scholarly journals Neural modelling of electricity prices quoted on the Day-Ahead Market of TGE S.A. shaped by environmental and economic factors

2021 ◽  
Author(s):  
Dariusz Ruciński
Keyword(s):  
Energy Demand ◽  
Evaluation Criteria ◽  
Weighted Average ◽  
Market Model ◽  
Coefficient Of Determination ◽  
Economic Factors ◽  
Weather Factors ◽  
Power Exchange ◽  
Number Of Factors ◽  
The Impact

The paper contains the results of research on the impact of the number of factors used to build the Day-Ahead Market model at Polish Power Exchange S.A. Five models with a different number of factors influencing the model were tested. To test the quality of models according to the adopted evaluation criteria, i.e., mean square error and the coefficient of determination for the weighted average prices sold in a given hour of the day, the influence of weather factors, socio-economic factors and energy demand were adopted. The results obtained from the analysis show a relatively high correctness of the simplest of the adopted models, which differs slightly from the best model.

An Event Study on the Effects of North Korea Risks on South Korea‘s Stock Market

2014 ◽  
Vol 22 (2) ◽  
pp. 251-284
Author(s):  
Inho Lee ◽  
Shiyong Yoo
Keyword(s):  
Stock Market ◽  
Event Study ◽  
North Korea ◽  
Weighted Average ◽  
Efficient Market Hypothesis ◽  
Economic Cooperation ◽  
Market Model ◽  
Substantial Impact ◽  
Significant Difference ◽  
The Impact

There have always been North Korea Risks in South Korea stock market since its opening. Some studies have concluded that it does not have a substantial impact on South Korea’s economy due to chronic geopolitical risks, while others have argued it has had an impact. However, in light of the Efficient Market Hypothesis (EMH) it can be argued that both opinions view that information about North Korea Risks affects stock markets and that stock prices react to it. This study analyzed the effects of North Korea Risks on South Korea’s stock market using event study methodology empirically, and it tested the semi-strong EMH-a market in which prices always fully reflect available information. The research results are following: First of all, North Korea Risks have an impact on South Korea’s stock market and the data was statistically significant. In particular, stock market already reflected information about the forewarned events like nuclear test. However, market also responded to information about sudden events such as the impact of Kim Jung-il’s death on the South-North economic cooperation stock. Portfolio analysis demonstrated that small capital stocks were affected more than large caps. These results cannot reject the EMH. Also, estimates of market model and that of Fama-French three-factor model did not show a statistically significant difference in different verification. There was no statistically significant difference between growth and value stock in large caps portfolio either. However, there was a statistically significant difference between defense stock and South-North economic cooperation stock, small caps and big caps, and weighted average and simple average. The significance of this study lies in that it conducted the event study by variety estimation model with objective standards for selecting events when measuring the effect of North Korea Risks.

scholarly journals Analysis of the Influence of Socio-Economic Factors on Occupational Safety in the Construction Industry

2019 ◽  
Vol 11 (16) ◽  
pp. 4469 ◽  
Author(s):  
Bożena Hoła ◽  
Tomasz Nowobilski
Keyword(s):  
Construction Industry ◽  
Mean Square Error ◽  
Occupational Safety ◽  
Coefficient Of Determination ◽  
Economic Factors ◽  
Mean Square ◽  
Construction Site ◽  
Generic Structure ◽  
The Impact ◽  
Socio Economic Factors

The purpose of the article was to identify the socio-economic factors generated in a construction environment, which affect the number of accidents at a construction site. Moreover, the objective was to construct a mathematical model that correlates selected factors with the number of employees injured in accidents at work at a construction site, and also to estimate the influence of the identified factors on the level of occupational safety. Based on the analysis of the literature, it was stated that there are no studies describing the impact of socio-economic factors on accident rates in construction. The research included 104 factors that characterize the production value, the potential of enterprises, the generic structure of entities, and also employment and its volatility in the construction industry. In order to solve the problem, multiple regression analysis, available in the Statistica software, was applied. The developed mathematical multifactor model reflects empirical values very well, which was confirmed by the values of multiple correlation coefficients, the coefficient of determination, the adjusted coefficient of determination, as well as the mean square error and root mean square error. The construction of the model does not include qualitative factors, e.g., factors that describe the level of safety culture in the society. The developed model was used to determine the number of people injured in accidents at work. The model has certain limitations regarding its applicability. The model was developed for four selected Polish voivodeships that have a similar level of economic development and occupational safety.

