Showing posts with label panel data. Show all posts
Showing posts with label panel data. Show all posts

Wednesday, 16 February 2022

Measuring Technological Heterogeneity Across Industries | Chapter 08 | New Innovations in Economics, Business and Management Vol. 5

 The goal of this research is to use an econometric model that accounts for cross-section dependence and heterogeneity of production technology in a panel setting to calculate the value of capital per growth in the Turkish manufacturing industry from 1980 to 2011. Pesaran's common correlated effects (CCE) type estimator is used in this case. Individual industry regression results, according to the study's findings, reveal apparent technical heterogeneity across industries.


Author(S) Details

Arzu Alvan
Cyprus Science University, Ozanköy, Girne, Mersin 10, Türkiye.

View Book:- https://stm.bookpi.org/NIEBM-V5/article/view/5620

Friday, 10 December 2021

Determining the Effect of Managerial Overconfidence on Share Price: Evidence from Some FTSE / JSE Top 40 Index Companies | Chapter 5 | New Innovations in Economics, Business and Management Vol. 3

 Over the last two and a half decades, the discipline of corporate finance has seen major changes. Managers are occasionally irrational, according to a large body of study in economics, finance, and even psychology. Managers have been observed to make subjective decisions that may not necessarily follow established corporate finance norms, owing to specific behavioural biases. Overconfidence or optimism is one such behavioural impact. There is a scarcity of study on the impact of managerial overconfidence on the general movement of a company's share price through corporate investments.

By looking at the share prices of 10 businesses from the JSE/FTSE top 40 index, the current study attempted to close this gap. Estimate management overconfidence, define the relationship between managing overconfidence and firm size, estimate the influence of managerial overconfidence on corporate investments, and determine the effect of managerial overconfidence on share price were the goals of this study. The findings reveal the presence of managerial overconfidence as measured by a firm's investment-cash flow sensitivity. The fixed effects panel regression demonstrates that Tobin's Q, a proxy indicator of a firm's investment-cash flow sensitivity, has an impact on the stock price. When all other explanatory variables are held constant, an increase in Tobin's Q leads the stock price to rise, implying that managerial overconfidence has an impact on the stock price. Furthermore, it has been discovered that managerial overconfidence rises with the size of the company. The small but positive association between the Q ratio and LnTA, as well as the Q ratio and sales, demonstrates this.

Author(S) Details

Emmanuel Lawa
Durban University of Technology, South Africa.

Luther-King Junior Zogli
Durban University of Technology, South Africa.

Bongani Innocent Dlamini
Durban University of Technology, South Africa.

View Book:- https://stm.bookpi.org/NIEBM-V3/article/view/5074

Wednesday, 15 September 2021

Investigating the Determinants of Bank Performance in South Africa: A Panel Data Analysis | Chapter 2 | Modern Perspectives in Economics, Business and Management Vol. 8

According to the World Bank's 2017 first quarter report, South Africa has the largest economy in Africa and ranks 32nd in the world in terms of Gross Domestic Product (GDP). Previous economic disasters, such as the global financial crisis of 2008, the insolvency of all Cyprus banks in 2013, and Standard & Poor's (S&P) downgrading of South African banks to junk status in 2017, have driven the need for banks to be more strictly regulated. Using a panel of selected banks representing roughly 80% of total bank assets in South Africa, the major purpose of this research was to investigate the determinants of bank performance in the context of bank-specific variables, industry-related factors, and macroeconomic effects. According to the conclusions of the study, which used random effects panel data analysis, non-performing loans, capital adequacy, and GDP market price are the key drivers of bank performance in South Africa. The advancement of South Africa's financial system necessitates proper control of these elements. The findings suggest that the strength of the economy influences bank profitability in South Africa, and that bank ROA influences economic growth as measured by the country's GDP.

Author (S) Details

Emmanuel Lawa
Department of Applied Management, Durban University of Technology, Pietermaritzburg, South Africa.

Luther-King Junior Zogli
Department of Applied Management, Durban University of Technology, Pietermaritzburg, South Africa.

Bongani Innocent Dlamini
Department of Applied Management, Durban University of Technology, Pietermaritzburg, South Africa.

View Book :- https://stm.bookpi.org/MPEBM-V8/article/view/3646

Saturday, 10 July 2021

Econometrics Panel Data and Dea in Practice Guide | Book Publisher International

 This text book is designed to address the basic econometrics demands of master's and graduate students in economics, finance, and other social sciences, as well as other advanced scholars in the field of social science and science. Non-statistical research professionals will find the statistical and mathematical applications used to be relatively difficult to understand. The author elucidates local study areas, with specific examples drawn from earlier studies in the areas of auditing, savings and credit cooperative societies, and Tropics County Government activities. The use of empirical approaches such as non-parametric and parametric analysis, as well as data envelopment analysis in Stata software, is heavily emphasised in making sense of the data obtained. The Gauss Markov theorem, functional forms, vector error correction models, time series analysis, unit root tests, panel data models, data envelopment analysis (DEA), and structural equation modelling are among the specific subjects discussed. The book also contains a wealth of inefficiency and efficiency measurement routines in Stata utilising the DEA technique. The cited illustrations in the text book primarily involve author research in the areas of auditing services and front-office banking services in savings and credit cooperative societies (Saccos), as well as efficiency measurement targeting County Governments departments' operations with a specific sample drawn from the Tropics of Kenya. The use of DEA to measure efficiency in departments like as schools, hospitals, corporations, and universities, among others, is a serious replacement for the time-honored and subjective balanced score card approach often used in enterprises. When it comes to structural equation modelling (SEM), a modern topic of study in the field of econometrics, researchers and students can rely on this book. The application of panel data is briefly explored in this guide book.


Author(s) Details

Leonard R. Lari
KCA University, Kenya. and Moi University, Kenya.

View Book:- https://stm.bookpi.org/EPDDPG/article/view/2130

Monday, 3 May 2021

Study on Corporate Social Responsibility and Financial Performance: The Spanish Case | Chapter 2 | New Horizons in Education and Social Studies Vol. 11

 This research is conducted against the backdrop of the burgeoning interest in Corporate Social Responsibility (CSR) among academics and business leaders. Its aim is to look into the connection between corporate social responsibility and financial performance, as there is some debate in the literature on the subject. The research focuses on a subset of Spanish companies from the IBEX 35 stock market index, and it employs panel data methodology, which has advantages over other methodologies. The study was carried out between 2003 and 2010, so it is up to date. The findings indicate that, at least in Spain, there is no clear connection between corporate social responsibility and financial performance.

Author (s) Details

Cristina Madorrán
Universidad Pública de Navarra, Departamento de Gestión de Empresas – Navarra, Spain

Teresa Garcia
Universidad Pública de Navarra, Departamento de Gestión de Empresas – Navarra, Spain

View Book :- https://stm.bookpi.org/NHESS-V11/article/view/765