The relationship between stock market and inflation in the period of COVID-19 and Ukrainian war: Evidence from Greece

Sofia Karagiannopoulou, Nikolaos Sariannidis

Article ID: 5692
Vol 8, Issue 8, 2024

VIEWS - 115 (Abstract) 136 (PDF)

Abstract


This study explores the interactions between inflation and stock market. We carried out a bibliometric analysis with R package to highlight the worldwide research trends in the field, covering the period of three crises (financial, health crisis and war of Ukraine). Next, using monthly data for the period from 1 March 2020 to 31 August 2023 and based on a vector autoregressive model, impulse response and variance decomposition are performed to explore the dynamic relationships between inflation and Greek stock market. The results reveal the existence of high volatility in Athens’ stock market during COVID-19 pandemic, owning to a shock of the inflation. Regarding the period of Ukrainian war, the study verified the Fama’s hypothesis that there is a negative relationship between inflation and stock returns. The findings have significant implications for investors and policy makers.


Keywords


inflation; stock market; Greece; volatility; vector autoregressive; impulse response

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References


Adam, K., & Billi, R. M. (2004). Optimal Monetary Policy Under Commitment with a Zero Bound on Nominal Interest Rates. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.437141

Aliu, F., Hašková, S., & Bajra, U. Q. (2022). Consequences of Russian invasion on Ukraine: evidence from foreign exchange rates. The Journal of Risk Finance, 24(1), 40–58. https://doi.org/10.1108/jrf-05-2022-0127

Apergis, N., & Eleftheriou, S. (2002). Interest rates, inflation, and stock prices: The case of the Athens Stock Exchange. Journal of Policy Modeling, 24(3): 231–236. https://doi.org/10.1016/S0161-8938(02)00105-9

Barton, B. H. (2010). The Theory. In: The Lawyer-Judge Bias in the American Legal System. Cambridge University Press. pp. 21–38.

Baker, S., Bloom, N., Davis, S., et al. (2020). COVID-Induced Economic Uncertainty. National Bureau of Economic Research. https://doi.org/10.3386/w26983

Bali, T. G., Brown, S. J., & Tang, Y. (2017). Is economic uncertainty priced in the cross-section of stock returns? Journal of Financial Economics, 126(3), 471–489. https://doi.org/10.1016/j.jfineco.2017.09.005

Benchimol, J., Saadon, Y., & Segev, N. (2023). Stock market reactions to monetary policy surprises under uncertainty. International Review of Financial Analysis, 89, 102783. https://doi.org/10.1016/j.irfa.2023.102783

Białkowski, J., Dang, H. D., & Wei, X. (2022). High policy uncertainty and low implied market volatility: An academic puzzle? Journal of Financial Economics, 143(3), 1185–1208. https://doi.org/10.1016/j.jfineco.2021.05.011

Bouri, E., Jain, A., Biswal, P. C., et al. (2017). Cointegration and nonlinear causality amongst gold, oil, and the Indian stock market: Evidence from implied volatility indices. Resources Policy, 52, 201–206. https://doi.org/10.1016/j.resourpol.2017.03.003

Bouri, E., Nekhili, R., Kinateder, H., et al. (2023). Expected inflation and U.S. stock sector indices: A dynamic time-scale tale from inflationary and deflationary crisis periods. Finance Research Letters, 55, 103845. https://doi.org/10.1016/j.frl.2023.103845

Časta, M. (2023). Inflation, interest rates and the predictability of stock returns. Finance Research Letters, 58, 104380. https://doi.org/10.1016/j.frl.2023.104380

Cavallo, A. (2020). Inflation with Covid Consumption Baskets Alberto Cavallo Working Paper 27352. https://www.nber.org/system/files/working_papers/w27352/w27352.pdf (accessed on 25 March 2024).

Cheema, M. A., Faff, R., & Szulczyk, K. R. (2022). The 2008 global financial crisis and COVID-19 pandemic: How safe are the safe haven assets? International Review of Financial Analysis, 83, 102316. https://doi.org/10.1016/j.irfa.2022.102316

Chen, C., Liu, L., & Zhao, N. (2020). Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19. Emerging Markets Finance and Trade, 56(10), 2298–2309. https://doi.org/10.1080/1540496x.2020.1787150

Chiang, T. C. (2023). Real stock market returns and inflation: Evidence from uncertainty hypotheses. Finance Research Letters, 53, 103606. https://doi.org/10.1016/j.frl.2022.103606