Toxic Political Leadership and the Problems of Professionals in Free State Municipalities

2019 ◽  
Vol 48 (1) ◽  
Author(s):  
David Matheakuena Mohale
Keyword(s):  
Good Governance ◽  
Political Leadership ◽  
Primary Source ◽  
Free State ◽  
Audit Report ◽  
Theoretical Understanding ◽  
Number Of Factors ◽  
Auditor General ◽  
Appointed Officials ◽  
The Impact

The 2016–17 Audit Report by the Auditor General points to the deterioration in audit results of South African municipalities. This deterioration confirms the perennial dysfunctionality of municipalities, at least from the governance perspective. Corporate governance is a function of leadership. Municipal councils are, therefore, responsible for the overall performance of municipalities they lead. Sound regulatory framework, good plans, clear strategies, policies, and systems are inadequate if not supported by highly gifted and ethical leadership. The Auditor General’s Audit Report suggests that local government struggles the most in the area of ethics. The Principal-Agent Theory argues that appointed officials are more likely to subvert the interests of an organisation. However, this article argues that the primary source of problems in municipalities is a combination of ineptitude and unethical political leadership taking root. This conclusion is based on the empirical comparative cases of eight municipalities in the Free State Province.  The conduct of councillors makes it difficult to attract and retain professionals in municipalities, resulting in notable deficiencies in the delivery of services. Essentially, councillors are the root cause for governance failure in municipalities arising from a number of factors. Findings in this study contribute towards the understanding of the impact of leadership in the failure of municipalities to meet good governance and developmental objectives. Further, they deepen the theoretical understanding of the political-administrative interface.

The Impact of Business Mentoring on Micro, Small, Medium Enterprises Performance

2017 ◽  
Vol 1 (1) ◽  
pp. 31-37
Author(s):  
Mohammad Adrian ◽  
Hendrati Dwi Mulyaningsih ◽  
Santi Rahmawati
Keyword(s):  
Quantitative Research ◽  
Causal Analysis ◽  
Coefficient Of Determination ◽  
Mentoring Program ◽  
Simple Regression Analysis ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
The Impact ◽  
Necessity Entrepreneur ◽  
Simple Regression

This reasearch is conducted on MMSME (Micro Small Medium Enterprises) that are participated in the MMSME Syari’ah Mentoring Program by Academicians and Practitioners (PUSPA) organized by Bank Indonesia in Bandung. MMSME who participated in PUSPA program 2016 is MMSME that included in necessity entrepreneur where MMSME operated just to fullfil the life necessities. The purpose of this reasearch was to investigate the influence of the business mentoring on the MMSME performance in PUSPA program 2016. Researcher used quantitative research method. Data were analyzed using simple regression analysis and descriptive-causal analysis. The result showed that business mentoring affect the performance of MMSME that participated in PUSPA Program 2016. Based on the calculation, coefficient of determination (R2) can be seen the influence of business mentoring variable (X) on the performance (Y) is 74%. While the remaining 26% is influenced by other factors such as entrepreneurship competence and human resources.

The Impact of Entrepreneurial Behavior on Sales Volume

2017 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Adjeng Tiara Eltari ◽  
Hendrati Dwi Mulyaningsih
Keyword(s):  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Sales Volume ◽  
Entrepreneurial Behavior ◽  
Street Vendors ◽  
Quantitative Research Methods ◽  
Entrepreneurial Behaviour ◽  
Full Calculation ◽  
Almost All ◽  
The Impact

