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The Importance of Market Returns in Financial Return Analysis: US Air Carriers

Yıl 2025, Cilt: 6 Sayı: 1, 20 - 33, 22.06.2025
https://doi.org/10.58767/joinbat.1556001

Öz

Kaynakça

  • Akgiray, V., & Booth, G. G. (1988). The stable-law model of stock returns. Journal of Business & Economic Statistics, 6(1), 51-57.
  • Akyildirim, E., Corbet, S., Efthymiou, M., Guiomard, C., O'Connell, J. F., & Sensoy, A. (2020). The financial market effects of international aviation disasters. International Review of Financial Analysis, 69, 101468.
  • Akyildirim, E., Corbet, S., Nicolau, J. L., & Oxley, L. (2025). Understanding reputational disaster during economic crises: Evaluating aviation sector response differentials. Tourism Management, 106, 105028.
  • Arbia, G., Bramante, R., & Facchinetti, S. (2020). Least quartic regression criterion to evaluate systematic risk in the presence of co-skewness and co-kurtosis. Risks, 8(3), 95.
  • Athanasiadis, T. (2015). Volatility Forecasting in Futures Markets: A Statistical and Value-at-Risk Evaluation. Available at SSRN 2694314.
  • Basak, S., & Shapiro, A. (2001). Value-at-risk-based risk management: optimal policies and asset prices. The review of financial studies, 14(2), 371-405.
  • Berkowitz, J., Christoffersen, P., & Pelletier, D. (2011). Evaluating value-at-risk models with desk-level data. Management Science, 57(12), 2213-2227.
  • Brooks, C., & Persand, G. (2003). The effect of asymmetries on stock index return value‐at‐risk estimates. The Journal of Risk Finance, 4(2), 29-42.
  • Chen, T. and Huang, C. (2019). A two-tier scenario planning model of environmental sustainability policy in Taiwan. Sustainability, 11(8), 2336. https://doi.org/10.3390/su11082336,
  • Cook, D., Mayer, R., & Doy, G. (2023). Crises and the resilience of the aviation industry: A literature review of crises and airline responses. Transportation Research Procedia, 75, 33-42.
  • Danielsson, J., & De Vries, C. G. (2000). Value-at-risk and extreme returns. Annales d'Economie et de Statistique, 239-270.
  • Debnath, P., Shantharam, S. A., Dwarampudi, A. R., & Vidya, D. S. (2020). A study on the causes of the financial crisis in the Indian aviation industry with special reference to–Kingfisher Airlines. Journal of Management (JOM), 7(1).
  • Doan, M. P. (2011). The roles of systematic skewness and systematic kurtosis in asset pricing (Doctoral dissertation, RMIT University).
  • Duan, J. C., & Wei, J. (2009). Systematic risk and the price structure of individual equity options. The Review of Financial Studies, 22(5), 1981-2006.
  • Faizuloyeva N., Olechowska K. (2021) Financial condition and bankruptcy likelihood in aviation on the example of the Aeroflot company. Financial Internet Quarterly 17 (4), pp. 50-69.
  • Fama, E.F., "The Behavior of Stock-Market Prices," Journal of Business, 38 (January 1965), 34-105.
  • Favre, L., & Galeano, J. A. (2002). Mean-modified value-at-risk optimization with hedge funds. Journal of Alternative Investments, 5(2), 21-25.
  • Filiasi, M., Livan, G., Marsili, M., Peressi, M., Vesselli, E., & Zarinelli, E. (2014). On the concentration of large deviations for fat-tailed distributions, with application to financial data. Journal of Statistical Mechanics: Theory and Experiment, 2014(9), P09030.
  • Ghaoui, L. E., Oks, M., & Oustry, F. (2003). Worst-case value-at-risk and robust portfolio optimization: A conic programming approach. Operations research, 51(4), 543-556.
  • Giot, P., & Laurent, S. (2003). Value‐at‐risk for long and short trading positions. Journal of Applied Econometrics, 18(6), 641-663.
  • Glasserman, P., Heidelberger, P., & Shahabuddin, P. (2002). Portfolio value‐at‐risk with heavy‐tailed risk factors. Mathematical Finance, 12(3), 239-269.
  • Gradojevic, N., & Caric, M. (2017). Predicting systemic risk with entropic indicators. Journal of Forecasting, 36(1), 16-25.
  • Ha, L. T. (2023). Fat tails and network interlinkages of crude oil and cryptocurrency during the COVID-19 health crisis. Journal of Economic Studies, 50(5), 1087-1104.
  • Haas, M., & Pigorsch, C. (2009). Financial Economics, Fat-Tailed Distributions. Encyclopedia of Complexity and Systems Science, 4(1), 3404-3435.
  • Hagerman, R. L. (1978). More evidence on the distribution of security returns. The journal of finance, 33(4), 1213-1221.
  • Hall, J. A., Brorsen, B. W., & Irwin, S. H. (1989). The distribution of futures prices: A test of the stable Paretian and mixture of normals hypotheses. Journal of Financial and Quantitative Analysis, 24(1), 105-116.
