BibTex RIS Kaynak Göster

Riske Maruz Değer Hesaplamasında Alternatif Yaklaşımlar

Yıl 2009, Cilt: 3 Sayı: 2, 63 - 86, 01.12.2009

Kaynakça

  • Bollersev, T.. (1986). Generalized Autoregressive Conditional Heteroscedasticity. Journal of Econometrics. 32: 307-327.
  • Bollersev, T., Engle, R.F. ve Nelson, D.B.. (1994). ARCH Models. (Ed.: Robert F. Engle ve Daniel L. McFadden). Handbook of Econometrics. Amsterdam: North Holland Pres. 2959-3038.
  • Bozkufl, S.. (2005). Risk Ölçümünde Alternatif Yaklaflımlar: Riske Maruz Değer (VaR) ve Beklenen Kayıp (ES) Uygulamaları. Dokuz Eylül Üniversitesi, İktisadi ve İdari Bilimler Fakültesi Dergisi. 20(2): 27-45.
  • Campbell, R., Huisman, R. ve Koedijk, K.. (2001). Optimal Portfolio Selection in a Value at Risk Framework. Journal of Banking and Finance. 25: 1789–1804.
  • Christoffersen, P.F.. (1998). Evaluating Interval Forecasts, International Econo- mic Review, 39: 841-862.
  • Cornish, E.A. ve Fisher, R.A.. (1937). Moments and Cumulants in the Specifica- tion of Distributions. Revue de l'Institut International de Statistique. 5(4): 307- 320.
  • Çifter, A.. (2004). Risk Yönetimi’nde (Skewed) Student-t ve GED Dağılımları ile Asimetrik ve (Kısmi) Entegre GARCH Modelleri: Eurobond Üzerine Bir Uygula- ma. VIII. Ulusal Finans Sempozyumu. İstanbul Teknik Üniversitesi.
  • Çifter, A., Özün, A. ve Yılmazer, S.. (2007). Geriye Dönük Testlerin Karflılafltır- malı Analizi: Döviz Kuru Üzerine Bir Uygulama. Bankacılar Dergisi. Türkiye Ban- kalar Birliği. 62: 25-43.
  • Dimandis, P.F., Kouretas, G.P. ve Zarangas, L.. (2006). Value-at-Risk for Long and Short Trading Positions: The Case of the Athens Stock Exchange. Working Paper. University of Crete, Department of Economics, No:601.
  • Ding, Z., Granger, C.W.J. ve Engle, R.F.. (1993). A Long Memory Property of Stock Market Returns and A New Model. Journal of Empirical Finance. 1: 83- 106.
  • Dowd, K.. (2000). Beyond Value at Risk: The New Science of Risk Management. John Wiley&Sons.
  • Dowd, K.. (2002). Measuring Market Risk. John Wiley&Sons.
  • Engle, R.F.. (1982). Autoregressive Conditional Heteroscedasticity With Estimates of The Variance of United Kingdom Inflation. Econometrica. 55(2): 987-1007.
  • Favre, L. ve Galeano, J.A.. (2002). Mean-Modified Value-at-Risk Optimization with Hedge Funds. Journal of Alternative Investment Fall. 5(2): 2–21.
  • Fernandez, C. ve Steel, M.F.J.. (1998). On Bayesian Modelling of Fat Tails and Skewness, Journal of the American Statistical Association. 93: 359-371.
  • Füss, R., Kaiser, D.G. ve Adams, Z.. (2007). Value at Risk, GARCH Modelling and the Forecasting of Hedge Fund Return Volatility. Journal of Derivatives and Hedge Funds. 13(1): 2-25.
  • Giot, P. ve Laurent, S.. (2003). Value-at-Risk For Long and Short Trading Positions. Journal of Applied Econometrics. 18: 641–664.
  • Giot, P. ve Laurent, S.. (2004). Modelling Daily Value-at-Risk Using Realized Volatility and ARCH Type Models. Journal of Empirical Finance. 11(3): 379-398.
  • Glosten, L.R., Jagannatthan, R. ve Runkle, D.E.. (1993). On the Relationship Between The Expected Value and The Volatility of The Nominal Excess Return on Stocks. Journal of Finance. 48: 1779-1801.
