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COVID-Induced Investor Sentiments and Market Reaction under Extreme Meteorological Conditions: Evidence from Clean Energy Sector of Asia-Pacific

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PL
Nastroje inwestorów wywołane przez COVID-19 i reakcje rynku w ekstremalnych warunkach meteorologicznych:dowody z sektora czystej energii w regionie Azji i Pacyfiku
Języki publikacji
EN
Abstrakty
EN
The unprecedented global economic and social crisis caused by the coronavirus outbreak has not spared the energy sector. Using a dynamic model, we investigated the effect of COVID-19 cases on investor sentiments and stock returns of clean energy in the Asian-Pacific region. The results show that coronavirus cases negatively affect stock returns using investor sentiments as a transmission channel. We also find a negative effect of air pollution on stock returns. Since COVID-19 restricted trade and plummeted the oil prices, economies relied on non-renewable sources to meet energy demands. Nevertheless, the investor’s optimism and high sentiment level may deteriorate this link. On the other hand, we do not find any significant effect of low-high temperature on either investor sentiments or clean energy stock returns. Clean energy stocks were viewed as more sustainable and less vulnerable to external shocks, however, the fear and pessimism among investors induced by corona-virus are spilled over the renewable energy sector.
PL
Bezprecedensowy globalny kryzys gospodarczy i społeczny wywołany wybuchem koronawirusa uderzył także w sektor energetyczny. Korzystając z modelu dynamicznego, zbadaliśmy wpływ COVID-19 na nastroje inwestorów i stopy zwrotu w sektorze czystej energii w regionie Azji i Pacyfiku. Odkąd COVID-19 wpłynął negatyw-nie na handel i przyczynił się do gwałtownego spadku ceny ropy, wiele gospodarek wsparło odnawialne źródła energii, aby zaspokoić zapotrzebowanie na energię. Wyniki pokazują jednak, że koronawirus negatywnie wpływa na stopy zwrotu. Stwierdzamy również negatywny wpływ zanieczyszczenia powietrza na stopy zwrotu. Z drugiej strony nie widzimy istotnego wpływu zmian temperatury ani na nastroje inwestorów, ani na stopy zwrotu z czystej energii. Akcje czystej energii były postrzegane jako bardziej zrównoważone i mniej podatne na wstrząsy zewnętrzne, jednak strach i pesymizm inwestorów wywołany koronawirusem może wpłynąć nega-tywnie na sektor energii odnawialnej.
Czasopismo
Rocznik
Strony
7--15
Opis fizyczny
Bibliogr. 45 poz., tab.
Twórcy
autor
  • Department of Business Administration, Institute of Southern Punjab, 9-KM, Bosan Road, Khayab-e-Yusuf, Multan, Pakistan
  • School of Economics & Statistics, Guangzhou University, China
  • School of Management, Jiangsu University, China
  • School of Business Administration, Hunan University, Changsha, China
Bibliografia
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  • 2. AL-AWADHI A. M., AL-SAIFI K., AL-AWADHI A., ALHAMADI S., 2020, Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns, in: Journal of Behavioral and Experimental Finance, 100326.
  • 3. ALBULESCU C., 2020, Coronavirus and oil price crash, in: SSRN 3553452.
  • 4. ALBUQUERQUE R., KOSKINEN Y., YANG S., ZHANG C., 2020, Resiliency of environmental and social stocks: an analysis of the exogenous COVID19 market crash, in: The Review of Corporate Finance studies, cfaa011.
  • 5. ALI M., ALAM N., RIZVI S. A. R., 2020, Coronavirus (COVID-19) – An epidemic or pandemic for financial markets, in: Journal of Behavioral and Experimental Finance, 100341.
  • 6. ALONSO-BORREGO C., ARELLANO M., 1999. Symmetrically normalized instrumental-variable estimation using panel data, in: Journal of Business & Economic Statistics, 17(1), p. 36-49.
  • 7. APERGIS N., GABRIELSEN A., SMALES L. A., 2016, (Unusual) weather and stock returns – I am not in the mood for mood: further evidence from international markets, in: Financial Markets and Portfolio Management, 30(1), p. 63-94.
  • 8. ASHRAF B. N., 2020, Stock markets’ reaction to COVID-19: cases or fatalities?, in: Research in International Business and Finance, 101249.
  • 9. BAKER M., WURGLER J., 2006, Investor sentyment and the cross‐section of stock returns, in: The journal of Finance, 61(4), p. 1645-1680.
  • 10. BALTAGI B. H. (ed.), 2015, The Oxford handbook of panel data, Oxford Handbooks.
  • 11. BI J., ZHU Y., 2020, Value at risk, cross-sectional returns and the role of investor sentiment, in: Journal of Empirical Finance, 56, p. 1-18.
  • 12. BIROL F., 2020, The coronavirus crisis reminds us that electricity is more indispensable than ever, International Energy Agency.
  • 13. BLUNDELL R., BOND S., 1998, Initial conditions and moment restrictions in dynamic panel data models, in: Journal of econometrics, 87(1), p. 115-143.
  • 14. BOURDEAU-BRIEN M., KRYZANOWSKI L., 2017, The impact of natural disasters on the stock returns and volatilities of local firms, in: The Quarterly Review of Economics and Finance, 63, p. 259-270.
  • 15. COHEN M. J., 2020, Does the COVID-19 outbreak mark the onset of a sustainable consumption transition?, in: Sustainability: Science, Practice and Policy, 16(1).
