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1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi.

Year 2010, Volume: 3 Issue: 2, 119 - 134, 01.08.2010

Abstract

The ultimate purpose of this study is to investigate the validity of the expectation that risk of indices, as a proxy of portfolio risk, lower than individual risks of bank stocks based on the Markowitz Portfolio Theory in Turkish Banking Sector for the period 1997:04 – 2010:04. According to this ultimate purpose, first it is determined total risk and its systematic and unsystematic risk components of Banking Sector in Turkey using standard methods and time series analysis. Second it is compared to risk of indices lower than individual risks of bank stocks. Risks have been calculated by ARMA and ARCH type models based on time series analysis as well as standard risk measuring methods and results of the study have showed that in general unsystematic risk of individual stocks higher than systematic risk of these. Moreover at the end of study, it has found that total risk of indices is lower then total risk of individual stocks and systematic risk of indices is higher than unsystematic risks of them.

References

  • BEAVER, William, KETTLER, Paul, SCHOLES, Myron (1970), “The Association Between Market Determined and Accounting Determined Risk Measures”, The Accounting Review, 45, ss.654-682
  • BLUME, Marshall (1971), “On the Assessment of Risk,” Journal of Finance, 26, ss.1-10.
  • BLUME, Marshall (1975), “Betas and Their Regression Tendencies,” Journal of Finance, 30, ss.85-95.
  • BOLAK, Mehmet (1991), Sermaye Piyasası, Menkul Kıymetler ve Portföy Analizi, İstanbul.
  • BOLLERSLEV, Tim (1986) “Generalized Autoregressive Conditional Heteroskedasticity,” Journal of Econometrics, 31, ss. 307-327.
  • BOLLERSLEV, Tim, WOOLDRIDGE Jeffrey M. (1992), "Quasi-Maximum Likelihood Estimation and Inference in Dynamic Models with Time Varying Covariances," Econometric Reviews, 11, ss.143-172.
  • BROOKS, Chris (2008), Introductory Econometrics for Finance, 2.bs., The ICMA Centre, University of Reading, Cambridge Universty Press
  • CAMPBELL, John Y., LETTAU, Martin, MALKIEL, Burton G, XU, Yexiao (2001), “Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk”, Journal of Finance , 56, ss.1-43
  • COHEN, K. J. HAWAWİNİ G.A., MAJER, S. F., SCHWARTZ, R. A., WHİTCOMB, D. K. (1980), “Implications of Microstructure Theory for Empirical Research on Stock Price Behavior”, The Journal of Finance, 35(2), ss.249-257
  • DAMADORAN, Aswath (2002), Investment Valuation : Tools and Techniques for determining The Value of Any Asset, 2nd ed., John Wiley & Sons, New York, 2002.
  • DOĞUKANLI, Hatice, SONGÜL, Kakili Acaravcı, KANDIR, Serkan Yılmaz (2002), “ İMKB Mali Sektör Şirketleri’nin Sistematik ve Sistematik Olmayan Risklerinin İncelenmesi”, İMKB dergisi, 6(24), SS.1-15
  • DURNEY, A., MORCK, R. and YOUNG, B. ( 2000), “Does firm-specific information in stock prices guide capital allocation?”, Working paper.
  • DURNEY, A., MORCK, R., YOUNG, B. and ZAROWIN, P. ( 2003), “Does greater firmspecific return variation mean more or less informed stock pricing?” Journal of Accounting Research 41, ss.797–836.
  • ENGLE, Robert (1982) "For Methods of Analyzing Economic Time Series With TimeVarying Volatility (ARCH)".
  • GRIFFTHS, William E., HILL, R. Carter, LIM, Guay C. (2008), Using Eviews for Principles of Econometrics, 3rd ed., John Wiley&Sons Inc
  • GUJARATİ, Damador (1999), Temel Ekonometri, Çevirenler Ümit Şenesen, Gülay Günlük Şenesen, 1.bs, Literatür Yayınları, İstanbul
  • KADILAR, Cem (2005), SPSS Uygulamalı Zaman Serileri Analizine Giriş, Hacettepe Üniversitesi, Fen Fakültesi, İstatistik Bölümü, Ankara
  • LEVHARI, David, LEVY, Haim (1977), “The Capital Asset Pricing Model and the Investment Horizon”, The Review of Economics and Statistics, 59(1), ss. 92-104.
  • MERIKAS, Andreas G., MERIKA, Anna A. and KOUTROUBSIS, George, (2008), “Modelling the Investment Decision of the Entrepreneur in the Tanker Sector: Choosing Between a Second-Hand Vessel and a Newly Built One”, Maritime Policy Management, 35(5), ss.433-447.
  • MORCK, R., YEUNG, B. and Yu, W. (2000), “The information content of stock markets: Why do emerging markets have synchronous stock price movements? Journal of Financial Economics, 58, ss. 215–260.
  • ODABAŞI, Atilla (2003), “An Investigation of Beta Instability in the Istanbul Stock Exchange”, http://odabasi.boun.edu.tr/research/BetaInstability-ISE.pdf, Erişim Tarihi:15.02.2011.
  • ODABAŞI, Atilla (2004), “Sistematik Risk Tahmininde Getiri Aralığının Etkisi: İMKB’de bir Uygulama”, http://odabasi.boun.edu.tr/research/GetiriAralıgıEtkisi-UU.pdf, Erişim Tarihi: 15.02.2011.
  • ROENFELDT, Rodney L., GRIEPENTROG, Gary L., PFLAUM, Christopher C. (1978), “Further Evidence on the Stationarity of Beta Coefficients,” Journal of Financial and Quantitative Analysis,” March, ss.11-21.
  • ROSENBERG, Barr ve MCKIBBEN, Walt (1973), “The Prediction of Systematic and Specific Risk in Common Stocks”, The Journal of Fİnancial and Quanttitative Analysis, 8(2), ss.317-333
  • SARIKAMIŞ, Cevat (2000), Sermaye Pazarları, 4.bs., Alfa Yayınları.
  • SEVÜKTEKİN, Mustafa ve NARGELEÇENLER, Mehmet (2010), Ekonometrik Zaman Serileri Analizi-Eviews Uygulamalı, Nobel Yayın Dağıtım, Ankara
  • THEOBALD, Michael (1981), “Beta Stationarity and Estimation Period: Some Analytical Results”, The Journal of Financial and Quantitative Analysis, 16(5), ss.747-757.
  • VASICEK, Oldrich A. (1973), “A note on using cross-sectional information in Bayesian estimation of security betas”, Journal of Finance,28, ss.1233-1239.