  • Hedström, A. P., Uddin, G. S., Rahman, M. L., & Sjö, B. (2024). Systemic risk in the Scandinavian banking sector. International Journal of Finance & Economics, 29(1), 581-608.
  • Hendricks, D. (1996). Evaluation of value-at-risk models using historical data. Economic policy review, 2(1).
  • Hoga, Y., & Demetrescu, M. (2023). Monitoring value-at-risk and expected shortfall forecasts. Management Science, 69(5), 2954-2971.
  • Hsu, D. A., Miller, R. B., & Wichern, D. W. (1974). On the stable Paretian behavior of stock-market prices. Journal of the American Statistical Association, 69(345), 108-113.
  • Jorion, P. (1996). Risk 2: Measuring the risk in value at risk. Financial Analysts Journal, 52(6), 47-56.
  • Jorion, P. (2002). How informative are value‐at‐risk disclosures? The Accounting Review, 77(4), 911-931.
  • Kuester, K., Mittnik, S., & Paolella, M. S. (2006). Value-at-risk prediction: A comparison of alternative strategies. Journal of Financial Econometrics, 4(1), 53-89.
  • Lanne, M., Liu, K., & Luoto, J. (2023). Identifying structural vector autoregression via leptokurtic economic shocks. Journal of Business & Economic Statistics, 41(4), 1341-1351.
  • Lau, A. H. L., Lau, H. S., & Wingender, J. R. (1990). The distribution of stock returns: New evidence against the stable model. Journal of Business & Economic Statistics, 8(2), 217-223.
  • Linsmeier, T. J., & Pearson, N. (1996). Risk Measurement: An Introduction to Value at Risk. University Library of Munich, Germany.
  • Lu, J. R., & Chen, C. C. (2010). Effect of oil price risk on systematic risk from transportation services industry evidence. The Service Industries Journal, 30(11), 1853-1870.
  • Lu, J. R., & Chen, C. C. (2010). Effect of oil price risk on systematic risk from transportation services industry evidence. The Service Industries Journal, 30(11), 1853-1870.
  • Maciel, L. (2021). Cryptocurrencies value‐at‐risk and expected shortfall: Do regime‐switching volatility models improve forecasting? International Journal of Finance & Economics, 26(3), 4840-4855.
  • Mahmoud, I., & Naoui, K. (2017). Measuring systematic and specific risk: Approach mean-entropy. Asian Journal of Empirical Research, 7(3), 42-60.
  • Mahmoud, I., & Naoui, K. (2017). Measuring systematic and specific risk: Approach mean-entropy. Asian Journal of Empirical Research, 7(3), 42-60.
  • Manganelli, S., & Engle, R. F. (2001). Value at risk models in finance.
  • Moore, D. S. and McCabe, G. P. Introduction to the Practice of Statistics, 3rd ed. New York: W. H. Freeman, 1999.
  • Moser, C. (2018). Tail event probability for different distribution functions: A comparison (Bachelor's thesis, Humboldt-Universität zu Berlin).
  • O’Regan, M. (2011). On the edge of chaos: European aviation and disrupted mobilities. Mobilities, 6(1), 21-30.
  • Peng, S., Yang, S., & Yao, J. (2023). Improving value-at-risk prediction under model uncertainty. Journal of Financial Econometrics, 21(1), 228-259.
  • Goldie, C. M., & Grübel, R. (1996). Perpetuities with thin tails. Advances in Applied Probability, 28(2), 463-480.
  • Perry, P. R. (1983). More evidence on the nature of the distribution of security returns. Journal of Financial and Quantitative Analysis, 18(2), 211-221.
  • Pindyck, R. S. (2011). Fat tails, thin tails, and climate change policy. Review of Environmental Economics and Policy.
  • Praetz, P. D. (1972). The distribution of share price changes. Journal of Business, 49-55.
  • Rabemananjara, R., & Zakoian, J. M. (1993). Threshold ARCH models and asymmetries in volatility. Journal of Applied Econometrics, 8(1), 31-49.
  • Sarraj, M., & Ben Mabrouk, A. (2021). The Systematic Risk at the Crisis—A Multifractal Non-Uniform Wavelet
  • Systematic Risk Estimation. Fractal and Fractional, 5(4), 135.
  • Stoyanov, S. V., Rachev, S. T., Racheva-Iotova, B., & Fabozzi, F. J. (2011). Fat-tailed models for risk estimation (No. 30). KIT Working Paper Series in Economics.
  • Taneja, N. K. (1990). Introduction to Civil Aviation. Journal of Aviation/Aerospace Education & Research, 1(1), 3.
  • Tri, H. T. and Nga, V. T. (2019). Factors affecting the disparity between Vietnamese gold prices and worldwide gold prices. Journal of Competitiveness, 11(3), 160-172. https://doi.org/10.7441/joc.2019.03.10,
  • Yu, D. (2021). Divergence of Aviation Finance Markets: Lulls Before the Storm or Growth? Journal of Structured Finance, 27(3), 9-17.
  • Zhong, L., Cheng, L., Xu, H., Wu, Y., Chen, Y., & Li, M. (2016). Segmentation of individual trees from TLS and MLS data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 774-787.

