Skip to main content
Top

2022 | OriginalPaper | Chapter

Economic Sentiment and Climate Transition During the COVID-19 Pandemic

Authors : Gideon Ndubuisi, Denis Yuni, Ernest Ngeh Tingum

Published in: Financial Market Dynamics after COVID 19

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper analyzes the dependence between a newspaper-based economic sentiment index of the United States and four climate-themed financial indices since the outbreak of the COVID-19 pandemic. We use the quantile cross-spectral technique of Barunik and Kley (The Econometrics Journal 22:131–152, 2019), which allows dependence to vary across different time horizons and market conditions. Results show that when market conditions were very poor, dependence is strongest between economic sentiment and green bonds index in the intermediate time. However, under normal market returns, results show a similar pattern of increased dependence across the weekly, monthly and yearly cycles for all the climate-themed indices except green bonds. Besides, at the peak of the COVID-19 pandemic, normal returns dependence with economic sentiment was mostly positive and stronger than the lower and higher quantiles. Lastly, the strongest dependence under the 0.05|0.95 quantiles during the peak of COVID-19 pandemic occurred with green bonds in the short-term.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Aguilar, P., Ghirelli, C., Pacce, M., & Urtasun, A. (2021). Can news help measure economic sentiment? An application in COVID-19 times. Economics Letters, 199, 109730.CrossRef Aguilar, P., Ghirelli, C., Pacce, M., & Urtasun, A. (2021). Can news help measure economic sentiment? An application in COVID-19 times. Economics Letters, 199, 109730.CrossRef
go back to reference Asur, S., & Huberman, B. A. (2010). Predicting the future with social media. In 2010 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology (Vol. 1, pp. 492–499). IEEE. Asur, S., & Huberman, B. A. (2010). Predicting the future with social media. In 2010 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology (Vol. 1, pp. 492–499). IEEE.
go back to reference Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross section of stock returns. The Journal of Finance, 61(4), 1645–1680.CrossRef Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross section of stock returns. The Journal of Finance, 61(4), 1645–1680.CrossRef
go back to reference Balcilar, M., Bouri, E., Gupta, R., & Kyei, C. K. (2020). High-frequency predictability of housing market movements of the United States: The role of economic sentiment. Journal of Behavioral Finance, 1–9. Balcilar, M., Bouri, E., Gupta, R., & Kyei, C. K. (2020). High-frequency predictability of housing market movements of the United States: The role of economic sentiment. Journal of Behavioral Finance, 1–9.
go back to reference Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307–343.CrossRef Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307–343.CrossRef
go back to reference Baruník, J., & Kley, T. (2019). Quantile coherency: A general measure for dependence between cyclical economic variables. The Econometrics Journal, 22(2), 131–152.CrossRef Baruník, J., & Kley, T. (2019). Quantile coherency: A general measure for dependence between cyclical economic variables. The Econometrics Journal, 22(2), 131–152.CrossRef
go back to reference Bessec, M., & Fouquau, J. (2020). Green sentiment in financial markets: A global warning. Available at SSRN 3710489. Bessec, M., & Fouquau, J. (2020). Green sentiment in financial markets: A global warning. Available at SSRN 3710489.
go back to reference Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1–8.CrossRef Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1–8.CrossRef
go back to reference Boroumand, R. H., Porcher, T., & Urom, C. (2021). Negative oil price shocks transmission: the comparative effects of the GFC, shale oil boom, and Covid-19 downturn on French gasoline prices. Research in International Business and Finance, 101455. Boroumand, R. H., Porcher, T., & Urom, C. (2021). Negative oil price shocks transmission: the comparative effects of the GFC, shale oil boom, and Covid-19 downturn on French gasoline prices. Research in International Business and Finance, 101455.
