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BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ

Year 2018, Volume: 3 Issue: 1, 35 - 54, 31.08.2018
https://doi.org/10.21733/ibad.2167

Abstract

Bu çalışmada
çoklu  Student t  dağılımı varsayımı altında  üç değişkenli  AR(p)-DCC-GARCH (1,1)   modeli
kullanılarak iki  büyük ölçekli mevduat
bankasının zamanla değişen toplam riski sistematik ve sistematik olmayan risk
bileşenlerine ayrılmıştır. İlgili risk türlerinin zamanla değişip
değişmediği  Bai ve Perron’un (1998,
2003) çoklu yapısal kırılmalı  testi ile
incelenmiştir. Ayrıca, incelenen dönem içerisinde yer alması nedeniyle,   2000 Kasım ve 2001 Şubat  krizleri ile 2007-2008 küresel finans
krizinin ABD ve Avrupa merkezli dönemlerinin risk bileşenleri  üzerindeki 
etkileri de incelenmiştir. Çalışma bulguları ilgili risk bileşenlerinin
zamanla değiştiği ve toplam riskin önemli bir kısmının (%73-76) sistematik risk
bileşeninden kaynaklandığını göstermektedir. Ayrıca, ilgili  bankaların toplam, sistematik ve sistematik
olmayan risk düzeyleri üzerinde  en çok 2000
Kasım ve 2001 Şubat kriz döneminin etkili olduğu ardından ise 2007-2008 küresel
 finans  krizinin ABD merkezli döneminin geldiği
anlaşılmaktadır. 2007-2008 küresel finans krizinin Avrupa merkezli döneminin
ise  ilgili risk türleri üzerinde pek bir
etkisi olmadığı  ifade edilebilir.