The Importance of Market Returns in Financial Return Analysis: US Air Carriers

Yıl 2025, Cilt: 6 Sayı: 1, 20 - 33, 22.06.2025
https://doi.org/10.58767/joinbat.1556001

Öz

A financial return can be examined under two different segments the market dimension and the idiosyncratic dimension. This paper mainly concentrates on this issue in the United States Air Carrier Market. The financial returns of air carriers have been divided into these two parts and market returns were changed while idiosyncratic returns are stable. Naturally, the purpose of this research is to detect the most suitable financial context for air carriers regarding risk (standard deviation). To realize this, three forms of simulations, which are uniform (platycurtic), laplace (leptokurtic) and normal (mesocurtic) are utilized and results are taken. The results are added to the financial returns of air carriers and the new financial returns are taken and interpreted. In all three forms, the returns show leptocurtic character and three hypotheses of the research were confirmed. On the other side, according to Value-at-Risk (VaR) calculations, standard deviations are indicators of the risk. Risk formulation of the financial returns is changed depending on the changes in market forms. Therefore, the research proves the statistical importance of market returns.

Kaynakça

  • Akgiray, V., & Booth, G. G. (1988). The stable-law model of stock returns. Journal of Business & Economic Statistics, 6(1), 51-57.
  • Akyildirim, E., Corbet, S., Efthymiou, M., Guiomard, C., O'Connell, J. F., & Sensoy, A. (2020). The financial market effects of international aviation disasters. International Review of Financial Analysis, 69, 101468.
  • Akyildirim, E., Corbet, S., Nicolau, J. L., & Oxley, L. (2025). Understanding reputational disaster during economic crises: Evaluating aviation sector response differentials. Tourism Management, 106, 105028.
  • Arbia, G., Bramante, R., & Facchinetti, S. (2020). Least quartic regression criterion to evaluate systematic risk in the presence of co-skewness and co-kurtosis. Risks, 8(3), 95.
  • Athanasiadis, T. (2015). Volatility Forecasting in Futures Markets: A Statistical and Value-at-Risk Evaluation. Available at SSRN 2694314.
  • Basak, S., & Shapiro, A. (2001). Value-at-risk-based risk management: optimal policies and asset prices. The review of financial studies, 14(2), 371-405.
  • Berkowitz, J., Christoffersen, P., & Pelletier, D. (2011). Evaluating value-at-risk models with desk-level data. Management Science, 57(12), 2213-2227.
  • Brooks, C., & Persand, G. (2003). The effect of asymmetries on stock index return value‐at‐risk estimates. The Journal of Risk Finance, 4(2), 29-42.
  • Chen, T. and Huang, C. (2019). A two-tier scenario planning model of environmental sustainability policy in Taiwan. Sustainability, 11(8), 2336. https://doi.org/10.3390/su11082336,
  • Cook, D., Mayer, R., & Doy, G. (2023). Crises and the resilience of the aviation industry: A literature review of crises and airline responses. Transportation Research Procedia, 75, 33-42.
  • Danielsson, J., & De Vries, C. G. (2000). Value-at-risk and extreme returns. Annales d'Economie et de Statistique, 239-270.
  • Debnath, P., Shantharam, S. A., Dwarampudi, A. R., & Vidya, D. S. (2020). A study on the causes of the financial crisis in the Indian aviation industry with special reference to–Kingfisher Airlines. Journal of Management (JOM), 7(1).
  • Doan, M. P. (2011). The roles of systematic skewness and systematic kurtosis in asset pricing (Doctoral dissertation, RMIT University).
