scholarly journals Research on the Stock Correlation Network Entropy and Its Influencing Factors in the Chinese Interbank Market

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qiao Jiang ◽  
Qianting Ma ◽  
Xiaoxing Liu
Keyword(s):  
Influencing Factors ◽  
Correlation Network ◽  
Evolution Process ◽  
Dynamic Evolution ◽  
Interbank Market ◽  
Entropy Model ◽  
Depth Analysis ◽  
Bank Stock ◽  
The Stability ◽  
Network Entropy

The stability of the interbank market is an essential guarantee for the sustainable development of society. Network entropy theory provides a critical research paradigm for the study of the stability of the interbank market. Considering that few scholars have conducted in-depth analysis on the influencing factors of the network entropy’s evolution process, this paper constructs the stock correlation network entropy model in the Chinese interbank market based on the correlation of stock price fluctuation. It focuses on analyzing the influencing factors in the dynamic evolution process of the stock correlation network entropy. In the light of empirical research, we can obtain the following results. First, the interbank market network’s aggregation coefficient, the interbank market network’s centrality, and the bank stock’s return rate play a positive role in the dynamic evolution of stock correlation network entropy in the Chinese interbank market. Second, the bank stock return’s volatility is negatively correlated with its network entropy. To maintain the stability of the financial market, the supervision department can monitor the stability of the interbank market by constructing the stock correlation network entropy.

The Stability of Potassium Ferrate in Water

2014 ◽  
Vol 881-883 ◽  
pp. 215-218
Author(s):  
Kai Luo ◽  
Gang Cao ◽  
Ming Yu Li ◽  
Gang Ren
Keyword(s):  
Influencing Factors ◽  
Potassium Ferrate ◽  
The Stability

The influencing factors of the stability for the potassium ferrate (K2FeO4), including pH, alkalinity, O3, KI, KClO3, KCl, NaClO3and Na2SiO3, were studied in this work. The results showed that the K2FeO4stability in water is best at about pH=10. The higher the alkalinity is, the stronger of K2FeO4stability would be. The O3had no effect to improve the K2FeO4stability. The K2FeO4stability would be best in water with 15mmol/L NaClO3, 10mmol/L Na2SiO3and 9mol/L alkalinity. Under this condition, the K2FeO4content would be 83.28% after 24h.

scholarly journals Research on the influencing factors of family firm innovation

2021 ◽  
Vol 235 ◽  
pp. 02017
Author(s):  
Yingrui Liu
Keyword(s):  
Influencing Factors ◽  
Family Involvement ◽  
Family Business ◽  
External Environment ◽  
Family Firm ◽  
Economic Activities ◽  
Firm Innovation ◽  
Strategic Focus ◽  
The Stability ◽  
Innovation Behavior

Family business plays an important role in the world’s economic activities, and has made great contributions to the stability and development of the economy of various countries. Innovation is an important but inexplicable part of the strategic focus of family business. Based on the existing literature, this paper discusses the factors that influence the innovation behavior of enterprises from the perspective of family involvement and external environment.

scholarly journals How to Promote Compliance Management in the Electricity Market? An Analysis Based on the Evolutionary Game Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Luosong Jin ◽  
Cheng Chen ◽  
Yun Li ◽  
Xiangyang Wang ◽  
Yuanyuan Cheng
Keyword(s):  
Electricity Market ◽  
Evolutionary Game ◽  
Evolution Process ◽  
Regulatory Agencies ◽  
Dynamic Evolution ◽  
Model Parameters ◽  
Game Model ◽  
Compliance Cost ◽  
Compliance Management ◽  
The Government

In this paper, we aim to analyze how to effectively promote compliance management in the electricity market. We construct an evolutionary game model under the two different scenarios, i.e., the scenario without governmental supervision and the scenario with governmental supervision, and explicitly describes the strategic behaviors and dynamic evolution process of power enterprises and regulators in the power market. According to the results of the evolutionary stable strategy, we find that, in the absence of governmental supervision, the long-term stable equilibrium of power enterprises' choice of strategy “Compliance” and regulatory agencies' choice of strategy “Not bribery” is hard to be realized. Only if the government effectively supervises the compliance management of the electricity market can the ideal compliance behavior of the two stakeholders be achieved. Furthermore, we conduct a simulation study to analyze the impacts of the various model parameters on the dynamic evolution process. The specific results show that the lower compliance cost, the higher psychological cost, and the larger profit loss of the power enterprises, as well as the lower inspection cost, the higher psychological cost, and the larger rewards of the regulatory agencies, can promote the formation of compliance management. Besides, the larger penalty charged by the government is also conducive to the compliance management of the electricity market.

Technology Adoption

2021 ◽  
pp. 96-119
Author(s):  
Saeed Alzahrani ◽  
Tugrul U. Daim
Keyword(s):  
Technology Adoption ◽  
Influencing Factors ◽  
Consumer Attitudes ◽  
Adoption Decision ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Depth Analysis ◽  
Hierarchical Decision ◽  
New Form ◽  
Hierarchical Decision Model

Cryptocurrency has emerged in recent years as a new form of money. With the wave of cryptocurrency developments and wild attention, it is essential to understand consumer attitudes toward the adoption of the cryptocurrency and the factors influencing their decisions. Thus, the chapter aims to fill a gap in the current literature by examining the factors that influence the user's intention to adopt cryptocurrency. This adoption is a purchasing decision where users make a decision based on a set of factors that matters to them. This chapter uses a hierarchical decision model (HDM) to understand the user decision to adopt cryptocurrency. The model proposes four main perspectives that influence the adoption decision: economic, technical, social, and personal. This study aims at providing an in-depth analysis of the factors influencing the adoption of cryptocurrency as well as the ranking of these influencing factors based on the quantification of the users' judgments.