References

  • Abell, J.D., Krueger, T.M. (1989). Macroeconomic Influences on Beta. Journal of Economics and Business, 41(2), 185-193.
  • Adam, T., Benecka, S., Jansky, I. (2012). Time-Varying Betas of Banking Sector. Czech Journal of Economics and Finance, 62, 485-501.
  • Adrian, T., Franzoni, F. (2004). Learning about Beta: A New Look at CAPM Tests. Staff Reports of Federal Reserve Bank of New York, No:193.
  • Akkaya, G.C., Güney,S., Mocan,S., Tezcan, Ö. (2012). Enerji ve Banka Sektörlerine ait Hisse Senetleri Üzerinde Risk Ayrıştırma Çalışması. Ekonomi ve Yönetim Araştırmaları Dergisi , 1(1), 9-24.
  • Aksu, D. (2016). İmalat Sektöründe Kur Riskinin Birincil ve İkincil Etkileri ve Kur Riskine Karşı Çözüm Önerileri. Muhasebe ve Finansman Dergisi, 71, 149-164.
  • Altınsoy, G. (2009). Time-Varying Beta Estimation for Turkish Real Estate Investment Trusts: An Analysis of Alternative Modeling Techniques. Unpublished Master thesis, Middle East Technical University, Ankara.
  • Altıntaş, M.A. (2006). Bankacılıkta Risk Yönetimi ve Sermaye Yeterliliği. Ankara: Turhan Kitapevi.
  • Andersen,T.G., Bollerslev,T., Diebold, F.X., Wu, J.G. (2005). A Framework for Exploring the Macroeconomic Determinants of Systematic Risk. National Bureau of Economic Research.
  • Ane, T. (2006). Analysis of the Flexibility of Asymmetric Power GARCH Models. Computational Statistics & Data Analysis, 51,1293–1311.
  • Ang, A., Hodrick, R. J., Xing, Y., Zhang, X. (2006). The Cross-Section of Volatility and Expected Returns. Journal of Finance, 51, 259–299.
  • Ang, A., Hodrick, R. J., Xing, Y., Zhang, X. (2009). High Idiosyncratic Volatility and Low Returns: International and further US Evidence. Journal of Financial Economics, 91, 1–23.
  • Aohna, T. (2010). Time-Varying Betas and the Athens Stock Exchange Market. Unpublished Master Thesis, University of Macedonia, Macedonia.
  • Bai, J., Perron, P. (1998). Estimating and Testing Linear Models with Multiple Structural Changes. Econometrica, 66, 47–78.
  • Bai, J., Perron, P. (2003). Computation and Analysis of Multiple Structural Change Models. Journal of Applied Econometrics, 18 , 1–22.
  • Başçı, E., Kara, H. (2011). Finansal İstikrar ve Para Politikası. İktisat, İşletme ve Finans Dergisi, 26 (302), 9-25.
  • Ben-Horim, M., Levy, H. (1980). Total Risk, Diversifiable Risk and Non-diversifiable Risk: A Pedagogic Note. Journal of Financial and Quantitative Analysis, 15(2).
  • Bessler, W., Kurmann,P., Nohel,T. (2015). Time-Varying Systematic and Idiosyncratic Risk Exposures of US Bank Holding Companies. Journal of International Financial Markets, Institutions & Money,35,45-68.
  • Bharati, R., Nanisetty, P., So, J. (2006). Dynamic Gap Transformations: Are Banks Asset Transformers or Brokers ? Or Both ?. The Quarterly Review of Economics and Finance, 46, 36–52.
  • Brooks, R.D., Shoung, L.C. . (2006). The Impact of Capital Controls on Malaysian Banking Industry Betas. Applied Financial Economics Letters, 2 (4), 247-249.
  • Campbell, J., Lettau, M., Malkiel, B., Xu, Y. (2001). Have Individual Stocks Become more Volatile? An Empirical Exploration of Idiosyncratic Risk. Journal of Finance, 56, 1–43.
  • Candan, H. & Özün, A. (2007). Bankalarda Risk Yönetimi ve Basel II. İstanbul: Türkiye İş Bankası Kültür Yayınları.
  • Caporale, T. (2012). Time-Varying CAPM Betas and Banking Sector Risk. Economics Letters, 115, 293–295
  • Celik, S. (2013). Testing the Stability of Beta: A Sectoral Analysis in Turkish Stock Market. Journal of Economics and Behavioral Studies, 5(1), 18-23.
  • Cheng, W. H., Hung, J.C .(2011). Skewness and Leptokurtosis in GARCH-Typed VaR Estimation of Petroleum and Metal Asset Returns. Journal of Empirical Finance, 18,160–173.
  • Choudhry, T., Lu, L., Peng, K. (2010). Time-Varying Beta and the Asain Financial Crisis: Evidence from the Asain Indutrial Sectors. Japan and the World Economy, 22, 228-234.
  • Ciner, C. (2015). Time Variation in Systematic Risk, Returns and Trading Volume: Evidence from Precious Metals Mining Stocks. International Review of Financial Analysis, 41, 277-283.
  • Cotter, J., Sullivan, N.O., Rossi, F. (2015). The Conditional Pricing of Systematic and Idiosyncratic Risk in the UK Equity Market. International Review of Financial Analysis 37, 184–193.
  • Czaja, M.G., Scholz, H., Wilkens, M. (2009). Interest Rate Risk of German Financial Institutions: The impact of Level, Slope, and Curvature of the Term Structure. Review of Quantitative Finance and Accounting, 33,1–26.