1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi.

Year 2010, Volume: 3 Issue: 2, 119 - 134, 01.08.2010

Abstract

Bu çalışmanın temel amacı, Markowitz Portföy Teorisi’nin öngördüğü şekilde portföy riskinin, tek tek hisse senetlerinin risklerine göre daha az olması beklentisinin 1997:04 – 2010:04 dönemi Türk Bankacılık Sektörü için de geçerli olup olmadığını ortaya koymaktır. Bu temel amaç doğrultusunda ilk olarak Türk Bankacılık Sektörü’nün sahip olduğu toplam risklerin ve toplam riski oluşturan sistematik ve sistematik olmayan risk bileşenleri standart yöntemler ve zaman serisi modellerine dayanan yöntemlerle hesaplanmıştır. Daha sonra banka hisse senedi getirilerinin sahip olduğu risk ile bu hisse senetlerinden oluşan portföy niteliğindeki bankacılık sektörü endeks getirilerinin riski karşılaştırılmıştır. Klasik standart sapma ve varyans gibi ölçümler yanında, ARMA ve ARCH tipi modeller gibi zaman serisi analizlerine dayanan hesaplamalarla risk ölçümlerinin gerçekleştirildiği çalışmanın sonucunda tek hisse senetleri için, her iki yöntemle de hesaplanan sistematik olmayan risklerin genellikle sistematik risklerinden daha büyük olduğu bulunmuştur. Ayrıca, portföy niteliği taşıyan endeks getirilerinin toplam riskleri, tek tek hisse senetlerinin toplam risklerinden daha düşük olup, sistematik risklerinin, sistematik olmayan risklerinden daha yüksek olduğu tespit edilmiştir.