Chiang, T. C., & Chen, P. Y. (2023). Inflation risk and stock returns: Evidence from US aggregate and sectoral markets. The North American Journal of Economics and Finance, 68, 101986. https://doi.org/10.1016/j.najef.2023.101986

Çitçi, S. H., & Kaya, H. (2023). Exchange rate uncertainty and the connectedness of inflation. Borsa Istanbul Review, 23(3), 723–735. https://doi.org/10.1016/j.bir.2023.01.009

Danish, Wang, B., & Wang, Z. (2018). Imported technology and CO2 emission in China: Collecting evidence through bound testing and VECM approach. Renewable and Sustainable Energy Reviews, 82, 4204–4214. https://doi.org/10.1016/j.rser.2017.11.002

Dridi, I., & Boughrara, A. (2023). Flexible inflation targeting and stock market volatility: Evidence from emerging market economies. Economic Modelling, 126, 106420. https://doi.org/10.1016/j.econmod.2023.106420

Etokakpan, M. U., Solarin, S. A., Yorucu, V., et al. (2020). Modeling natural gas consumption, capital formation, globalization, CO2 emissions and economic growth nexus in Malaysia: Fresh evidence from combined cointegration and causality analysis. Energy Strategy Reviews, 31, 100526. https://doi.org/10.1016/j.esr.2020.100526

Fama, E. F. & French, K. R. (1988). Dividend yields and expected stock returns. Journal of Financial Economics, 22(1): 3–25. https://doi.org/10.1016/0304-405X(88)90020-7

Faruk, M., Rahman, M., & Hasan, S. (2021). How digital marketing evolved over time: A bibliometric analysis on Scopus database. Heliyon, 7(12), e08603. https://doi.org/10.1016/j.heliyon.2021.e08603

Goodell, J. W., & Huynh, T. L. D. (2020). Did Congress trade ahead? Considering the reaction of US industries to COVID-19. Finance Research Letters, 36, 101578. https://doi.org/10.1016/j.frl.2020.101578

Gopinathan, R., & Durai, S. R. S. (2019). Stock market and macroeconomic variables: new evidence from India. Financial Innovation, 5(1). https://doi.org/10.1186/s40854-019-0145-1

Guo, H., Hung, C. H. D., & Kontonikas, A. (2022). The Fed and the stock market: A tale of sentiment states. Journal of International Money and Finance, 128, 102707. https://doi.org/10.1016/j.jimonfin.2022.102707

Hondroyiannis, G., & Papapetrou, E. (2005). Stock returns and inflation in Greece: A Markov switching approach. Review of Financial Economics, 15(1), 76–94. https://doi.org/10.1016/j.rfe.2005.02.002

Hong, Y., Zhang, R., & Zhang, F. (2024). Time-varying causality impact of economic policy uncertainty on stock market returns: Global evidence from developed and emerging countries. International Review of Financial Analysis, 91, 102991. https://doi.org/10.1016/j.irfa.2023.102991

Höynck, C., & Rossi, L. (2023). The drivers of market-based inflation expectations in the euro area and in the US. Economics Letters, 232, 111323. https://doi.org/10.1016/j.econlet.2023.111323

Huang, S., An, H., Gao, X., et al. (2017). The multiscale impact of exchange rates on the oil-stock nexus: Evidence from China and Russia. Applied Energy, 194, 667–678. https://doi.org/10.1016/j.apenergy.2016.09.052

Hussain, S. M., Ben Omrane, W., & Al-Yahyaee, K. (2020). US macroeconomic news effects around the US and European financial crises: Evidence from Brazilian and Mexican equity indices. Global Finance Journal, 46, 100482. https://doi.org/10.1016/j.gfj.2019.100482

Jiang, T., Liu, T., Tang, K., et al. (2022). Online prices and inflation during the nationwide COVID-19 quarantine period: Evidence from 107 Chinese websites. Finance Research Letters, 49, 103166. https://doi.org/10.1016/j.frl.2022.103166

Karamti, C., & Jeribi, A. (2023). Stock markets from COVID-19 to the Russia–Ukraine crisis: Structural breaks in interactive effects panels. The Journal of Economic Asymmetries, 28, e00340. https://doi.org/10.1016/j.jeca.2023.e00340

Koch, S., & Dimpfl, T. (2023). Attention and retail investor herding in cryptocurrency markets. Finance Research Letters, 51, 103474. https://doi.org/10.1016/j.frl.2022.103474