go back to reference Broadstock, D. C., & Cheng, L. T. (2019). Time-varying relation between black and green bond price benchmarks: Macroeconomic determinants for the first decade. Finance Research Letters, 29, 17–22.CrossRef Broadstock, D. C., & Cheng, L. T. (2019). Time-varying relation between black and green bond price benchmarks: Macroeconomic determinants for the first decade. Finance Research Letters, 29, 17–22.CrossRef
go back to reference Broock, W. A., Scheinkman, J. A., Dechert, W. D., & LeBaron, B. (1996). A test for independence based on the correlation dimension. Econometric Reviews, 15(3), 197–235.CrossRef Broock, W. A., Scheinkman, J. A., Dechert, W. D., & LeBaron, B. (1996). A test for independence based on the correlation dimension. Econometric Reviews, 15(3), 197–235.CrossRef
go back to reference Brown, G. W., & Cliff, M. T. (2005). Investor sentiment and asset valuation. The Journal of Business, 78(2), 405–440.CrossRef Brown, G. W., & Cliff, M. T. (2005). Investor sentiment and asset valuation. The Journal of Business, 78(2), 405–440.CrossRef
go back to reference Buckman, S. R., Shapiro, A. H., Sudhof, M., & Wilson, D. J. (2020). News sentiment in the time of COVID-19. FRBSF Economic Letter, 8, 1–05. Buckman, S. R., Shapiro, A. H., Sudhof, M., & Wilson, D. J. (2020). News sentiment in the time of COVID-19. FRBSF Economic Letter, 8, 1–05.
go back to reference Caldecott, B. (2020). Defining transition finance and embedding it in the post-Covid-19 recovery. Journal of Sustainable Finance & Investment, 1–5. Caldecott, B. (2020). Defining transition finance and embedding it in the post-Covid-19 recovery. Journal of Sustainable Finance & Investment, 1–5.
go back to reference Calomiris, C. W., & Mamaysky, H. (2019). How news and its context drive risk and returns around the world. Journal of Financial Economics, 133(2), 299–336.CrossRef Calomiris, C. W., & Mamaysky, H. (2019). How news and its context drive risk and returns around the world. Journal of Financial Economics, 133(2), 299–336.CrossRef
go back to reference Chien, F., Sadiq, M., Kamran, H. W., Nawaz, M. A., Hussain, M. S., & Raza, M. (2021). Comovement of energy prices and stock market return: Environmental wavelet nexus of COVID-19 pandemic from the USA, Europe, and China. Environmental Science and Pollution Research, 1–15. Chien, F., Sadiq, M., Kamran, H. W., Nawaz, M. A., Hussain, M. S., & Raza, M. (2021). Comovement of energy prices and stock market return: Environmental wavelet nexus of COVID-19 pandemic from the USA, Europe, and China. Environmental Science and Pollution Research, 1–15.
go back to reference Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor psychology and security market under-and overreactions. Journal of Finance, 53(6), 1839–1885.CrossRef Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor psychology and security market under-and overreactions. Journal of Finance, 53(6), 1839–1885.CrossRef
go back to reference De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703–738.CrossRef De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703–738.CrossRef
go back to reference Gan, B., Alexeev, V., Bird, R., & Yeung, D. (2020). Sensitivity to sentiment: News vs social media. International Review of Financial Analysis, 67, 101390.CrossRef Gan, B., Alexeev, V., Bird, R., & Yeung, D. (2020). Sensitivity to sentiment: News vs social media. International Review of Financial Analysis, 67, 101390.CrossRef
go back to reference Garcia, D. (2013). Sentiment during recessions. The Journal of Finance, 68(3), 1267–1300.CrossRef Garcia, D. (2013). Sentiment during recessions. The Journal of Finance, 68(3), 1267–1300.CrossRef
go back to reference He, Q., Liu, J., Wang, S., & Yu, J. (2020). The impact of COVID-19 on stock markets. Economic and Political Studies, 8(3), 275–288.CrossRef He, Q., Liu, J., Wang, S., & Yu, J. (2020). The impact of COVID-19 on stock markets. Economic and Political Studies, 8(3), 275–288.CrossRef
go back to reference Hudson, Y., & Green, C. J. (2015). Is investor sentiment contagious? International sentiment and UK equity returns. Journal of Behavioral and Experimental Finance, 5, 46–59.CrossRef Hudson, Y., & Green, C. J. (2015). Is investor sentiment contagious? International sentiment and UK equity returns. Journal of Behavioral and Experimental Finance, 5, 46–59.CrossRef
