scholarly journals TOPOLOGICAL STRUCTURAL ANALYSIS OF CHINA'S NEW ENERGY STOCK MARKET: A MULTI-DIMENSIONAL DATA NETWORK PERSPECTIVE

2020 ◽  
Vol 26 (5) ◽  
pp. 1030-1051
Author(s):  
Kedong Yin ◽  
Zhe Liu ◽  
Chong Huang ◽  
Peide Liu
Keyword(s):  
Energy Storage ◽  
Stock Market ◽  
Topological Structure ◽  
Energy Production ◽  
Pearson Correlation ◽  
Stock Index ◽  
Scale Free ◽  
Network Connection ◽  
New Energy ◽  
Rv Coefficient

In this paper, we apply an RV coefficient network to investigate the topological structure of China’s new energy stock market via daily prices of 60 component stocks of CSI (China Stock Index) New Energy Index spanning the period January 4, 2012 to March 29, 2019. Compared with the Pearson correlation coefficient, RV coefficient can better reflect the similarity between stocks from the perspective of multi-dimensional data. The empirical result indicates that (1) the scale-free characteristics of China’s new energy stock market are not significant; (2) the new energy storage is the leading sub-sector of the new energy sector and the new energy interactive equipment plays a connecting role between renewable energy production and new energy storage; (3) the most influential stock in the network is Group DMEGC Magnetics Co., Ltd., Xiamen Tungsten Co., Ltd. and GEM Co., Ltd. play an important role in the network connection. These findings are of great significance to understand the interaction between Chinese new energy stocks and the pricing mechanism of stocks. The authority should pay more attention to the new energy storage industry. Investor’s portfolios can be optimized according to the influence assessment of stocks and sub-sectors.

scholarly journals The Stock Market Situation and Economic Growth – An Attempt to Assess the Dependence

2021 ◽  
Vol 4 (32) ◽  
pp. 117-128
Author(s):  
Michał Radke
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Pearson Correlation ◽  
Research Work ◽  
Calculated Data ◽  
Stock Index ◽  
Rate Of Return ◽  
Real Economy ◽  
Stock Market Index ◽  
Market Situation

The aim of the article: The main aim of the article is to analyze the relationship between the stock market situation and the real economy, measured by the strength of the correlation between the rate of return on the stock market and the rate of GDP growth in European capital markets. The next objective is to answer the question whether the stock market index changes are ahead of, and if so, by how much, GDP changes. The author’s hypothesis stipulates that the stock exchange situation precedes the change in economic activity and serves as its forecast. Methodology: The empirical research work was carried out on the basis of quarterly data value of the stock index and the GDP between 2010 and the first quarter of 2021 for 20 European countries. For indices and GDP, the quarterly dynamics of the rate of return and GDP were calculated. Data on the value of the stock exchange index was taken from the website www.stooq.pl, while data on GDP was taken from Eurostat. Subsequently, the analysis concerned the correlation relationships between the variables on the basis of the Pearson correlation coefficient. The correlation between the variables was calculated without delay, as well as with a delay of one, two or three quarters of the returns on stock indices. Results of the research: Changes in the value of the stock exchange index is in most cases positively correlated with the change in GDP and the correlation is pronounced, but it is low and moderate. The only market for which a significant correlation was observed, was the Polish market. At the same time, it can be stated that the rates of return on the stock exchange index precede a change in GDP by one or three quarters. No changes were observed for the analyzed countries for two quarters.

scholarly journals The necessity of storage technology development for unpredictable energy sources

2021 ◽  
Vol 342 ◽  
pp. 04009
Author(s):  
Maria Daniela Stochitoiu ◽  
Ilie Utu ◽  
Leon Pana
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy Production ◽  
Technology Development ◽  
Storage Systems ◽  
Energy System ◽  
Energy Sources ◽  
Renewable Sources ◽  
Storage Technology ◽  
New Energy

The renewable energy is more and more used and represents a higher and higher percentage in the world’s total energy production. The reliability of the renewable sources proves to be less predictable than the conventional ones. The need of new energy storage systems becomes imperative, and when used altogether with renewable sources, they improve the predictability of those sources, thus making possible their use in the energy system market.