  • Härdle, W.K. ve Mungo, J.. (2008). Value-at-Risk and expected shortfall when there is long range dependence. SFB 649‘Economic Risk’ Discussion Paper. 6: 1-39.
  • Harris, R. ve Sollis, R.. (2003). Applied Time Series Modeling and Forecasting. John Wiley and Sons.
  • Hendrics, D.. (1996). Evaluation of Value at Risk Models Using Historical Data. Economic Policy Review. Federal Reserve Bank of New York. 2(1): 39-69.
  • Jackson, P., Maude, D.J. ve Perraudin, W.. (1998). Bank Capital and Value at Risk. Bank of England, Working Paper Series. 79: 1-37.
  • Jondeau, E., Poon, S.H. ve Rockinger, M.. (2007). Financial Modeling Under Non-Gaussian Distributions. USA: Springer Finance.
  • Jorion, P.. (2000). Value at Risk: The New Benchmark for Managing Financial Risk. 2nd Edition. New York: McGraw Hill Inc.
  • Khanniche, S.. (2008). Evaluation of Hedge Fund Returns Value at Risk Using GARCH Models. 5th International Conference on Applied Financial Economics, Samos Island, Greece.
  • Kupiec, P.H.. (1995). Techniques for Verifying the Accuracy of Risk Measure- ment Models, Journal of Derivatives, 3: 73-84.
  • Lambert, P. ve Laurent, S.. (2001). Modelling Financial Time Series Using GARCH-Type Models with a Skewed Student Distribution For The Innovations. Universite Catholique de Louvain, Institut de Statistique. Discussion Paper. 125.
  • Laurent, S.. (2009). G@RCH 6.0 Help, http://www.garch.org, (30.08.2009).
  • Nelson, D.B.. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach, Econometrica. 59: 347-370.
  • Pan, H. ve Zhang, Z.. (2006). Forecasting Financial Volatility: Evidence From Chinese Stock Market. Working Paper in Economics and Finance. University of Durham. 06/02: 1-29.
  • Pattarathammas, S., Mokkhavesa, S. ve Nilla-Or, P.. (2008). Value-at-Risk and Expected Shortfall under Extreme Value Theory Framework: An Empirical Study on Asian Markets. 2nd European Risk Conference, Milano.
  • Peterson, B.G. ve Boudt, K.. (2008). Component VaR for a Non-Normal World. Risk Magazine. November, 78-81.
  • Sakalauskas, V. ve Kriksciuniene, D.. (2006). Evaluation of Value-at-Risk for Short Term Investment by Using Cornish-Fisher Expansion. The Sixth Internatio- nal Conference on Intelligent Systems Desing and Applications. Jinan, China, (16-18 October 2006).
  • Tang, T. ve Shieh, S. J.. (2006). Long-Memory in Stock Index Futures Markets: A Value-at-Risk Approach, Physica A, 366: 437-448.
  • Teker, S., Karakurum, E. ve Tay, O.. (2008). Yatırım Fonlarının Risk Odaklı Performans Değerlemesi. Doğufl Üniversitesi Dergisi. 9(1): 89-105.
  • Yamai, Y. ve Yoshiba, T.. (2002). Comparative Analyses of Expected Shortfall and Value-at-Risk (2): Expected Utility Maximization and Tail Risk. Monetary and Economic Studies. Bank of Japan. 20(2): 95–115.
  • Yamai, Y. ve Yoshiba, T.. (2005). Value-at-Risk Versus Expected Shortfall: A Practical Perspective.Journal of Banking and Finance. 29: 997–1015.
  • Zangari, P.. (1996). A VaR Methodology for Portfolios that Include Options. RiskMetrics Monitor. First Quarter, 4-12.