This research was conducted at the Culinary Hawkers that located on Highway Sukapura, Dayeuhkolot, Bandung. This study examines the Entrepreneurial behaviour which resulted in increased sales volumes. Almost all Culinary Hawkers on Highway Sukapura doesn’t yet have the entrepreneurial behavior in accordance with the characteristics - traits mentioned by Suryana, Confident, Own initiative, Have achievement motive, Having leadership, and Dare to take risks with the full calculation. The purpose of this study was to investigate the influence of entrepreneurial behavior to the merchant's sales volume culinary pavement on Highway Sukapura, Dayeuhkolot, Bandung.Researchers used quantitative research methods. The population in this study was 63 Merchants Culinary Street on Highway Sukapura. Samples are 63 street vendors in JalanSukapura. Data were analyzed using simple regression analysis.The results showed that entrepreneurial behavior affect the sales volume of culinary street traders in Highway Sukapura. Based on the calculation coefficient of determination (R2) can be seen the effect of entrepreneurial behavior variables (X) on sales volume (Y) is approximately 94%. While the remaining 6% are influenced by other factors such as competence, performance, and motivation.

THE IMPACT OF BUSINESS MENTORING ON MICRO, SMALL, MEDIUM ENTERPRISES PERFORMANCE

2018 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Mohammad Adrian ◽  
Santi Rahmawati
Keyword(s):  
Research Method ◽  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Mentoring Program ◽  
Simple Regression Analysis ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
The Impact ◽  
Necessity Entrepreneur ◽  
Simple Regression

This reasearch is conducted on MSME (Micro Small Medium Enterprises) that are participated in the MSME Syari’ah Mentoring Program by Academition and Practitioners (PUSPA) organized by Bank Indonesia in Bandung. MSME who participated in PUSPA program 2016 is MSME that included in necessity entrepreneur where MSME operated just to fullfil the life necessities.The purpose of this reasearch was to investigate the influence of the business mentoring on the MSME performance in PUSPA program 2016.Researcher used quantitative research method. Data were analyzed using simple regression analysis and descriptive-causal analysis.The result showed that business mentoring affect the performance of MSME that participated in PUSPA Program 2016. Based on the calculation, coefficient of determination (R2) can be seen the influence of business mentoring variable (X) on the performance (Y) is 74%. While the remaining 26% is influenced by other factors such as entrepreneurship competence and human resources.  

تأثير الاستثمار الاجنبي المباشر في القيمة السوقية للشركة (دراسة تطبيقية في شركة بترو جانيا الصينية في عقود التراخيص النفطية للجولة الاولى والثانية في الحقول النفطية في العراق للمدة من 2017-2010)

2020 ◽  
Vol 2020 (66) ◽  
pp. 65-85
Author(s):  
هيثم عبد النبي موسى ◽  
أ .د حيدر نعمة غالي الفريجي
Keyword(s):  
Foreign Direct Investment ◽  
Stock Prices ◽  
Return On Investment ◽  
Direct Investment ◽  
Inverse Correlation ◽  
Market Value ◽  
Political Stability ◽  
Coefficient Of Determination ◽  
Independent Variable ◽  
The Impact

This study dealt with the effect of foreign direct investment on the market value of the company during the period of time (2010-2017). This issue was studied through a sample of oil fields in southern Iraq in which the company operates within the first and second licensing contracts rounds and according to the circumstances and variables of the investment environment as it is. Although this investment often achieves high returns, it is also characterized by a high degree of risk and for the purpose of evaluating the impact of foreign direct investment on the market value of the company's stock prices for the period (2010-2017). The statistical scale (T-TEST) was used to indicate the significance of the correlation hypotheses. Between the return on investment as the independent variable and the market value as the dependent variable, and the use of the coefficient of determination (R2) that measures the effect of the independent variable (foreign direct investment) on the dependent variable (market value) and the F-Test to demonstrate acceptance or rejection of the hypothesis of the return on investing in the market value of the oil company, and if the company achieves a high return in foreign direct investment, the market value of it will be affected positively. The study was based on a set of goals, including determining the attractiveness of Iraq to foreign investments, especially the oil sector, and the study reached a number of conclusions, the most prominent of which is the existence of a strong inverse correlation between the return on investment and the market value of the company. And the existence of a slight impact of the return on investment on the market value of the company, and the study reached a number of recommendations, the most important of which is activating the investment climate through political stability and the clarity and stability of laws and legislation regulating investment, which is one of the most important factors affecting the investment decision.

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