Systemic Importance Evaluation of Insurance Group Based on Complex Network of Chinese Financial Market

2021 ◽  
Author(s):  
GuoZhen LI ◽  
Feng Zhou ◽  
Lin Zhang
Keyword(s):  
Complex Network ◽  
Financial Market ◽  
Insurance Group

scholarly journals Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Binghui Wu ◽  
Tingting Duan
Keyword(s):  
Nonlinear Dynamics ◽  
Complex Network ◽  
Financial Market ◽  
Financial Risk ◽  
Interdisciplinary Studies ◽  
Microscopic Mechanism ◽  
Agent Modeling ◽  
Complex Network Theory ◽  
New Research ◽  
Dynamics Characteristic

Risk contagion is becoming a research hotspot in the field of econophysics with the rise of interdisciplinary studies and gains more and more attention from theoretical circles and practical departments. This paper proposes a new research frame to discuss the microscopic mechanism of risk contagion based on agent modeling technology and complex network theory and reveals nonlinear dynamics characteristic of risk contagion from the perspective of market participants in financial market. Based on the proposed SICM model, financial risk can transmit from susceptible agents to infected agents, to contagious agents, or to immune agents. With the increases of contagious probabilities, the simulation experiments show that (1) the amount of susceptible agents continuously decreases; (2) the amount of infected agents increases first and then decreases; (3) the amount of contagious agents increases first and then decreases with a lower speed, relative to the amount of infected agents; and (4) the amount of immune agents continuously increases. The major contribution of this paper is a new method for studying nonlinear dynamics characteristic of risk contagion, which can be used as a theoretic basis for further researches on the behavioral features of microcosmic subject and the inner mechanisms of risk contagion.

Financial market volatility based on complex network and fuzzy logic theory

2021 ◽  
pp. 1-10
Author(s):  
Zhiyang Li
Keyword(s):  
Fuzzy Logic ◽  
Complex Networks ◽  
Complex Network ◽  
Financial Market ◽  
Implied Volatility ◽  
Foreign Exchange Market ◽  
Market Volatility ◽  
Model Free ◽  
Theoretical Construction ◽  
Fuzzy Logic Theory

Volatility is an inherent attribute of the financial market, which is usually expressed as the degree of volatility of financial asset prices. The volatility of the financial market means that there is uncertainty or risk in the market. This paper mainly studies financial market fluctuations based on complex networks and fuzzy logic theory. This article first systematically organizes and summarizes the theoretical construction of complex networks and fuzzy logic. In terms of complex networks, the definition of complex networks, the theory of commonly used functions (classical models of complex networks) and the solving methods are sorted out. In the construction of fuzzy logic theory, starting with quantifiable financial market volatility indicators, the construction models of realized volatility and implied volatility are discussed, and complex network models of implied volatility and model-free models are discussed. The theoretical construction methods were compared and analyzed. Finally, it summarizes the theoretical construction methods of implied volatility index and points out the advantages of model-free implied volatility as a market volatility and risk measurement index, which contains more effective future risk information and is based on implied volatility. The empirical research on indexes and complex network models has laid a theoretical foundation. Experimental data shows that the bond market and the foreign exchange market have the largest fluctuations in the correlation coefficient, reaching 0.35; followed by the stock market and the bond market, which is about 0.17; the stock market and foreign exchange market with the smallest fluctuations are about 0.08. The experimental results show that the financial market volatility research data based on complex networks and fuzzy logic theory is more accurate.

External Factors of Big Business Transformation in Russia

2005 ◽  
pp. 72-89 ◽  
Author(s):  
Ya. Pappe ◽  
Ya. Galukhina
Keyword(s):  
Financial Market ◽  
Capital Market ◽  
Business Groups ◽  
External Factors ◽  
Big Business ◽  
Business Transformation ◽  
Global Standards ◽  
The World ◽  
Principal Subject

The paper is devoted to the role of the global financial market in the development of Russian big business. It proves that terms and standards posed by this market as well as opportunities it offers determine major changes in Russian big business in the last three years. The article examines why Russian companies go abroad to attract capital and provides data, which indicate the scope of this phenomenon. It stresses the effects of Russian big business’s interaction with the world capital market, including the modification of the principal subject of Russian big business from integrated business groups to companies and the changes in companies’ behavior: they gradually move away from the so-called Russian specifics and adopt global standards.

Russian Banking Sector under World Financial Market Uncertainty: Problems and Prospects

2008 ◽  
pp. 4-19 ◽  
Author(s):  
A. Ulyukaev ◽  
E. Danilova
Keyword(s):  
Emerging Markets ◽  
Financial Market ◽  
Banking Sector ◽  
Financial System ◽  
Local Market ◽  
Market Uncertainty ◽  
Balanced Growth ◽  
Banking Sector Development ◽  
The World ◽  
The Usa

The authors point out that the local market crisis - on the USA substandard loan market - has led to the uncertainty of the world financial market. It has caused the growing demand for liquidity in the framework of the world financial system. The Russian banking sector seems to be more stable under negative changes than banking systems of other emerging markets. At the same time one can assume that the crisis will become the factor of qualitative shift in the character of the Russian banking sector development - the shift from impetuous to more balanced growth.

The Spanish Translation of Les Leçons de chimie élémentaire: On the Legal Status of Translation and its Various Values

2019 ◽  
Vol 16 (2-3) ◽  
pp. 201-215
Author(s):  
Tania P. Hernández-Hernández
Keyword(s):  
Complex Network ◽  
Latin American ◽  
Legal System ◽  
Legal Status ◽  
Spanish Translation ◽  
Cultural Economic ◽  
Translation Rights ◽  
International Legal System ◽  
Latin American Countries ◽  
Legal Battle

Throughout the nineteenth century, European booksellers and publishers, mostly from France, England, Germany and Spain, produced textual materials in Europe and introduced them into Mexico and other Latin American countries. These transatlantic interchanges unfolded against the backdrop of the emergence of the international legal system to protect translation rights and required the involvement of a complex network of agents who carried with them publishing, translating and negotiating practices, in addition to books, pamphlets, prints and other goods. Tracing the trajectories of translated books and the socio-cultural, economic and legal forces shaping them, this article examines the legal battle over the translation and publishing rights of Les Leçons de chimie élémentaire, a chemistry book authored by Jean Girardin and translated and published in Spanish by Jean-Frédéric Rosa. Drawing on a socio-historical approach to translation, I argue that the arguments presented by both parties are indicative of the uncertainty surrounding the legal status of translated texts and of the different values then attributed to translation.

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