Kurov, A., & Stan, R. (2018). Monetary policy uncertainty and the market reaction to macroeconomic news. Journal of Banking & Finance, 86, 127–142. https://doi.org/10.1016/j.jbankfin.2017.09.005

Lee, B. S. (2010). Stock returns and inflation revisited: An evaluation of the inflation illusion hypothesis. Journal of Banking & Finance, 34(6), 1257–1273. https://doi.org/10.1016/j.jbankfin.2009.11.023

Li, R., & Su, M. (2017). The Role of Natural Gas and Renewable Energy in Curbing Carbon Emission: Case Study of the United States. Sustainability, 9(4), 600. https://doi.org/10.3390/su9040600

Li, T., Ma, F., Zhang, X., et al. (2020). Economic policy uncertainty and the Chinese stock market volatility: Novel evidence. Economic Modelling, 87, 24–33. https://doi.org/10.1016/j.econmod.2019.07.002

Liu, W., & Garrett, I. (2023). Regime-dependent effects of macroeconomic uncertainty on realized volatility in the U.S. stock market. Economic Modelling, 128, 106483. https://doi.org/10.1016/j.econmod.2023.106483

Long, S., & Guo, J. (2022). Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks. Research in International Business and Finance, 62, 101689. https://doi.org/10.1016/j.ribaf.2022.101689

Matar, A., & Bekhet, H. A. (2015) ‘Causal interaction among electricity consumption, financial development, exports and economic growth in Jordan: Dynamic simultaneous equation models’, International Journal of Energy Economics and Policy, 5(4), 955–967.

Megaritis, A., Vlastakis, N., & Triantafyllou, A. (2021). Stock market volatility and jumps in times of uncertainty. Journal of International Money and Finance, 113, 102355. https://doi.org/10.1016/j.jimonfin.2021.102355

Nusair, S. A., & Al-Khasawneh, J. A. (2022). Impact of economic policy uncertainty on the stock markets of the G7 Countries: A nonlinear ARDL approach. The Journal of Economic Asymmetries, 26, e00251. https://doi.org/10.1016/j.jeca.2022.e00251

Queku, I. C., Gyedu, S., & Carsamer, E. (2020). Stock prices and macroeconomic information in Ghana: speed of adjustment and bi-causality analysis. International Journal of Emerging Markets, 17(1), 47–70. https://doi.org/10.1108/ijoem-05-2019-0342

Raghutla, C., Sampath, T., & Vadivel, A. (2019). Stock prices, inflation, and output in India: An empirical analysis. Journal of Public Affairs, 20(3). https://doi.org/10.1002/pa.2052

Selmi, R., Hammoudeh, S., Kasmaoui, K., et al. (2022). The dual shocks of the COVID-19 and the oil price collapse: A spark or a setback for the circular economy? Energy Economics, 109, 105913. https://doi.org/10.1016/j.eneco.2022.105913

Selmi, R., Wohar, M., Deisting, F., et al. (2023). Dynamic inflation hedging performance and downside risk: A comparison between Islamic and conventional stock indices. The Quarterly Review of Economics and Finance, 91, 56–67. https://doi.org/10.1016/j.qref.2023.07.006

Shehzad, K., Bilgili, F., Zaman, U., et al. (2021). Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach. Resources Policy, 73, 102163. https://doi.org/10.1016/j.resourpol.2021.102163

Wang, F., Mbanyele, W., & Muchenje, L. (2022). Economic policy uncertainty and stock liquidity: The mitigating effect of information disclosure. Research in International Business and Finance, 59, 101553. https://doi.org/10.1016/j.ribaf.2021.101553

Wang, N., & You, W. (2023). New insights into the role of global factors in BRICS stock markets: A quantile cointegration approach. Economic Systems, 47(2), 101015. https://doi.org/10.1016/j.ecosys.2022.101015

Zaremba, A., Kizys, R., Aharon, D. Y., et al. (2020). Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe. Finance Research Letters, 35, 101597. https://doi.org/10.1016/j.frl.2020.101597

Zhang, C., Zhou, K., Yang, S., et al. (2017). Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model. Physica A: Statistical Mechanics and Its Applications, 473, 144–155. https://doi.org/10.1016/j.physa.2017.01.004

Zhang, Z. (2021). Stock Returns and Inflation Redux: An Explanation from Monetary Policy in Advanced and Emerging Markets. IMF Working Papers, 2021(219), 1. https://doi.org/10.5089/9781513586755.001




DOI: https://doi.org/10.24294/jipd.v8i8.5692

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