  • Dash, M. (2016). Testing the Stationarity of Beta for Banking Sector Stocks in Indian Stock Markets: Panel Regression Analysis. Skyline Business Journal, 11 (2), 53-60.
  • Dimitriou, D., Kenourgios, D., Simos,T. (2013). Global Financial Crisis and Emerging Stock Market Contagion: A Multivariate FIAPARCH-DCC Approach. International Review of Financial Analysis, 30, 46-56.
  • Eğilmez, M. (2009). İki Kriz İki Türkiye. [URL: http://www.radikal.com.tr/yazarlar/mahfi-egilmez/iki-kriz-iki-turkiye-940785/ ].
  • Eisenbeiss, M., Kauermann, G., Semmier, W. (2007). Estimating Beta-Coefficients of German Stock Data: A Non-Parametric Approach. The European Journal of Finance, 13 (6), 503-522.
  • Engle, R., Kroner, K. (1995). Multivariate Simultaneous Generalized ARCH. Econometric Theory, 11, 122-150.
  • Fabozzi, F.J., Francis, J.C. (1978). Beta as a Random Coefficient. Journal of Financial and Quantitative Analysis, 13, 101-115.
  • Faff, R., Brooks, R. (1998). Time-Varying Beta Risks for Australian Industry Portfolios: An Exploratory Anaysis. Journal of Business Finance & Accounting, 25, 721- 745.
  • Faff, R.W., Hiller, D., Hiller, J. (2000). Time Varying Beta Risk: An Analysis of Alternative Modelling Techniques. Journal of Business, Finance & Accounting, 27 (5), 523-537.
  • Fan, Y., Zhang, Y. J., Wei, Y.M (2008). Estimating ‘Value at Risk’ of Crude Oil Prices and its Spillover Effect Using the GED-GARCH Approach. Energy Economics ,30, 3156-3171.
  • Giannopoulos, K. (1995). Estimating the Time Varying Components of International Stock Markets’ Risk. The European Journal of Finance, 1(2), 129- 164.
  • Guo, H., Savickas, R. (2006). Idiosyncratic Volatility, Stock Market Volatility, and Expected Stock Returns. Journal of Business and Economic Statistics, 24, 43–56.
  • Huang, P., Hueng, C.J. (2008). Conditional Risk-Return Relationship in a Time-Varying Beta Model. Quantative Finance, 8 (4), 381-390.
  • Kara, A.H. (2012). Küresel Kriz Sonrası Para Politikası. İktisat, İşletme ve Finans Dergisi, 27, (315), 9-36.
  • Kurach, R., Stelmach, J. (2014). Time-Varying Behaviour of Sector Beta Risk –The Case of Poland. Romanian Journal of Economic Forecasting, 17 (1), 139-156.
  • Lettau, M., Ludvıgson, S. (2001). Resurrecting the CAPM: A Cross-Sectional Test When Risk Premia are Time-Varying. Journal of Political Economy, 109 (6),1238-1287.
  • Li , X., Miffre, J., Brooks,C., Sullivan, N.O. (2008). Momentum Profits and Time-Varying Unsystematic Risk. Journal of Banking & Finance, 32(4), 541-558.
  • Li, X., Brooks, C., Miffre, J. (2009). The Value Premium and Time-Varying Volatility. Journal of Business Finance and Accounting, 36, 1252–1272.
  • Liu J., Wu, S., Zidek J.V. (1997). On Segmented Multivariate Regressions. Statistica Sinica, 7, 497–525.
  • Madura, J. (1989). International Financial Management. Second edition, St.Paul, Minnesota: West Publishing Company.
  • Malkiel, B. G., Xu, Y. (1997). Risk and Return Revisited. Journal of Portfolio Management, 23, 9–14.
  • Mergner, S., Bulla, J. (2008). Time-Varying Beta Risk of Pan-European Industry Portfolios: A Comparison of Alternative Modeling Techniques. European Journal of Finance , 14 (8), 772-802.
  • Odabaşı, A. (2002). An Investigation of Beta Instability in Istanbul Stock Exchange. The Istanbul Stock Exchange Review, 6 (24), 15-32.
  • Omran, M.F. (2007). An Analysis of the Capital Asset Pricing Model in the Egyptian Stock Market. The Quarterly Review of Economics and Finance, 46, 801-812.
  • Papaioannou, M.(2006). Exchange Rate Risk Measurement and Management: Issues and Approaches for Firms. IMF Working Paper, No:255. https://www.imf.org/external/pubs/ ft/wp/ 2006/wp06255.pdf.
  • Simmons, K. & Robock, H.S. (1989). International Business and Multinational Enterprises. Richard D. Irwin Inc.: Homewood.
  • So, M.P., Yu, P.H. (2006). Empirical Analysis of GARCH Models in Value at Risk Estimation. Journal of International Financial Markets Institutions & Money,16,180–197.
  • Stracca, L. (2015). Our Currency, Your Problem? The Global Effects of the Euro Debt Crisis. European Economic Review, 74, 1–13.
  • Tang, G.Y.N., Shum, W.C.( 2003). The Relationships Between Unsystematic Risk, Skewness and Stock Returns During up and down Markets. International Business Review, 12(5),523-541.
  • Usta, Ö., Demireli, E. (2010). Risk Bileşenleri Analizi: İMKB’de Bir Uygulama. ZKÜ Sosyal Bilimler Dergisi, 6(12), 25–36.
  • Yao, Y.C. (1988). Estimating the Number of Change-Points via Schwarz’ Criterion. Statistics and Probability Letters, 6(3), 181–189.
Year 2018, Volume: 3 Issue: 1, 35 - 54, 31.08.2018
https://doi.org/10.21733/ibad.2167