  • Duan, J. C., & Wei, J. (2009). Systematic risk and the price structure of individual equity options. The Review of Financial Studies, 22(5), 1981-2006.
  • Faizuloyeva N., Olechowska K. (2021) Financial condition and bankruptcy likelihood in aviation on the example of the Aeroflot company. Financial Internet Quarterly 17 (4), pp. 50-69.
  • Fama, E.F., "The Behavior of Stock-Market Prices," Journal of Business, 38 (January 1965), 34-105.
  • Favre, L., & Galeano, J. A. (2002). Mean-modified value-at-risk optimization with hedge funds. Journal of Alternative Investments, 5(2), 21-25.
  • Filiasi, M., Livan, G., Marsili, M., Peressi, M., Vesselli, E., & Zarinelli, E. (2014). On the concentration of large deviations for fat-tailed distributions, with application to financial data. Journal of Statistical Mechanics: Theory and Experiment, 2014(9), P09030.
  • Ghaoui, L. E., Oks, M., & Oustry, F. (2003). Worst-case value-at-risk and robust portfolio optimization: A conic programming approach. Operations research, 51(4), 543-556.
  • Giot, P., & Laurent, S. (2003). Value‐at‐risk for long and short trading positions. Journal of Applied Econometrics, 18(6), 641-663.
  • Glasserman, P., Heidelberger, P., & Shahabuddin, P. (2002). Portfolio value‐at‐risk with heavy‐tailed risk factors. Mathematical Finance, 12(3), 239-269.
  • Gradojevic, N., & Caric, M. (2017). Predicting systemic risk with entropic indicators. Journal of Forecasting, 36(1), 16-25.
  • Ha, L. T. (2023). Fat tails and network interlinkages of crude oil and cryptocurrency during the COVID-19 health crisis. Journal of Economic Studies, 50(5), 1087-1104.
  • Haas, M., & Pigorsch, C. (2009). Financial Economics, Fat-Tailed Distributions. Encyclopedia of Complexity and Systems Science, 4(1), 3404-3435.
  • Hagerman, R. L. (1978). More evidence on the distribution of security returns. The journal of finance, 33(4), 1213-1221.
  • Hall, J. A., Brorsen, B. W., & Irwin, S. H. (1989). The distribution of futures prices: A test of the stable Paretian and mixture of normals hypotheses. Journal of Financial and Quantitative Analysis, 24(1), 105-116.
  • Hedström, A. P., Uddin, G. S., Rahman, M. L., & Sjö, B. (2024). Systemic risk in the Scandinavian banking sector. International Journal of Finance & Economics, 29(1), 581-608.
  • Hendricks, D. (1996). Evaluation of value-at-risk models using historical data. Economic policy review, 2(1).
  • Hoga, Y., & Demetrescu, M. (2023). Monitoring value-at-risk and expected shortfall forecasts. Management Science, 69(5), 2954-2971.
  • Hsu, D. A., Miller, R. B., & Wichern, D. W. (1974). On the stable Paretian behavior of stock-market prices. Journal of the American Statistical Association, 69(345), 108-113.
  • Jorion, P. (1996). Risk 2: Measuring the risk in value at risk. Financial Analysts Journal, 52(6), 47-56.
  • Jorion, P. (2002). How informative are value‐at‐risk disclosures? The Accounting Review, 77(4), 911-931.
  • Kuester, K., Mittnik, S., & Paolella, M. S. (2006). Value-at-risk prediction: A comparison of alternative strategies. Journal of Financial Econometrics, 4(1), 53-89.
  • Lanne, M., Liu, K., & Luoto, J. (2023). Identifying structural vector autoregression via leptokurtic economic shocks. Journal of Business & Economic Statistics, 41(4), 1341-1351.
  • Lau, A. H. L., Lau, H. S., & Wingender, J. R. (1990). The distribution of stock returns: New evidence against the stable model. Journal of Business & Economic Statistics, 8(2), 217-223.
  • Linsmeier, T. J., & Pearson, N. (1996). Risk Measurement: An Introduction to Value at Risk. University Library of Munich, Germany.
