Yatırım ve Finansman Kararlarının Piyasa Değerine Etkisi (The Impact of Investment and Financing Decisions on Market Value in Turkey)

2017 ◽  
Author(s):  
Guler Aras ◽  
Ozlem KUTLU FURTUNA ◽  
Filiz Mutlu Yıldırım
2020 ◽  
Vol 11 (4) ◽  
pp. 231
Author(s):  
Abdullah Al Daas ◽  
Moid U. Ahmad ◽  
Suleiman Jamal Mohammad

Dividend decisions, Financing decisions and Investment decisions are three very imperative decisions taken by a firm. The effect of these decisions is on the performance of the firm which subsequently effects the valuation of the firm. These decisions in a firm are also influenced by the growth and status of the respective economy.The current research attempts to analyze the dynamics between these three major decision areas and also assess their relationship with the market value of the firm. These dynamics are further tested against the economic growth of the respective economy. Annual data for 50 companies from Jordanian economy for the time period 2007-2018 is used to achieve the objective. Basic and advanced statistical techniques such as regression analysis and Vector Auto Regression (VAR) have been used in the study. The sample involved 50 Jordanian companies.The study found that the value of the firm is affected by three key decisions (value drivers) of dividend, investment and financing and this effect is best measured at a lag of two years. Also the combined effect of the three value drivers is more than standalone effect.


2020 ◽  
Vol 39 (6) ◽  
pp. 8877-8886
Author(s):  
Jing Jing

The novel corona virus pneumonia has brought pressure on economic development. Large and medium-sized companies will also play a key role in the recovery of growth after the outbreak. Therefore, it is particularly important to pay attention to the impact of the epidemic on large and medium-sized companies and on the investment and financing of companies. Firstly, the structure of the network model of data analysis is designed in this paper, including the design of the network level, the selection of the number of neurons in each level, the determination of the initial weight and other related parameters. According to the design of network structure, the evaluation model of investment and financing of listed companies is established. Python is used to preprocess the data and train the sample data. By comparing the data processed by two training methods, the optimal network classification model is selected. The experimental results show that the proposed method can improve the effectiveness of investment and financing decisions of listed companies.


2018 ◽  
Vol 69 ◽  
pp. 169-180 ◽  
Author(s):  
Jean-Laurent Viviani ◽  
Anh-Ngoc Lai ◽  
Waël Louhichi

2002 ◽  
Vol 54 (1) ◽  
pp. 2-23 ◽  
Author(s):  
Ulrich Schreiber ◽  
Christoph Spengel ◽  
Lothar Lammersen

CFA Digest ◽  
2002 ◽  
Vol 32 (1) ◽  
pp. 89-90
Author(s):  
Frank T. Magiera

2020 ◽  
Vol 2020 (66) ◽  
pp. 65-85
Author(s):  
هيثم عبد النبي موسى ◽  
أ .د حيدر نعمة غالي الفريجي

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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