Abstract

References

  • Abell, J.D., Krueger, T.M. (1989). Macroeconomic Influences on Beta. Journal of Economics and Business, 41(2), 185-193.
  • Adam, T., Benecka, S., Jansky, I. (2012). Time-Varying Betas of Banking Sector. Czech Journal of Economics and Finance, 62, 485-501.
  • Adrian, T., Franzoni, F. (2004). Learning about Beta: A New Look at CAPM Tests. Staff Reports of Federal Reserve Bank of New York, No:193.
  • Akkaya, G.C., Güney,S., Mocan,S., Tezcan, Ö. (2012). Enerji ve Banka Sektörlerine ait Hisse Senetleri Üzerinde Risk Ayrıştırma Çalışması. Ekonomi ve Yönetim Araştırmaları Dergisi , 1(1), 9-24.
  • Aksu, D. (2016). İmalat Sektöründe Kur Riskinin Birincil ve İkincil Etkileri ve Kur Riskine Karşı Çözüm Önerileri. Muhasebe ve Finansman Dergisi, 71, 149-164.
  • Altınsoy, G. (2009). Time-Varying Beta Estimation for Turkish Real Estate Investment Trusts: An Analysis of Alternative Modeling Techniques. Unpublished Master thesis, Middle East Technical University, Ankara.
  • Altıntaş, M.A. (2006). Bankacılıkta Risk Yönetimi ve Sermaye Yeterliliği. Ankara: Turhan Kitapevi.
  • Andersen,T.G., Bollerslev,T., Diebold, F.X., Wu, J.G. (2005). A Framework for Exploring the Macroeconomic Determinants of Systematic Risk. National Bureau of Economic Research.
  • Ane, T. (2006). Analysis of the Flexibility of Asymmetric Power GARCH Models. Computational Statistics & Data Analysis, 51,1293–1311.
  • Ang, A., Hodrick, R. J., Xing, Y., Zhang, X. (2006). The Cross-Section of Volatility and Expected Returns. Journal of Finance, 51, 259–299.
  • Ang, A., Hodrick, R. J., Xing, Y., Zhang, X. (2009). High Idiosyncratic Volatility and Low Returns: International and further US Evidence. Journal of Financial Economics, 91, 1–23.
  • Aohna, T. (2010). Time-Varying Betas and the Athens Stock Exchange Market. Unpublished Master Thesis, University of Macedonia, Macedonia.
  • Bai, J., Perron, P. (1998). Estimating and Testing Linear Models with Multiple Structural Changes. Econometrica, 66, 47–78.
  • Bai, J., Perron, P. (2003). Computation and Analysis of Multiple Structural Change Models. Journal of Applied Econometrics, 18 , 1–22.
  • Başçı, E., Kara, H. (2011). Finansal İstikrar ve Para Politikası. İktisat, İşletme ve Finans Dergisi, 26 (302), 9-25.
  • Ben-Horim, M., Levy, H. (1980). Total Risk, Diversifiable Risk and Non-diversifiable Risk: A Pedagogic Note. Journal of Financial and Quantitative Analysis, 15(2).
  • Bessler, W., Kurmann,P., Nohel,T. (2015). Time-Varying Systematic and Idiosyncratic Risk Exposures of US Bank Holding Companies. Journal of International Financial Markets, Institutions & Money,35,45-68.
  • Bharati, R., Nanisetty, P., So, J. (2006). Dynamic Gap Transformations: Are Banks Asset Transformers or Brokers ? Or Both ?. The Quarterly Review of Economics and Finance, 46, 36–52.
  • Brooks, R.D., Shoung, L.C. . (2006). The Impact of Capital Controls on Malaysian Banking Industry Betas. Applied Financial Economics Letters, 2 (4), 247-249.
  • Campbell, J., Lettau, M., Malkiel, B., Xu, Y. (2001). Have Individual Stocks Become more Volatile? An Empirical Exploration of Idiosyncratic Risk. Journal of Finance, 56, 1–43.
  • Candan, H. & Özün, A. (2007). Bankalarda Risk Yönetimi ve Basel II. İstanbul: Türkiye İş Bankası Kültür Yayınları.
  • Caporale, T. (2012). Time-Varying CAPM Betas and Banking Sector Risk. Economics Letters, 115, 293–295
  • Celik, S. (2013). Testing the Stability of Beta: A Sectoral Analysis in Turkish Stock Market. Journal of Economics and Behavioral Studies, 5(1), 18-23.
  • Cheng, W. H., Hung, J.C .(2011). Skewness and Leptokurtosis in GARCH-Typed VaR Estimation of Petroleum and Metal Asset Returns. Journal of Empirical Finance, 18,160–173.
  • Choudhry, T., Lu, L., Peng, K. (2010). Time-Varying Beta and the Asain Financial Crisis: Evidence from the Asain Indutrial Sectors. Japan and the World Economy, 22, 228-234.
  • Ciner, C. (2015). Time Variation in Systematic Risk, Returns and Trading Volume: Evidence from Precious Metals Mining Stocks. International Review of Financial Analysis, 41, 277-283.
  • Cotter, J., Sullivan, N.O., Rossi, F. (2015). The Conditional Pricing of Systematic and Idiosyncratic Risk in the UK Equity Market. International Review of Financial Analysis 37, 184–193.
  • Czaja, M.G., Scholz, H., Wilkens, M. (2009). Interest Rate Risk of German Financial Institutions: The impact of Level, Slope, and Curvature of the Term Structure. Review of Quantitative Finance and Accounting, 33,1–26.