  • Lu, J. R., & Chen, C. C. (2010). Effect of oil price risk on systematic risk from transportation services industry evidence. The Service Industries Journal, 30(11), 1853-1870.
  • Lu, J. R., & Chen, C. C. (2010). Effect of oil price risk on systematic risk from transportation services industry evidence. The Service Industries Journal, 30(11), 1853-1870.
  • Maciel, L. (2021). Cryptocurrencies value‐at‐risk and expected shortfall: Do regime‐switching volatility models improve forecasting? International Journal of Finance & Economics, 26(3), 4840-4855.
  • Mahmoud, I., & Naoui, K. (2017). Measuring systematic and specific risk: Approach mean-entropy. Asian Journal of Empirical Research, 7(3), 42-60.
  • Mahmoud, I., & Naoui, K. (2017). Measuring systematic and specific risk: Approach mean-entropy. Asian Journal of Empirical Research, 7(3), 42-60.
  • Manganelli, S., & Engle, R. F. (2001). Value at risk models in finance.
  • Moore, D. S. and McCabe, G. P. Introduction to the Practice of Statistics, 3rd ed. New York: W. H. Freeman, 1999.
  • Moser, C. (2018). Tail event probability for different distribution functions: A comparison (Bachelor's thesis, Humboldt-Universität zu Berlin).
  • O’Regan, M. (2011). On the edge of chaos: European aviation and disrupted mobilities. Mobilities, 6(1), 21-30.
  • Peng, S., Yang, S., & Yao, J. (2023). Improving value-at-risk prediction under model uncertainty. Journal of Financial Econometrics, 21(1), 228-259.
  • Goldie, C. M., & Grübel, R. (1996). Perpetuities with thin tails. Advances in Applied Probability, 28(2), 463-480.
  • Perry, P. R. (1983). More evidence on the nature of the distribution of security returns. Journal of Financial and Quantitative Analysis, 18(2), 211-221.
  • Pindyck, R. S. (2011). Fat tails, thin tails, and climate change policy. Review of Environmental Economics and Policy.
  • Praetz, P. D. (1972). The distribution of share price changes. Journal of Business, 49-55.
  • Rabemananjara, R., & Zakoian, J. M. (1993). Threshold ARCH models and asymmetries in volatility. Journal of Applied Econometrics, 8(1), 31-49.
  • Sarraj, M., & Ben Mabrouk, A. (2021). The Systematic Risk at the Crisis—A Multifractal Non-Uniform Wavelet
  • Systematic Risk Estimation. Fractal and Fractional, 5(4), 135.
  • Stoyanov, S. V., Rachev, S. T., Racheva-Iotova, B., & Fabozzi, F. J. (2011). Fat-tailed models for risk estimation (No. 30). KIT Working Paper Series in Economics.
  • Taneja, N. K. (1990). Introduction to Civil Aviation. Journal of Aviation/Aerospace Education & Research, 1(1), 3.
  • Tri, H. T. and Nga, V. T. (2019). Factors affecting the disparity between Vietnamese gold prices and worldwide gold prices. Journal of Competitiveness, 11(3), 160-172. https://doi.org/10.7441/joc.2019.03.10,
  • Yu, D. (2021). Divergence of Aviation Finance Markets: Lulls Before the Storm or Growth? Journal of Structured Finance, 27(3), 9-17.
  • Zhong, L., Cheng, L., Xu, H., Wu, Y., Chen, Y., & Li, M. (2016). Segmentation of individual trees from TLS and MLS data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 774-787.
Toplam 58 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Olcay Ölçen 0000-0002-4835-1171

Yayımlanma Tarihi 22 Haziran 2025
Gönderilme Tarihi 25 Eylül 2024
Kabul Tarihi 7 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 6 Sayı: 1

Kaynak Göster

APA Ölçen, O. (2025). The Importance of Market Returns in Financial Return Analysis: US Air Carriers. Journal of Business and Trade, 6(1), 20-33. https://doi.org/10.58767/joinbat.1556001