Journals / BDDK Bankacılık ve Finansal Piyasalar Dergisi / 2011 / Cilt: 5 - Sayı: 2

Impact of Firm Attributes on the Efficiency of Brokerage Houses

Aracı Kurum Firma Özelliklerinin Etkinlik Üzerindeki Etkisi

Pages
159–181
Publication Date
2011-12-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that several firm attributes have impact on efficiency.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Financial markets exist in order to bring together buyers and sellers of securities.
📊
Key Findings & Data:Financial intermediaries, also known as financial institutions play an important role in financial markets.
💡
Conclusion & Impact:The results show that several firm attributes have impact on efficiency.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Etkinlik · Aracı Kurumlar · Stochastic Frontier SFA

Abstract

Financial markets exist in order to bring together buyers and sellers of securities. Financial intermediaries, also known as financial institutions play an important role in financial markets. The most important contribution of financial intermediaries is a steady and relatively inexpensive flow of funds from savers to final users or investors. Thus efficiency of financial intermediaries is of importance for efficient markets. Brokerage houses efficiency is closely related to efficiency of financial markets due to the transaction costs and speed of transacting. This study analyzes the factors influencing the efficiency of brokerage houses by using Stochastic Frontier Analysis SFA . The results show that several firm attributes have impact on efficiency. The results indicate that age of brokerage houses and numbers of employees have positive impact on efficiency, however, other firm attributes such as number of branches, firm size, financial leverage, and service ratio Stock transactions/Total transaction have negative impact on efficiency of brokerage houses

Özet

Finansal piyasalar, menkul kıymet alım ve satımını yapanları bir araya getiren piyasalardır. Finansal kurumlar olarak da sınıflandırılan finansal aracılar finansal piyasalarda önemli rol oynarlar. Finansal aracıların en önemli katkısı fonların tasarruf sahiplerinden fon talep edenlere göreli olarak ucuza aktarmasıdır. Dolayısıyla, aracı kurumların etkinliği işlem maliyetleri ve hızı açısından değerlendirildiğinde finansal piyasaların etkinliğiyle yakından ilgilidir. Bu çalışma da, aracı kurumların etkinliğini etkileyen faktörler Stochastic Frontier Analizi SFA kullanılarak irdelenmektedir. Sonuçlar bazı aracı kurum özellikleri etkinliği etkilediğini göstermektedir. Sonuçlara göre ; aracı kurumun yaşı ve çalışan sayısı etkinlik üzerinde olumlu etkiye sahip iken, şube sayısı, aracı kurum büyüklüğü, finansal kaldıraç ve hizmet rasyosu Hisse senedi işlem büyüklüğü/Toplam işlem büyüklüğü olumsuz etkiye sahip olduğunu ortaya koymaktadır.

🔖

Cite This Article

AYGÖREN, H., YEŞİLYURT, M. E. (2011). Impact of Firm Attributes on the Efficiency of Brokerage Houses. BDDK Bankacılık ve Finansal Piyasalar Dergisi, Cilt: 5 - Sayı: 2, 159–181. https://ajindex.com/articles/473874

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Aigner, D. Lovell, C.A.K. and Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models, Journal of Econometrics, pp. 21-37
  2. Aktaş, H. and M., Kargın,(2007). Türk Sermaye Piyasasındaki Aracı Kurumların Etkinliği ve Verimliliği, İşletme Finans Dergisi, 258, pp.97-117
  3. Aktaş, H., (1999), Türk Bankacılık Sektöründe Verimlilik: Kamu ve Özel Bankaların Karşılaştırılması, Yöneylem Araştırması ve Endüstri Mühendisliği 20. Ulusal Kongresi, 8-9 Haziran, Kara Harp Okulu, Ankara
  4. Avkiran, N.K., (1999). The Evidence On Efficiency Gains: The Role Of Mergers and the Benefits to the Public, Journal of Banking and Finance 23, pp. 991- 1013
  5. Battese, G.E. and Coelli, T.J. (1995). A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data, Empirical Economics 20, pp. 325-332
  6. Battese, G.E. and Corra, G.S. (1977). Estimation of a Production Frontier Model: With Application to the Pastoral Zone of Eastern Australia, Australian Journal of Agricultural Economics 21, pp. 169-179
  7. Berger, A.N. and D.B., Humphrey, (1997). Efficiency of Financial Institutions: International Survey and Directions for the Future Research, European Journal of Operational Research 98, pp. 175-212
  8. Berger, A.N. and Mester, L.J. (1997). Inside the Black Box: What Explains Differences with Efficiency of Financial Institutions? Journal of Banking and Finance 21. 895-947
  9. Brockett, P.L., W.W., Cooper, L.L., Golden, J.J., Rousseau, and Wang, Y., (2005). Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies, The Journal of Risk and Insurance 72, pp. 393-412
  10. Casu, B., and Girardone, C., (2009). Testing The Relationship Between Competition And Efficiency In Banking: A Panel Data Analysis, Economics Letters 105, 134-137
  11. Charnes, A., Cooper, W., and Rhodes, E. (1978). Measuring the Efficiency of Decision making Units. European Journal of Operational Research 2, 429-444
  12. Coelli, T. (1996). A Guide to FRONTIER Version 4.1: A Computer Program for Frotier Production Function Estimation, CEPA Working Paper 96/07, Department of Econometrics, University of New England, Armindale
  13. Coelli, T. J. (1992). A Computer Program for Frontier Production Function Estimation: FRONTIER, Version 2.0, Economic Letters 39, pp. 29-32
  14. Coelli, T.J.(1995). Recent Developments in Frontier Estimation and Efficiency M