  • Dash, M. (2016). Testing the Stationarity of Beta for Banking Sector Stocks in Indian Stock Markets: Panel Regression Analysis. Skyline Business Journal, 11 (2), 53-60.
  • Dimitriou, D., Kenourgios, D., Simos,T. (2013). Global Financial Crisis and Emerging Stock Market Contagion: A Multivariate FIAPARCH-DCC Approach. International Review of Financial Analysis, 30, 46-56.
  • Eğilmez, M. (2009). İki Kriz İki Türkiye. [URL: http://www.radikal.com.tr/yazarlar/mahfi-egilmez/iki-kriz-iki-turkiye-940785/ ].
  • Eisenbeiss, M., Kauermann, G., Semmier, W. (2007). Estimating Beta-Coefficients of German Stock Data: A Non-Parametric Approach. The European Journal of Finance, 13 (6), 503-522.
  • Engle, R., Kroner, K. (1995). Multivariate Simultaneous Generalized ARCH. Econometric Theory, 11, 122-150.
  • Fabozzi, F.J., Francis, J.C. (1978). Beta as a Random Coefficient. Journal of Financial and Quantitative Analysis, 13, 101-115.
  • Faff, R., Brooks, R. (1998). Time-Varying Beta Risks for Australian Industry Portfolios: An Exploratory Anaysis. Journal of Business Finance & Accounting, 25, 721- 745.
  • Faff, R.W., Hiller, D., Hiller, J. (2000). Time Varying Beta Risk: An Analysis of Alternative Modelling Techniques. Journal of Business, Finance & Accounting, 27 (5), 523-537.
  • Fan, Y., Zhang, Y. J., Wei, Y.M (2008). Estimating ‘Value at Risk’ of Crude Oil Prices and its Spillover Effect Using the GED-GARCH Approach. Energy Economics ,30, 3156-3171.
  • Giannopoulos, K. (1995). Estimating the Time Varying Components of International Stock Markets’ Risk. The European Journal of Finance, 1(2), 129- 164.
  • Guo, H., Savickas, R. (2006). Idiosyncratic Volatility, Stock Market Volatility, and Expected Stock Returns. Journal of Business and Economic Statistics, 24, 43–56.
  • Huang, P., Hueng, C.J. (2008). Conditional Risk-Return Relationship in a Time-Varying Beta Model. Quantative Finance, 8 (4), 381-390.
  • Kara, A.H. (2012). Küresel Kriz Sonrası Para Politikası. İktisat, İşletme ve Finans Dergisi, 27, (315), 9-36.
  • Kurach, R., Stelmach, J. (2014). Time-Varying Behaviour of Sector Beta Risk –The Case of Poland. Romanian Journal of Economic Forecasting, 17 (1), 139-156.
  • Lettau, M., Ludvıgson, S. (2001). Resurrecting the CAPM: A Cross-Sectional Test When Risk Premia are Time-Varying. Journal of Political Economy, 109 (6),1238-1287.
  • Li , X., Miffre, J., Brooks,C., Sullivan, N.O. (2008). Momentum Profits and Time-Varying Unsystematic Risk. Journal of Banking & Finance, 32(4), 541-558.
  • Li, X., Brooks, C., Miffre, J. (2009). The Value Premium and Time-Varying Volatility. Journal of Business Finance and Accounting, 36, 1252–1272.
  • Liu J., Wu, S., Zidek J.V. (1997). On Segmented Multivariate Regressions. Statistica Sinica, 7, 497–525.
  • Madura, J. (1989). International Financial Management. Second edition, St.Paul, Minnesota: West Publishing Company.
  • Malkiel, B. G., Xu, Y. (1997). Risk and Return Revisited. Journal of Portfolio Management, 23, 9–14.
  • Mergner, S., Bulla, J. (2008). Time-Varying Beta Risk of Pan-European Industry Portfolios: A Comparison of Alternative Modeling Techniques. European Journal of Finance , 14 (8), 772-802.
  • Odabaşı, A. (2002). An Investigation of Beta Instability in Istanbul Stock Exchange. The Istanbul Stock Exchange Review, 6 (24), 15-32.
  • Omran, M.F. (2007). An Analysis of the Capital Asset Pricing Model in the Egyptian Stock Market. The Quarterly Review of Economics and Finance, 46, 801-812.
  • Papaioannou, M.(2006). Exchange Rate Risk Measurement and Management: Issues and Approaches for Firms. IMF Working Paper, No:255. https://www.imf.org/external/pubs/ ft/wp/ 2006/wp06255.pdf.
  • Simmons, K. & Robock, H.S. (1989). International Business and Multinational Enterprises. Richard D. Irwin Inc.: Homewood.
  • So, M.P., Yu, P.H. (2006). Empirical Analysis of GARCH Models in Value at Risk Estimation. Journal of International Financial Markets Institutions & Money,16,180–197.
  • Stracca, L. (2015). Our Currency, Your Problem? The Global Effects of the Euro Debt Crisis. European Economic Review, 74, 1–13.
  • Tang, G.Y.N., Shum, W.C.( 2003). The Relationships Between Unsystematic Risk, Skewness and Stock Returns During up and down Markets. International Business Review, 12(5),523-541.
  • Usta, Ö., Demireli, E. (2010). Risk Bileşenleri Analizi: İMKB’de Bir Uygulama. ZKÜ Sosyal Bilimler Dergisi, 6(12), 25–36.
  • Yao, Y.C. (1988). Estimating the Number of Change-Points via Schwarz’ Criterion. Statistics and Probability Letters, 6(3), 181–189.
There are 58 citations in total.

