 18 semesters at a Korean University to portray the time evolution of students' positions in the network of fellow students. Apart from being a study of the social positions of students, the present…

其他凝聚态物理 · 物理学 2007-05-23 Petter Holme , Sung Min Park , Beom Jun Kim , Christofer R. Edling

We present an outlook of the studies on correlations in the price timeseries of stocks, discussing the construction and applications of "asset tree". The topic discussed here should illustrate how the complex economic system (financial…

物理与社会 · 物理学 2015-06-26 Anirban Chakraborti

The time proximity of trades across stocks reveals interesting topological structures of the equity market in the United States. In this article, we investigate how such concurrent cross-stock trading behaviors, which we denote as…

交易与市场微观结构 · 定量金融 2024-05-14 Yutong Lu , Gesine Reinert , Mihai Cucuringu

Financial markets are well known examples of multi-fractal complex systems that have garnered much interest in their characterization through complex network theory. The recent studies have used correlation based distance metrics for…

统计金融 · 定量金融 2012-05-09 Sayantan Ghosh , Uwe Jaekel , Francesco Petruccione

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…

统计金融 · 定量金融 2009-11-13 Cheoljun Eom , Gabjin Oh , Seunghwan Kim