Alternative Approaches for Estimating Value at Risk

Yıl 2009, Cilt: 3 Sayı: 2, 63 - 86, 01.12.2009

Kaynakça

  • Bollersev, T.. (1986). Generalized Autoregressive Conditional Heteroscedasticity. Journal of Econometrics. 32: 307-327.
  • Bollersev, T., Engle, R.F. ve Nelson, D.B.. (1994). ARCH Models. (Ed.: Robert F. Engle ve Daniel L. McFadden). Handbook of Econometrics. Amsterdam: North Holland Pres. 2959-3038.
  • Bozkufl, S.. (2005). Risk Ölçümünde Alternatif Yaklaflımlar: Riske Maruz Değer (VaR) ve Beklenen Kayıp (ES) Uygulamaları. Dokuz Eylül Üniversitesi, İktisadi ve İdari Bilimler Fakültesi Dergisi. 20(2): 27-45.
  • Campbell, R., Huisman, R. ve Koedijk, K.. (2001). Optimal Portfolio Selection in a Value at Risk Framework. Journal of Banking and Finance. 25: 1789–1804.
  • Christoffersen, P.F.. (1998). Evaluating Interval Forecasts, International Econo- mic Review, 39: 841-862.
  • Cornish, E.A. ve Fisher, R.A.. (1937). Moments and Cumulants in the Specifica- tion of Distributions. Revue de l'Institut International de Statistique. 5(4): 307- 320.
  • Çifter, A.. (2004). Risk Yönetimi’nde (Skewed) Student-t ve GED Dağılımları ile Asimetrik ve (Kısmi) Entegre GARCH Modelleri: Eurobond Üzerine Bir Uygula- ma. VIII. Ulusal Finans Sempozyumu. İstanbul Teknik Üniversitesi.
  • Çifter, A., Özün, A. ve Yılmazer, S.. (2007). Geriye Dönük Testlerin Karflılafltır- malı Analizi: Döviz Kuru Üzerine Bir Uygulama. Bankacılar Dergisi. Türkiye Ban- kalar Birliği. 62: 25-43.
  • Dimandis, P.F., Kouretas, G.P. ve Zarangas, L.. (2006). Value-at-Risk for Long and Short Trading Positions: The Case of the Athens Stock Exchange. Working Paper. University of Crete, Department of Economics, No:601.
  • Ding, Z., Granger, C.W.J. ve Engle, R.F.. (1993). A Long Memory Property of Stock Market Returns and A New Model. Journal of Empirical Finance. 1: 83- 106.
  • Dowd, K.. (2000). Beyond Value at Risk: The New Science of Risk Management. John Wiley&Sons.
  • Dowd, K.. (2002). Measuring Market Risk. John Wiley&Sons.
  • Engle, R.F.. (1982). Autoregressive Conditional Heteroscedasticity With Estimates of The Variance of United Kingdom Inflation. Econometrica. 55(2): 987-1007.
  • Favre, L. ve Galeano, J.A.. (2002). Mean-Modified Value-at-Risk Optimization with Hedge Funds. Journal of Alternative Investment Fall. 5(2): 2–21.
  • Fernandez, C. ve Steel, M.F.J.. (1998). On Bayesian Modelling of Fat Tails and Skewness, Journal of the American Statistical Association. 93: 359-371.
  • Füss, R., Kaiser, D.G. ve Adams, Z.. (2007). Value at Risk, GARCH Modelling and the Forecasting of Hedge Fund Return Volatility. Journal of Derivatives and Hedge Funds. 13(1): 2-25.
  • Giot, P. ve Laurent, S.. (2003). Value-at-Risk For Long and Short Trading Positions. Journal of Applied Econometrics. 18: 641–664.
  • Giot, P. ve Laurent, S.. (2004). Modelling Daily Value-at-Risk Using Realized Volatility and ARCH Type Models. Journal of Empirical Finance. 11(3): 379-398.
  • Glosten, L.R., Jagannatthan, R. ve Runkle, D.E.. (1993). On the Relationship Between The Expected Value and The Volatility of The Nominal Excess Return on Stocks. Journal of Finance. 48: 1779-1801.
  • Härdle, W.K. ve Mungo, J.. (2008). Value-at-Risk and expected shortfall when there is long range dependence. SFB 649‘Economic Risk’ Discussion Paper. 6: 1-39.
