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Understanding how ESG-focused airlines reduce the impact of the COVID-19 pandemic on stock returns

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  • Chen, Chun-Da
  • Su, Ching-Hui (Joan)
  • Chen, Ming-Hsiang

Abstract

Incorporating environmental-social-governance (ESG) into a company's operations is an innovation strategy for contemporary businesses and a countermeasure for airline companies under COVID-19's influence. This research employs an autoregressive jump intensity trend (ARJI-trend) model to analyze the effects of COVID-19 and ESG ratings on the stock performance of the U.S. airline industry. We find that the ARJI-trend model captures the short- and long-run impacts of COVID-19 and ESG on stock return dynamics. Moreover, short-run stock return volatility converges to the original equilibrium level faster when a company has a higher ESG score, implying that promoting ESG does offer a defense mechanism to airline companies and that ESG performance is suitable for integration into business operational goals. The results lay the groundwork for understanding how an ESG focus might help airline companies to suffer less of an economic/financial impact during crises such as the COVID-19 pandemic.

Suggested Citation

  • Chen, Chun-Da & Su, Ching-Hui (Joan) & Chen, Ming-Hsiang, 2022. "Understanding how ESG-focused airlines reduce the impact of the COVID-19 pandemic on stock returns," Journal of Air Transport Management, Elsevier, vol. 102(C).
    • Handle: RePEc:eee:jaitra:v:102:y:2022:i:c:s0969699722000503
    DOI: 10.1016/j.jairtraman.2022.102229
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    1. Fatemi, Ali & Glaum, Martin & Kaiser, Stefanie, 2018. "ESG performance and firm value: The moderating role of disclosure," Global Finance Journal, Elsevier, vol. 38(C), pages 45-64.
    2. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    3. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Fabio & Spagnolo, Nicola, 2017. "International portfolio flows and exchange rate volatility in emerging Asian markets," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 1-15.
    4. Tobias Adrian & Joshua Rosenberg, 2008. "Stock Returns and Volatility: Pricing the Short‐Run and Long‐Run Components of Market Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2997-3030, December.
    5. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    6. Normandin, Michel & Phaneuf, Louis, 2004. "Monetary policy shocks:: Testing identification conditions under time-varying conditional volatility," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1217-1243, September.
    7. Yan, Shu, 2011. "Jump risk, stock returns, and slope of implied volatility smile," Journal of Financial Economics, Elsevier, vol. 99(1), pages 216-233, January.
    8. Kuttu, Saint, 2017. "Time-varying conditional discrete jumps in emerging African equity markets," Global Finance Journal, Elsevier, vol. 32(C), pages 35-54.
    9. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    10. Birte Freudenreich & Florian Lüdeke-Freund & Stefan Schaltegger, 2020. "A Stakeholder Theory Perspective on Business Models: Value Creation for Sustainability," Journal of Business Ethics, Springer, vol. 166(1), pages 3-18, September.
    11. John M. Maheu & Thomas H. McCurdy, 2004. "News Arrival, Jump Dynamics, and Volatility Components for Individual Stock Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 755-793, April.
    12. Yu Shan Wang, 2013. "The impact of crisis events on the stock returns volatility of international airlines," The Service Industries Journal, Taylor & Francis Journals, vol. 33(12), pages 1206-1217, September.
    13. Steen Koekebakker & Gudbrand Lien, 2004. "Volatility and Price Jumps in Agricultural Futures Prices—Evidence from Wheat Options," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1018-1031.
    14. Daal, Elton & Naka, Atsuyuki & Yu, Jung-Suk, 2007. "Volatility clustering, leverage effects, and jump dynamics in the US and emerging Asian equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2751-2769, September.
    15. Chen, Chun-Da & Chiang, Shu-Mei & Huang, Tze-Chin, 2020. "The contagion effects of volatility indices across the U.S. and Europe," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    16. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    17. Chiang, Shu-Mei & Chen, Chun-Da & Huang, Chien-Ming, 2019. "Analyzing the impacts of foreign exchange and oil price on biofuel commodity futures," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 37-48.
    18. Broadstock, David C. & Matousek, Roman & Meyer, Martin & Tzeremes, Nickolaos G., 2020. "Does corporate social responsibility impact firms' innovation capacity? The indirect link between environmental & social governance implementation and innovation performance," Journal of Business Research, Elsevier, vol. 119(C), pages 99-110.
    19. Søren Tolver Jensen & Anders Rahbek, 2004. "Asymptotic Normality of the QMLE Estimator of ARCH in the Nonstationary Case," Econometrica, Econometric Society, vol. 72(2), pages 641-646, March.
    20. Chollet, Pierre & Sandwidi, Blaise W., 2018. "CSR engagement and financial risk: A virtuous circle? International evidence," Global Finance Journal, Elsevier, vol. 38(C), pages 65-81.
    21. Marco Haase & Yvonne Seiler Zimmermann & Heinz Zimmermann, 2019. "Permanent and transitory price shocks in commodity futures markets and their relation to speculation," Empirical Economics, Springer, vol. 56(4), pages 1359-1382, April.
    22. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
    23. Pierre Chollet & Blaise Sandwidi, 2018. "CSR engagement and financial risk: A virtuous circle? International evidence," Post-Print hal-02048716, HAL.
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    Citations

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    Cited by:

    1. Ioannis Passas & Konstantina Ragazou & Eleni Zafeiriou & Alexandros Garefalakis & Constantin Zopounidis, 2022. "ESG Controversies: A Quantitative and Qualitative Analysis for the Sociopolitical Determinants in EU Firms," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
    2. Hamzeh F. Assous, 2022. "Saudi Green Banks and Stock Return Volatility: GLE Algorithm and Neural Network Models," Economies, MDPI, vol. 10(10), pages 1-18, October.
    3. Gum-Kwang Bae & Sang-Mook Lee & Bui-Kim Luan, 2023. "The Impact of ESG on Brand Trust and Word of Mouth in Food and Beverage Companies: Focusing on Jeju Island Tourists," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    4. Yin Shi & Xiaoni Li & Maher Asal, 2023. "Impact of sustainability on financial distress in the air transport industry: the moderating effect of Asia–Pacific," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    5. Cássio Zanatto & Margarida Catalão‐Lopes & Joaquim P. Pina & Inês Carrilho‐Nunes, 2023. "The impact of ESG news on the volatility of the Portuguese stock market—Does it change during recessions?," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5821-5832, December.
    6. Riccardo Savio & Edoardo D’Andrassi & Francesca Ventimiglia, 2023. "A Systematic Literature Review on ESG during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    7. Ștefan Rusu & Marcel Ioan Boloș & Marius Leordeanu, 2023. "K-means and agglomerative hierarchical clustering analysis of esg scores, yearly variations, and stock returns: insights from the energy sector in Europe and the United States," Journal of Financial Studies, Institute of Financial Studies, vol. 8(Special-J), pages 166-180, June.

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    More about this item

    Keywords

    Environmental-social-governance; ESG; Risk management; Autoregressive jump intensity trend model; COVID-19;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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