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The performance of Asian airlines in the recent financial turmoil based on VaR and modified Sharpe ratio

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  • Chuang, I-Yuan
  • Chiu, Yen-Chen
  • Edward Wang, C.

Abstract

Stock performance evaluation is an important subject widely studied for both theoretical and practical purposes. It is particularly relevant for the highly cyclical airline industry now in a financial crisis. Here it is shown that the use of conventional performance measures, such as the Sharpe ratio, could seriously mislead investors regarding stock performances of airline companies.

Suggested Citation

  • Chuang, I-Yuan & Chiu, Yen-Chen & Edward Wang, C., 2008. "The performance of Asian airlines in the recent financial turmoil based on VaR and modified Sharpe ratio," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 257-262.
    • Handle: RePEc:eee:jaitra:v:14:y:2008:i:5:p:257-262
    DOI: 10.1016/j.jairtraman.2008.05.001
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    References listed on IDEAS

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    1. Carter, David A. & Simkins, Betty J., 2004. "The market's reaction to unexpected, catastrophic events: the case of airline stock returns and the September 11th attacks," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(4), pages 539-558, September.
    2. Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
    3. Maroney, Neal & Naka, Atsuyuki & Wansi, Theresia, 2004. "Changing Risk, Return, and Leverage: The 1997 Asian Financial Crisis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(1), pages 143-166, March.
    4. McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.
    5. Christoffersen, Peter F, 1998. "Evaluating Interval Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-862, November.
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    Cited by:

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    2. Akyildirim, Erdinc & Corbet, Shaen & Efthymiou, Marina & Guiomard, Cathal & O'Connell, John F. & Sensoy, Ahmet, 2020. "The financial market effects of international aviation disasters," International Review of Financial Analysis, Elsevier, vol. 69(C).
    3. Cunha, Felipe Arias Fogliano de Souza & Meira, Erick & Orsato, Renato J. & Klotzle, Marcelo Cabus & Lucena, André F.P., 2021. "Do low-carbon investments in emerging economies pay off? Evidence from the Brazilian stock market," International Review of Financial Analysis, Elsevier, vol. 74(C).
    4. Mohd Ziaur Rehman & Md Zulquar Nain & Mohammed Alhashim & Javed Ahmad Bhat, 2024. "Choice between Sustainable versus Conventional Investments—Relative Efficiency Analysis from Global and Regional Stock Markets," Sustainability, MDPI, vol. 16(13), pages 1-26, June.
    5. Paul Tae-Woo Lee & Cheng-Wei Lin & Yi-Shih Chung, 2014. "Comparison analysis for subjective and objective weights of financial positions of container shipping companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(3), pages 241-250, May.
    6. Jenatabadi, Hashem Salarzadeh & Ismail, Noor Azina, 2014. "Application of structural equation modelling for estimating airline performance," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 25-33.
    7. Felipe Arias Fogliano de Souza Cunha & Erick Meira de Oliveira & Renato J. Orsato & Marcelo Cabus Klotzle & Fernando Luiz Cyrino Oliveira & Rodrigo Goyannes Gusmão Caiado, 2020. "Can sustainable investments outperform traditional benchmarks? Evidence from global stock markets," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 682-697, February.

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