  • Harris, R. ve Sollis, R.. (2003). Applied Time Series Modeling and Forecasting. John Wiley and Sons.
  • Hendrics, D.. (1996). Evaluation of Value at Risk Models Using Historical Data. Economic Policy Review. Federal Reserve Bank of New York. 2(1): 39-69.
  • Jackson, P., Maude, D.J. ve Perraudin, W.. (1998). Bank Capital and Value at Risk. Bank of England, Working Paper Series. 79: 1-37.
  • Jondeau, E., Poon, S.H. ve Rockinger, M.. (2007). Financial Modeling Under Non-Gaussian Distributions. USA: Springer Finance.
  • Jorion, P.. (2000). Value at Risk: The New Benchmark for Managing Financial Risk. 2nd Edition. New York: McGraw Hill Inc.
  • Khanniche, S.. (2008). Evaluation of Hedge Fund Returns Value at Risk Using GARCH Models. 5th International Conference on Applied Financial Economics, Samos Island, Greece.
  • Kupiec, P.H.. (1995). Techniques for Verifying the Accuracy of Risk Measure- ment Models, Journal of Derivatives, 3: 73-84.
  • Lambert, P. ve Laurent, S.. (2001). Modelling Financial Time Series Using GARCH-Type Models with a Skewed Student Distribution For The Innovations. Universite Catholique de Louvain, Institut de Statistique. Discussion Paper. 125.
  • Laurent, S.. (2009). G@RCH 6.0 Help, http://www.garch.org, (30.08.2009).
  • Nelson, D.B.. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach, Econometrica. 59: 347-370.
  • Pan, H. ve Zhang, Z.. (2006). Forecasting Financial Volatility: Evidence From Chinese Stock Market. Working Paper in Economics and Finance. University of Durham. 06/02: 1-29.
  • Pattarathammas, S., Mokkhavesa, S. ve Nilla-Or, P.. (2008). Value-at-Risk and Expected Shortfall under Extreme Value Theory Framework: An Empirical Study on Asian Markets. 2nd European Risk Conference, Milano.
  • Peterson, B.G. ve Boudt, K.. (2008). Component VaR for a Non-Normal World. Risk Magazine. November, 78-81.
  • Sakalauskas, V. ve Kriksciuniene, D.. (2006). Evaluation of Value-at-Risk for Short Term Investment by Using Cornish-Fisher Expansion. The Sixth Internatio- nal Conference on Intelligent Systems Desing and Applications. Jinan, China, (16-18 October 2006).
  • Tang, T. ve Shieh, S. J.. (2006). Long-Memory in Stock Index Futures Markets: A Value-at-Risk Approach, Physica A, 366: 437-448.
  • Teker, S., Karakurum, E. ve Tay, O.. (2008). Yatırım Fonlarının Risk Odaklı Performans Değerlemesi. Doğufl Üniversitesi Dergisi. 9(1): 89-105.
  • Yamai, Y. ve Yoshiba, T.. (2002). Comparative Analyses of Expected Shortfall and Value-at-Risk (2): Expected Utility Maximization and Tail Risk. Monetary and Economic Studies. Bank of Japan. 20(2): 95–115.
  • Yamai, Y. ve Yoshiba, T.. (2005). Value-at-Risk Versus Expected Shortfall: A Practical Perspective.Journal of Banking and Finance. 29: 997–1015.
  • Zangari, P.. (1996). A VaR Methodology for Portfolios that Include Options. RiskMetrics Monitor. First Quarter, 4-12.
Toplam 39 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Research Article
Yazarlar

Mert Ural Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2009
Yayımlandığı Sayı Yıl 2009 Cilt: 3 Sayı: 2

Kaynak Göster

APA Ural, M. (2009). Riske Maruz Değer Hesaplamasında Alternatif Yaklaşımlar. BDDK Bankacılık Ve Finansal Piyasalar Dergisi, 3(2), 63-86.