Details

Journal Section Makaleler
Authors

Önder Büberkökü 0000-0002-7140-557X

Publication Date August 31, 2018
Published in Issue Year 2018 Volume: 3 Issue: 1

Cite

APA Büberkökü, Ö. (2018). BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ. Uluslararası Bilimsel Araştırmalar Dergisi (IBAD), 3(1), 35-54. https://doi.org/10.21733/ibad.2167
AMA Büberkökü Ö. BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ. IBAD. August 2018;3(1):35-54. doi:10.21733/ibad.2167
Chicago Büberkökü, Önder. “BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK Ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ”. Uluslararası Bilimsel Araştırmalar Dergisi (IBAD) 3, no. 1 (August 2018): 35-54. https://doi.org/10.21733/ibad.2167.
EndNote Büberkökü Ö (August 1, 2018) BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ. Uluslararası Bilimsel Araştırmalar Dergisi (IBAD) 3 1 35–54.
IEEE Ö. Büberkökü, “BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ”, IBAD, vol. 3, no. 1, pp. 35–54, 2018, doi: 10.21733/ibad.2167.
ISNAD Büberkökü, Önder. “BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK Ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ”. Uluslararası Bilimsel Araştırmalar Dergisi (IBAD) 3/1 (August 2018), 35-54. https://doi.org/10.21733/ibad.2167.
JAMA Büberkökü Ö. BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ. IBAD. 2018;3:35–54.
MLA Büberkökü, Önder. “BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK Ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ”. Uluslararası Bilimsel Araştırmalar Dergisi (IBAD), vol. 3, no. 1, 2018, pp. 35-54, doi:10.21733/ibad.2167.
Vancouver Büberkökü Ö. BANKA HİSSELERİNİN ZAMANLA DEĞİŞEN TOPLAM RİSKİNİN SİSTEMATİK ve SİSTEMATİK OLMAYAN RİSK BİLEŞENLERİNE AYRILMASI: AR (p)-DCC-GARCH (p,q) MODELLİNE DAYALI BİR ANALİZ. IBAD. 2018;3(1):35-54.

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