Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Product diversification and profitability a case study: Vestel A.Ş.
Download
index.pdf
Date
2015
Author
Akgül, Banu
Metadata
Show full item record
Item Usage Stats
340
views
421
downloads
Cite This
The aim of this study is to examine the effect of diversification on the profitability of a firm. To this end, Vestel Co. is examined by conducting an econometric analysis with panel data gathered from different departments of the firm. Importance and the most significant contribution of this study to the literature is that it analyzes a single firm in contrast to the studies including lots of firms operating in the same sector; and this allows us to examine the effect of diversification over time, through the firm’s lifetime. Data used in this study have been compiled from different sources within Vestel: Budget and Planning, Research and Strategic Analysis, Finance, and Law Departments starting from the first quarter of 1994 to second quarter of 2014. As the results show, there exists u-shape relationship between diversification and the firm’s profitability; i.e., with an increase in the level of diversification profitability also increases in the long run in case of related diversification. Although, the effect of intangible assets is negative on profitability in the short-run, its effect reverse and turn to positive in the long run. The most important result of this study is that, with related diversification, the firm gains profitability and enjoys its intangible assets in the long run.
Subject Keywords
Panel analysis.
,
Costs, Industrial.
,
Product management.
,
Diversification in industry.
URI
http://etd.lib.metu.edu.tr/upload/12618659/index.pdf
https://hdl.handle.net/11511/24566
Collections
Graduate School of Social Sciences, Thesis
Suggestions
OpenMETU
Core
Do R& D expenditures matter for labor productivity in OECD countries? an unresolved question
Erdil, Erkan; Çorakcı, Ayşegül (2013-01-01)
The aim of this study is to analyze the relationship between labor productivity and R&D expenditures. We have tested this relationship using a panel of 22 OECD countries that covers the period 1991-2003. A Cobb-Douglas production function was estimated in growth form where physical capital, knowledge capital, human capital, and labor stock were included as the factors of production. The estimation results that also controlled for the effect of openness, and R&D spillovers implied a positive long-run R&D ela...
Margin call risk management with furures and options
Alıravcı, Murat; Duran, Sever; Tanrısever, Fehmi; Department of Industrial Engineering (2013)
This study examines dynamic hedge policy of a company in a multi-period framework. The company begins to operate a project for a customer and it also has a subcontractor which completes an important part of the project by using an economic commodity. The customer will pay a fixed price to the company at the end of the project. Meanwhile, the company needs to pay the debt to the subcontractor and the amount of the debt depends on the spot price of the commodity at that time. The company is allowed to hedge f...
Industry specific information content of financial ratios and financial distress modeling
Sayarı, Naz; Oran, Adil; Muğan, Fatma Naciye Can; Department of Business Administration (2013)
The aim of this study is to investigate uncertainty levels of industries and explore those financial ratios that have the highest information content in determining the set of industry characteristics and use the most informative ratios selected in developing industry specific financial distress models. First, we employ factor analysis to determine the set of ratios that are most informative in specified industries. Second, we use entropy method as a Multiple Attribute Decision Making Model, to measure the ...
Demand following or supply leading? A panel data analysis for developed, developing, and less developed countries
Akıncı, Gönül Yüce; Akıncı, Merter; Yılmaz, Ömer (Orta Doğu Teknik Üniversitesi (Ankara, Turkey), 2013-12-1)
In this paper, the linkages between financial development and economic growth in developed, developing and less developed countries are investigated using unbalanced panel cointegration and causality analysis in the period of 1980 – 2011. The results of the Pedroni cointegration analysis show the existence of cointegration relations between financial development and economic growth for whole country groups, but Kao cointegration analysis indicates the long – run relationship between the related variables fo...
Policy regime change and the Feldstein-Horioka puzzle: the UK evidence
Ozmen, E; Parmaksiz, K (2003-02-01)
This study investigates whether the Feldstein and Horioka [Econ. J. 90 (1980) 314.] argument on domestic saving-investment relationship may remain as a "puzzle" when an endogenous structural break corresponding to a major policy regime change is taken into account. To this end, we employ not only the conventional procedures developed for a data generation process without a break, but also some recent methods which allow stationarity around an endogenous break under the alternative hypothesis. The evidence b...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Akgül, “Product diversification and profitability a case study: Vestel A.Ş.,” M.S. - Master of Science, Middle East Technical University, 2015.