References

  • BEAVER, William, KETTLER, Paul, SCHOLES, Myron (1970), “The Association Between Market Determined and Accounting Determined Risk Measures”, The Accounting Review, 45, ss.654-682
  • BLUME, Marshall (1971), “On the Assessment of Risk,” Journal of Finance, 26, ss.1-10.
  • BLUME, Marshall (1975), “Betas and Their Regression Tendencies,” Journal of Finance, 30, ss.85-95.
  • BOLAK, Mehmet (1991), Sermaye Piyasası, Menkul Kıymetler ve Portföy Analizi, İstanbul.
  • BOLLERSLEV, Tim (1986) “Generalized Autoregressive Conditional Heteroskedasticity,” Journal of Econometrics, 31, ss. 307-327.
  • BOLLERSLEV, Tim, WOOLDRIDGE Jeffrey M. (1992), "Quasi-Maximum Likelihood Estimation and Inference in Dynamic Models with Time Varying Covariances," Econometric Reviews, 11, ss.143-172.
  • BROOKS, Chris (2008), Introductory Econometrics for Finance, 2.bs., The ICMA Centre, University of Reading, Cambridge Universty Press
  • CAMPBELL, John Y., LETTAU, Martin, MALKIEL, Burton G, XU, Yexiao (2001), “Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk”, Journal of Finance , 56, ss.1-43
  • COHEN, K. J. HAWAWİNİ G.A., MAJER, S. F., SCHWARTZ, R. A., WHİTCOMB, D. K. (1980), “Implications of Microstructure Theory for Empirical Research on Stock Price Behavior”, The Journal of Finance, 35(2), ss.249-257
  • DAMADORAN, Aswath (2002), Investment Valuation : Tools and Techniques for determining The Value of Any Asset, 2nd ed., John Wiley & Sons, New York, 2002.
  • DOĞUKANLI, Hatice, SONGÜL, Kakili Acaravcı, KANDIR, Serkan Yılmaz (2002), “ İMKB Mali Sektör Şirketleri’nin Sistematik ve Sistematik Olmayan Risklerinin İncelenmesi”, İMKB dergisi, 6(24), SS.1-15
  • DURNEY, A., MORCK, R. and YOUNG, B. ( 2000), “Does firm-specific information in stock prices guide capital allocation?”, Working paper.
  • DURNEY, A., MORCK, R., YOUNG, B. and ZAROWIN, P. ( 2003), “Does greater firmspecific return variation mean more or less informed stock pricing?” Journal of Accounting Research 41, ss.797–836.
  • ENGLE, Robert (1982) "For Methods of Analyzing Economic Time Series With TimeVarying Volatility (ARCH)".
  • GRIFFTHS, William E., HILL, R. Carter, LIM, Guay C. (2008), Using Eviews for Principles of Econometrics, 3rd ed., John Wiley&Sons Inc
  • GUJARATİ, Damador (1999), Temel Ekonometri, Çevirenler Ümit Şenesen, Gülay Günlük Şenesen, 1.bs, Literatür Yayınları, İstanbul
  • KADILAR, Cem (2005), SPSS Uygulamalı Zaman Serileri Analizine Giriş, Hacettepe Üniversitesi, Fen Fakültesi, İstatistik Bölümü, Ankara
  • LEVHARI, David, LEVY, Haim (1977), “The Capital Asset Pricing Model and the Investment Horizon”, The Review of Economics and Statistics, 59(1), ss. 92-104.
  • MERIKAS, Andreas G., MERIKA, Anna A. and KOUTROUBSIS, George, (2008), “Modelling the Investment Decision of the Entrepreneur in the Tanker Sector: Choosing Between a Second-Hand Vessel and a Newly Built One”, Maritime Policy Management, 35(5), ss.433-447.
  • MORCK, R., YEUNG, B. and Yu, W. (2000), “The information content of stock markets: Why do emerging markets have synchronous stock price movements? Journal of Financial Economics, 58, ss. 215–260.
  • ODABAŞI, Atilla (2003), “An Investigation of Beta Instability in the Istanbul Stock Exchange”, http://odabasi.boun.edu.tr/research/BetaInstability-ISE.pdf, Erişim Tarihi:15.02.2011.
  • ODABAŞI, Atilla (2004), “Sistematik Risk Tahmininde Getiri Aralığının Etkisi: İMKB’de bir Uygulama”, http://odabasi.boun.edu.tr/research/GetiriAralıgıEtkisi-UU.pdf, Erişim Tarihi: 15.02.2011.
  • ROENFELDT, Rodney L., GRIEPENTROG, Gary L., PFLAUM, Christopher C. (1978), “Further Evidence on the Stationarity of Beta Coefficients,” Journal of Financial and Quantitative Analysis,” March, ss.11-21.
  • ROSENBERG, Barr ve MCKIBBEN, Walt (1973), “The Prediction of Systematic and Specific Risk in Common Stocks”, The Journal of Fİnancial and Quanttitative Analysis, 8(2), ss.317-333
  • SARIKAMIŞ, Cevat (2000), Sermaye Pazarları, 4.bs., Alfa Yayınları.
  • SEVÜKTEKİN, Mustafa ve NARGELEÇENLER, Mehmet (2010), Ekonometrik Zaman Serileri Analizi-Eviews Uygulamalı, Nobel Yayın Dağıtım, Ankara
  • THEOBALD, Michael (1981), “Beta Stationarity and Estimation Period: Some Analytical Results”, The Journal of Financial and Quantitative Analysis, 16(5), ss.747-757.
  • VASICEK, Oldrich A. (1973), “A note on using cross-sectional information in Bayesian estimation of security betas”, Journal of Finance,28, ss.1233-1239.
There are 28 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Sinem Derindere Köseoğlu This is me

Publication Date August 1, 2010
Published in Issue Year 2010 Volume: 3 Issue: 2

Cite

APA Köseoğlu, S. D. (2010). 1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi. Niğde Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 3(2), 119-134.
AMA Köseoğlu SD. 1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi. Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. August 2010;3(2):119-134.
Chicago Köseoğlu, Sinem Derindere. “1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi”. Niğde Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 3, no. 2 (August 2010): 119-34.
EndNote Köseoğlu SD (August 1, 2010) 1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi. Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 3 2 119–134.
IEEE S. D. Köseoğlu, “1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi”., Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 3, no. 2, pp. 119–134, 2010.
ISNAD Köseoğlu, Sinem Derindere. “1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi”. Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 3/2 (August 2010), 119-134.
JAMA Köseoğlu SD. 1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi. Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2010;3:119–134.
MLA Köseoğlu, Sinem Derindere. “1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi”. Niğde Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, vol. 3, no. 2, 2010, pp. 119-34.
Vancouver Köseoğlu SD. 1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi. Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2010;3(2):119-34.