ÖRGÜTLERDE ÖRGÜTSEL BOLLUĞUN GİRİŞİMSEL ORYANTASYON ÜZERİNDEKİ ETKİSİ

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Nurdan Gürkan ◽  
Ahmet Ferda Çakmak
Keyword(s):  
Corporate Governance ◽  
Data Analysis ◽  
Panel Data ◽  
Strategic Management ◽  
Significant Relationship ◽  
Entrepreneurial Orientation ◽  
Panel Data Analysis ◽  
Organizational Slack ◽  
Analysis Method ◽  
The Relationship

The concept of entrepreneurial orientation, which emerges with the development of strategic management, refers to entrepreneurship orientations of businesses. The businesses need resources in other words organizational slack in order to develop their entrepreneurial trends. The organizational slack consists of three slack type. These slack types are available slack, recoverable slack and potential slack. The purpose of this study is to examine whether organizational slack in the businesses has an effect on entrepreneurial orientation. The relationship between organizational slack and entrepreneurial orientation was investigated through 20 companies that were traded in Borsa Istanbul Corporate Governance Index for 2010-2014 period using panel data analysis method. The results of the study indicate the existence of a statistically significant relationship between and the available slack and the recoverable slack with the entrepreneurial orientation in the businesses. According to findings; there was no statistically significant relationship between potential slack and entrepreneurial orientation.

scholarly journals Coronavirus (Covid-19) and Stock Market: Empirical Analysis with Panel Data Approach

2021 ◽  
Vol 13 (3) ◽  
pp. 31
Author(s):  
Emre Esat Topaloglu ◽  
Ilhan Ege ◽  
Erol Koycu
Keyword(s):  
United States ◽  
Data Analysis ◽  
Panel Data ◽  
Stock Market ◽  
Positive Relationship ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Analysis Method ◽  
Stock Indexes ◽  
The Relationship

In this study, the relationship between the pandemic and the stock market range of the dates 17-03-2020 and 14-04-2020, when the COVID-19 pandemic was most intense, was examined by panel data analysis method. In this study conducted for Turkey and Belgium, Germany, France, Italy, Spain, United Kingdom, United States, China and Netherland countries where the COVID-19 pandemic is most common, COVID-19 data is based on the total number of cases and the total number of deaths, while stock market data is based on important stock indexes of countries. The results of the study, while a negative relationship was found between total number of cases and the stock market, a positive relationship was found between total number of death and the stock market. This is an indication that market investors are closely monitoring the number of COVID-19 cases, and that the number of cases described significantly affects stock market investments.

scholarly journals Corporate Governance, Related Party Transactions and Firm Performance: A Panel Data Analysis

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Raj K Kovid ◽  
Sanjeev Dhar ◽  
Mridul Dharwal
Keyword(s):  
Corporate Governance ◽  
Data Analysis ◽  
Firm Performance ◽  
Panel Data ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Panel Regression ◽  
Related Party Transactions ◽  
Or Manager ◽  
The Relationship

Research on examining the relationship between the extent of related party transactions (RPTs) and the firm performance lack consensus. To further investigate this relationship, we use data of a sample of 483 Indian companies listed at National Stock Exchange (NSE) for the period 2013-2017. Based on analysis of data using panel regression, we observe that different forms of RPTs - income, expenses, borrowings and Loans, bank guarantee - do not lead to enhancement of the firm performance. However, the income from related parties are found to be negatively associated with firm performance. This is consistent with the hypothesis of principal-principal or manager conflict in corporate governance.

Is NPA and Stock Return Related: An Empirical Study of Back Testing Model

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Madhvi . ◽  
Amit Gautam ◽  
Amit Srivastava
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Price ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Share Price ◽  
Correlation Studies ◽  
Back Testing ◽  
Trading Model ◽  
The Relationship

This paper examines the relationship between NPA announcements by banks and the impulsive movement in stock price brought out by these announcements. Primary focus of this study is to determine whether we can create a swing trading model based on back testing the data for the banking stocks listed on the Indian bourses.To achieve this objective we created a databasespanning ten years (2006 to 2016) and collected the daily share prices of eight banks listed on Bombay Stock Exchange (BSE). The relationship between share price and changes in NPA is studied on the basis of correlation studies and panel-data analysis. Although correlation studies does not establish any significant relationship, but the result of panel-data analysis clearly shows a negative relationship between the two. The result is further utilized to develop swing trading model and get benefit out of it. The novelty of the present study is that it clearly guides the swing traders as to how to earn benefit because of fluctuations in share price due to announce of NPA result.

scholarly journals Corporate Governance Codes and Intellectual Capital: Evaluating the Performance Impacts among Government-Linked Companies in Malaysia and Singapore – A Panel Data Analysis

2021 ◽  
Vol 124 ◽  
pp. 08004
Author(s):  
Yen Wen Chang ◽  
Ng Ching Yat David ◽  
Suet Cheng Low ◽  
Peck Ling Tee
Keyword(s):  
Corporate Governance ◽  
Data Analysis ◽  
Panel Data ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Policy Makers ◽  
Corporate Governance Codes ◽  
The Government ◽  
The Impact

The objective of this study was to examine and compare the effects of corporate governance (CG) and intellectual capital (IC) between Malaysia Government-Linked Companies’ (M-GLCs) and Singapore Government-Linked Companies’ (S-GLCs) firm performance (FP). Panel data analysis was employed to analyse the impact of CG’s variables and IC’s variables on FP. FP was measured by Return on Total Assets (ROA), Tobin’s Q and Earnings Per Share (EPS). Data was gathered from the website of Bursa Malaysia and the Stock Exchange of Singapore from 2005 to 2018. The sample size of this research was 60 GLCs which comprised of 34 M-GLCs and 26 S-GLCs. There were a total 840 firm year observations. Results indicated that CGs of S-GLCs have greater impact on FP when compared to M-GLCs while the findings of the IC of M-GLCs have greater impact on FP compared to S-GLCs. This research was helpful in offering further insights of CG practices and IC efficiency to the Government, Board of Directors, policy makers, shareholders and stakeholders.

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