META-ANALYSIS ON AMERICAN PRESIDENTIAL ELECTION - 2016 AND AMERICAN STOCK MARKET

2020 ◽  
Vol 38 (1) ◽  
Author(s):  
Farhan Ahmed ◽  
Salman Bahoo ◽  
Sohail Aslam ◽  
Muhammad Asif Qureshi
Keyword(s):  
Content Analysis ◽  
Stock Market ◽  
Event Study ◽  
Presidential Election ◽  
Republican Party ◽  
Stock Exchange ◽  
Meta Analysis ◽  
Composite Index ◽  
Stock Index ◽  
Political Event

This paper aims to analyze the efficient stock market hypothesis as responsive to American Presidential Election, 2016. The meta-analysis has been done combining content analysis and event study methodology. The all major newspapers, news channels, public polls, literature and five important indices as Dow Jones Industrial Average (DJIA), NASDAQ Stock Market Composit Indexe (NASDAQ-COMP), Standard & Poor's 500 Index (SPX-500), New York Stock Exchange Composite Index (NYSE-COMP) and Other U.S Indexes-Russell 2000 (RUT-2000) are critically examined and empirically analyzed. The findings from content analysis reflect that stunned winning of Mr Trump from Republican Party worked as shock for American stock market. From event study, findings confirmed that all the major indices reflected a decline on winning of Trump and losing of Ms. Clinton from Democratic. The results are supported empirically and practically through the political event like BREXIT that resulted in shock to Global stock index and loss of $2 Trillion.

Nonlinear modeling and simulation of flywheel energy storage rotor system with looseness and rub-impact coupling hitch

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zhu Youfeng ◽  
Liu Xinhua ◽  
Wang Qiang ◽  
Wang Zibo ◽  
Zang Hongyu
Keyword(s):  
Energy Storage ◽  
Differential Equations ◽  
Nonlinear Modeling ◽  
Storage System ◽  
Energy Storage System ◽  
Rotor System ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System ◽  
New Energy ◽  
Single Disk

Abstract Flywheel energy storage system as a new energy source is widely studied. This paper establishes a dynamic model of a single disk looseness and rub-impact coupling hitch flywheel energy storage rotor system firstly. Then dynamic differential equations of the system under the condition of nonlinear oil film force of the sliding bearing are given. Runge–Kutta method is used to solve the simplified dimensionless differential equations. The effect of variable parameters such as disk eccentricity, stator stiffness and bearing support mass on the system are analyzed. With the increase of eccentricity, the range of period-three motion is significantly reduced and the range of chaotic motion begins to appear in the bifurcation diagram. Meanwhile, stiffness of the stator and mass of the bearing support have a significant influence on the flywheel energy storage rotor system.

scholarly journals A Predictive Control Strategy for Energy Management in Micro-Grid Systems

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1666
Author(s):  
Abdellatif Elmouatamid ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Najib El kamoun ◽  
Khalid Zine-Dine
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Predictive Control ◽  
Energy Production ◽  
Storage Systems ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Energy Storage Systems ◽  
Control Approach ◽  
Variable Nature

The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the variable nature of RESs and the limited size of energy storage systems require the deployment of adaptive control strategies for efficient energy balance. In this paper, a generalized predictive control (GPC) strategy is introduced for energy management (EM) in MG systems. Its main objective is to efficiently connect the electricity generators and consumers in order to predict the most suitable actions for energy flow management. In fact, based on energy production and consumption profiles as well as the availability of energy storage systems, the proposed EM will be able to select the best suitable energy source for supplying the building’s loads. It will efficiently manage the usage of energy storage and the utility grid while maximizing RESs power generation. Simulations have been conducted, using real-sitting scenarios, and results are presented to validate the proposed predictive control approach by showing its effectiveness for MG systems control.

Investigation on NiWO4/PANI Composite as Electrode Material for Energy Storage Devices

2021 ◽  
Author(s):  
S. Rajkumar ◽  
S Gowri ◽  
S Dhineshkumar ◽  
Princy Merlin Johnson ◽  
Anandaraj Sathiyan
Keyword(s):  
Energy Storage ◽  
Electrode Material ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Energy Storage Materials ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Pani Composite ◽  
New Energy ◽  
Inorganic Components

With the fast exhaustion of fossil fuels, the need for new energy storage materials to meet the world's massive energy demand has inclined tremendously. Inorganic components with conducting polymer based...

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