go back to reference Khelifa, S. B., Guesmi, K., & Urom, C. (2021). Exploring the relationship between cryptocurrencies and hedge funds during COVID-19 crisis. International Review of Financial Analysis, 76, 101777.CrossRef Khelifa, S. B., Guesmi, K., & Urom, C. (2021). Exploring the relationship between cryptocurrencies and hedge funds during COVID-19 crisis. International Review of Financial Analysis, 76, 101777.CrossRef
go back to reference Kim, S. H., & Kim, D. (2014). Investor sentiment from internet message postings and the predictability of stock returns. Journal of Economic Behavior & Organization, 107, 708–729.CrossRef Kim, S. H., & Kim, D. (2014). Investor sentiment from internet message postings and the predictability of stock returns. Journal of Economic Behavior & Organization, 107, 708–729.CrossRef
go back to reference Lee, H. S. (2020). Exploring the initial impact of COVID-19 sentiment on US stock market using big data. Sustainability, 12(16), 6648.CrossRef Lee, H. S. (2020). Exploring the initial impact of COVID-19 sentiment on US stock market using big data. Sustainability, 12(16), 6648.CrossRef
go back to reference Lehrer, S., Xie, T., & Zhang, X. (2021). Social media sentiment, model uncertainty, and volatility forecasting. Economic Modelling, 102, 105556.CrossRef Lehrer, S., Xie, T., & Zhang, X. (2021). Social media sentiment, model uncertainty, and volatility forecasting. Economic Modelling, 102, 105556.CrossRef
go back to reference Liu, S. (2015). Investor sentiment and stock market liquidity. Journal of Behavioral Finance, 16(1), 51–67.CrossRef Liu, S. (2015). Investor sentiment and stock market liquidity. Journal of Behavioral Finance, 16(1), 51–67.CrossRef
go back to reference López-Cabarcos, M., Pérez-Pico, A. M., & López-Pérez, M. L. (2019). Does social network sentiment influence S&P 500 environmental & socially responsible index? Sustainability, 11(2), 320.CrossRef López-Cabarcos, M., Pérez-Pico, A. M., & López-Pérez, M. L. (2019). Does social network sentiment influence S&P 500 environmental & socially responsible index? Sustainability, 11(2), 320.CrossRef
go back to reference Maghyereh, A., & Abdoh, H. (2020). Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach. International Review of Financial Analysis, 71, 101545.CrossRef Maghyereh, A., & Abdoh, H. (2020). Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach. International Review of Financial Analysis, 71, 101545.CrossRef
go back to reference Maghyereh, A., & Abdoh, H. (2021). Tail dependence between gold and Islamic securities. Finance Research Letters, 38, 101503. Maghyereh, A., & Abdoh, H. (2021). Tail dependence between gold and Islamic securities. Finance Research Letters, 38, 101503.
go back to reference Mendel, B., & Shleifer, A. (2012). Chasing noise. Journal of Financial Economics, 104(2), 303–320.CrossRef Mendel, B., & Shleifer, A. (2012). Chasing noise. Journal of Financial Economics, 104(2), 303–320.CrossRef
go back to reference Mittal, A., & Goel, A. (2012). Stock prediction using twitter sentiment analysis. Standford University, , p. 15. Mittal, A., & Goel, A. (2012). Stock prediction using twitter sentiment analysis. Standford University, , p. 15.
go back to reference Mzoughi, H., Urom, C., Uddin, G. S., & Guesmi, K. (2020). The effects of COVID-19 pandemic on oil prices, CO2 emissions and the stock market: Evidence from a VAR model. SSRN Electronic Journal, 2020, 1–8. Mzoughi, H., Urom, C., Uddin, G. S., & Guesmi, K. (2020). The effects of COVID-19 pandemic on oil prices, CO2 emissions and the stock market: Evidence from a VAR model. SSRN Electronic Journal, 2020, 1–8.
go back to reference Nguyen, T. H., Shirai, K., & Velcin, J. (2015). Sentiment analysis on social media for stock movement prediction. Expert Systems with Applications, 42(24), 9603–9611.CrossRef Nguyen, T. H., Shirai, K., & Velcin, J. (2015). Sentiment analysis on social media for stock movement prediction. Expert Systems with Applications, 42(24), 9603–9611.CrossRef
go back to reference Oh, C., & Sheng, O. (2011). Investigating predictive power of stock micro blog sentiment in forecasting future stock price directional movement. Oh, C., & Sheng, O. (2011). Investigating predictive power of stock micro blog sentiment in forecasting future stock price directional movement.