A Software Evolution Process Model under the Circumstances of Cloud Computing

2011 ◽  
Vol 55-57 ◽  
pp. 1370-1375 ◽  
Author(s):  
Jian Wang ◽  
Na Zhao ◽  
Jin Guo You ◽  
Ling Yu Li ◽  
Lei Zhao
Keyword(s):  
Cloud Computing ◽  
Process Model ◽  
Software Evolution ◽  
Software Process ◽  
Evolution Process ◽  
Wide Spread ◽  
Realistic Case ◽  
Independent Functions ◽  
Depth Analysis ◽  
Computing Environments

With the wide spread of cloud computing technologies, we assume that increasing amount of attentions will be given to the area of software evolution processes in the context of cloud computing environments. Some major problems we are here facing now include: What kind of process a software evolution model under the circumstances of cloud computing must possess? What properties a software process must have as an attribute in order to effectively support the software evolution? How to modeling a process in the context of software evolution? While aiming to solve these mentioned problems, we focused our research on establishing a software evolution process model with independent functions as a component. In this article, the detailed discussion of our thoughts has been given and the in-depth analysis of our model is shown. Through a realistic case to which this model is applied, we concluded that our model provided the software evolution process with an effective support under the circumstances of cloud computing.

scholarly journals Static and dynamic networks in interbank markets

2015 ◽  
Vol 3 (1) ◽  
pp. 98-123 ◽  
Author(s):  
ETHAN COHEN-COLE ◽  
ELEONORA PATACCHINI ◽  
YVES ZENOU
Keyword(s):  
Strategic Behavior ◽  
Network Formation ◽  
Dynamic Networks ◽  
Interbank Market ◽  
Strategic Game ◽  
Bank Profitability ◽  
Interbank Markets ◽  
Lending Decisions ◽  
The Stability

AbstractThis paper proposes a model of network interactions in the interbank market. Our innovation is to model systemic risk in the interbank network as the propagation of incentives or strategic behavior rather than the propagation of losses after default. Transmission in our model is not based on default. Instead, we explain bank profitability based on competition incentives and the outcome of a strategic game. As competitors' lending decisions change, banks adjust their own decisions as a result: generating a “transmission” of shocks through the system. We provide a unique equilibrium characterization of a static model, and embed this model into a full dynamic model of network formation. We also determine the key bank, which is the bank that is crucial for the stability of the financial network.

The Influencing Factors’ Identification and Analysis of Rockfill Dam Slope’s Stability in Tailing Pond Based on RS and PCA

2015 ◽  
Vol 724 ◽  
pp. 144-147
Author(s):  
Fu Liang Jiang ◽  
Zeng Guang Yang ◽  
Guo Hui Li ◽  
Sheng Yang Feng ◽  
Bo Lei
Keyword(s):  
Influencing Factors ◽  
Rough Set Theory ◽  
Slope Angle ◽  
Principal Component ◽  
Tailing Pond ◽  
Affecting Factors ◽  
Angle Of Internal Friction ◽  
Rock Density ◽  
Rockfill Dam ◽  
The Stability

In order to intensively study the stability influencing factors of rockfill dam slope in tailing pond, it was simplified to the common rock slope. And the data of 45 groups of circular failure slope was collected, based on the discrete normalization, the condition attributes of influencing stability were reduced by Rough Set theory (RS), at the same time, the stability influencing factors were simplified by Principal Component Analysis (PCA). Combining the two results through the above two methods, the main affecting factors of the rockfill dam slope’s stability are: rock density, slope angle and the angle of internal friction. The study conclusion can provide the decision-making basis for the rockfill dam design and safety management, and also be used as the foundation for other intelligent algorithm to predict the dam safety coefficient.

scholarly journals Analysis of Stability Factors of Roadway Roof and Determination of Unsupported Roof Distance

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Sen Yang ◽  
Xinzhu Hua ◽  
Xiao Liu ◽  
Chen Li
Keyword(s):  
Influencing Factors ◽  
Geological Conditions ◽  
Mine Roadway ◽  
Flac 3D ◽  
Roof Stability ◽  
Analysis Of Stability ◽  
The Stability ◽  
The Impact ◽  
The Relationship

To determine the impact of influencing factors on unsupported roof stability in coal mine roadway, a mechanical model of the unsupported roof was built. FLAC 3D numerical simulation was utilized to study the stability of the unsupported roof under the influence of the depth of the roadway, the thickness of the roof, and the unsupported-support distance. In view of the key influencing factors, the geological conditions of the site, and the relationship between the tensile stress and tensile strength of the unsupported roof, the maximum unsupported roof distance during roadway excavation was determined. Considering the surplus safety factor of the unsupported roof, the reasonable unsupported roof distance during the excavation of roadway 150802 was finally determined to be 2.08 m. The comprehensive roadway excavation speed increased by 62.7%, achieving a monthly progress over 500 m.

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