  • 16. COIBION O., GORODNICHENKO Y., WEBER M., 2020, The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending (No. w27141), National Bureau of Economic Research.
  • 17. CROSS F., 1973, The behavior of stock prices on Fridays and Mondays, in: Financial analysts journal, 29(6), p. 67-69.
  • 18. DEVI S., 2020, Travel restrictions hampering COVID-19 response, in: The Lancet, 395(10233), p. 1331-1332.
  • 19. DING X., GUO M., YANG T., 2020, Air Pollution, Local Bias, and Stock Returns, in: Finance Research Letters, 101576.
  • 20. DOWLING M., LUCEY B. M., 2008, Robust global mood influences in equity pricing, in: Journal of Multinational Financial Management, 18(2), p. 145-164.
  • 21. FLOROS C., 2011, On the relationship between weather and stock market returns, in: Studies in Economics and Finance, 28(1), p. 5-13.
  • 22. HENS T., RIEGE M. O., 2016, Financial economics:A concise introduction to classical and behavioral finance, Springer, New York.
  • 23. ICHEV R., MARINC M., 2018, Stock prices and geographic proximity of information: Evidence from the Ebola outbreak, in: International Review of Financial Analysis, 56, p. 153-166.
  • 24. IEA, 2020, Covid-19 impact on electricity, httpps://www.iea.org/reports/covid-19-impact-on-electricity, (1.09.2020).
  • 25. KAMSTRA M. J., KRAMER L. A., LEVI M. D., 2000, Losing sleep at the market: The daylight saving anomaly, in: American Economic Review, 90(4), p. 1005-1011.
  • 26. KANDA W., KIVIMAA P., 2020, What opportunities could the COVID-19 outbreak offer for sustainability transitions research on electricity and mobility?, in: Energy Research & Social Science, 68, 101666.
  • 27. KAPLANSKI G., LEVY H., 2010, Sentiment and stock prices: The case of aviation disasters, in: Journal of Financial Economics, 95(2), p. 174-201.
  • 28. LEPORI G. M., 2016, Air pollution and stock returns: Evidence from a natural experiment, in: Journal of Empirical Finance, 35, p. 25-42.
  • 29. LI Q., PENG C. H., 2016, The stock market effect of air pollution: evidence from China, in: Applied Economics, 48(36), p. 3442-3461.
  • 30. LIU H., MANZOOR A., WANG C., ZHANG L., MANZOOR Z., 2020, The COVID-19 Outbreak and Affected Countries Stock Markets Response, in: International Journal of Environmental Research and Public Health, 17(8), 2800.
  • 31. MCGURK Z., NOWAK A., HALL J. C., 2020, Stock returns and investor sentiment: textual analysis and social media, in: Journal of Economics and Finance, 44, p. 458-485.
  • 32. MYLENKA T., NOVYK B., 2020, Impact of Covid19 on the global energy sector, in: PV Magazine, https://www.pv-magazine.com/2020/04/24/impactof-covid-19-on-the-global-energy-sector/ (1.09.2020).
  • 33. OMRI A., NGUYEN D. K., 2014, On the determinants of renewable energy consumption: International evidence, in: Energy, 72, p. 554-560.
  • 34. PAPAKYRIAKOU P., SAKKAS A., TAOUSHIANIS Z., 2019, The impact of terrorist attacks in G7 countries on international stock markets and the role of investor sentiment, in: Journal of International Financial Markets, Institutions and Money, 61, p. 143- 160.
  • 35. QIANG Z., SHU-E, Y., 2009, Noise trading, investor sentiment volatility, and stock returns, in: Systems Engineering-Theory & Practice, 29(3), p. 40-47.
  • 36. ROODMAN D., 2009, A note on the theme of too many instruments, in: Oxford Bulletin of Economics and statistics, 71(1), p. 135-158.
  • 37. SEOK S. I., CHO H., RYU D., 2019, Firm-specific investor sentiment and daily stock returns, in: The North American Journal of Economics and Finance, 50, 100857.
  • 38. SHEIKH M. F., SHAH S.Z.A., MAHMOOD S., 2017, Weather effects on stock returns and volatility in South Asian markets, in: Asia-Pacific Financial Markets, 24(2), p. 75-107.
  • 39. SOHRABI C., ALSAFI Z., O’NEILL N., KHAN M., KERWAN A., AL-JABIR A., AGHA R., ET AL., 2020, World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19), in: International Journal of Surgery, 76, p. 71-76.
  • 40. WOOLDRIDGE J. M., 2010, Econometric analysis of cross section and panel data, MIT press. 41. WU Q., HAO Y., LU J., 2018, Air pollution, stock returns, and trading activities in China, Pacific-Basin Finance Journal, 51, p. 342-365.
  • 42. YAHYA F., RAFIQ M., 2019, Unraveling the contemporary drivers of renewable energy consumption: Evidence from regime types, in: Environmental Progress & Sustainable Energy, 38(5), 13178.
  • 43. YAHYA F., RAFIQ M., 2020, The Influence of Air Pollution and Clean Energy on Tuberculosis: The Moderating Role of Urbanization, in: Iranian Journal of Public Health, 49(6), p. 1106-1111.
  • 44. YONGJIAN Z., JINGU X., FENGMING H., LIQING C., 2020, Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China, in: Science of the total environment, 138704.
  • 45. ZHANG D., HU M., JI Q., 2020, Financial markets under the global pandemic of COVID-19, in: Finance Research Letters, 101528.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-870e6199-8a90-44e0-867c-2607767f180f
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