go back to reference Piñeiro-Chousa, J., López-Cabarcos, M. Á., Caby, J., & Šević, A. (2021). The influence of investor sentiment on the green bond market. Technological Forecasting and Social Change, 162, 120351.CrossRef Piñeiro-Chousa, J., López-Cabarcos, M. Á., Caby, J., & Šević, A. (2021). The influence of investor sentiment on the green bond market. Technological Forecasting and Social Change, 162, 120351.CrossRef
go back to reference Piñeiro-Chousa, J., López-Cabarcos, M. Á., Pérez-Pico, A. M., & Ribeiro-Navarrete, B. (2018). Does social network sentiment influence the relationship between the S&P 500 and gold returns? International Review of Financial Analysis, 57, 57–64.CrossRef Piñeiro-Chousa, J., López-Cabarcos, M. Á., Pérez-Pico, A. M., & Ribeiro-Navarrete, B. (2018). Does social network sentiment influence the relationship between the S&P 500 and gold returns? International Review of Financial Analysis, 57, 57–64.CrossRef
go back to reference Ranco, G., Aleksovski, D., Caldarelli, G., Grčar, M., & Mozetič, I. (2015). The effects of Twitter sentiment on stock price returns. PLoS One, 10(9), e0138441.CrossRef Ranco, G., Aleksovski, D., Caldarelli, G., Grčar, M., & Mozetič, I. (2015). The effects of Twitter sentiment on stock price returns. PLoS One, 10(9), e0138441.CrossRef
go back to reference Shiller, R. C. (2000). Irrational exuberance. Philosophy and Public Policy Quarterly, 20(1), 18–23. Shiller, R. C. (2000). Irrational exuberance. Philosophy and Public Policy Quarterly, 20(1), 18–23.
go back to reference Taghizadeh-Hesary, F., Yoshino, N., & Phoumin, H. (2021). Analyzing the characteristics of Green Bond Markets to Facilitate Green Finance in the post-COVID-19 world. Sustainability, 13(10), 5719.CrossRef Taghizadeh-Hesary, F., Yoshino, N., & Phoumin, H. (2021). Analyzing the characteristics of Green Bond Markets to Facilitate Green Finance in the post-COVID-19 world. Sustainability, 13(10), 5719.CrossRef
go back to reference Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3), 1139–1168.CrossRef Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3), 1139–1168.CrossRef
go back to reference Urom, C., Mzoughi, H., Abid, I., & Brahim, M. (2021). Green markets integration in different time scales: A regional analysis. Energy Economics, 98, 105254.CrossRef Urom, C., Mzoughi, H., Abid, I., & Brahim, M. (2021). Green markets integration in different time scales: A regional analysis. Energy Economics, 98, 105254.CrossRef
go back to reference Weber, O., & Saravade, V. (2019). Green bonds: current development and their future. CIGI Papers, (210). Weber, O., & Saravade, V. (2019). Green bonds: current development and their future. CIGI Papers, (210).
go back to reference Ye, J., & Xue, M. (2021). Influences of sentiment from news articles on EU carbon prices. Energy Economics, 105393. Ye, J., & Xue, M. (2021). Influences of sentiment from news articles on EU carbon prices. Energy Economics, 105393.
go back to reference You, J., & Wu, J. (2012). Spiral of silence: Media sentiment and the asset mispricing. Economic Research Journal, 7(2), 141–152. You, J., & Wu, J. (2012). Spiral of silence: Media sentiment and the asset mispricing. Economic Research Journal, 7(2), 141–152.
go back to reference Zhang, W., Li, X., Shen, D., & Teglio, A. (2016). Daily happiness and stock returns: Some international evidence. Physica A: Statistical Mechanics and its Applications, 460, 201–209.CrossRef Zhang, W., Li, X., Shen, D., & Teglio, A. (2016). Daily happiness and stock returns: Some international evidence. Physica A: Statistical Mechanics and its Applications, 460, 201–209.CrossRef
go back to reference Zhang, X., Fuehres, H., & Gloor, P. A. (2011). Predicting stock market indicators through twitter “I hope it is not as bad as I fear”. Procedia-Social and Behavioral Sciences, 26, 55–62.CrossRef Zhang, X., Fuehres, H., & Gloor, P. A. (2011). Predicting stock market indicators through twitter “I hope it is not as bad as I fear”. Procedia-Social and Behavioral Sciences, 26, 55–62.CrossRef
Metadata
Title
Economic Sentiment and Climate Transition During the COVID-19 Pandemic
Authors
Gideon Ndubuisi
Denis Yuni
Ernest Ngeh Tingum
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-98542-4_7