The The Impact of Financial Stress Index, CBOE Volatility Index, Economic Policy Uncertainty Index, and Macroeconomic Factors on Global Stock Market Indices: Evidence from S&P 500, Nikkei 225, and FTSE 100
DOI:
https://doi.org/10.14456/ajmt.2025.15Keywords:
Financial Stress Index, CBOE Volatility Index, Economic Policy Uncertainty Index, FTSE 100, Nikkei 225, S&P 500Abstract
This study aims to examine the impact of the Financial Stress Index, CBOE Volatility Index, Economic Policy Uncertainty Index, and macroeconomic factors on major stock market indices: the S&P 500, Nikkei 225, and FTSE 100. This research employs a quantitative approach utilizing secondary data in the form of monthly time series data collected over 172 months, from September 2010 to December 2024. The analysis applies econometric methods, specifically multiple linear regression, to identify the independent variables that significantly influence the stock indices under investigation. The findings indicate that both the Financial Stress Index and the CBOE Volatility Index exhibit negative relationships with the S&P 500, Nikkei 225, and FTSE 100 indices. This suggests that investors tend to reduce their exposure to risky assets when market stress or volatility increases. Conversely, crude oil prices demonstrate positive associations with all three indices, underscoring their role as a proxy for global economic growth. Regarding the Economic Policy Uncertainty Index, the U.S. EPU shows no significant relationship with the S&P 500, whereas the Japanese and U.K. EPUs exhibit negative relationships with the Nikkei 225 and FTSE 100, respectively. This highlights the heterogeneous influence of policy uncertainty across different countries and their respective capital markets. Finally, gold prices are positively correlated with the S&P 500, negatively correlated with the Nikkei 225, and show no significant relationship with the FTSE 100. The research provides valuable insights for forecasting the movements of these major stock indices and contributes to enhanced investment portfolio management and risk mitigation strategies.
References
Baker, S.R., & Bloom, N., & Davis, S.J. (2016). Measuring Economic Policy Uncertainty. The Quarterly Journal of Economics, President and Fellows of Harvard College, 131(4), 1593-1636. https://doi.org/10.1093/qje/qjw024
Bank of Thailand. (2024). FM_PI_002 Outstanding Foreign Investment, Classified by Investor Type and Type of Invested Assets 1/. https://app...bot.or.th/BTWS_STAT/statistics/BOTWEBSTAT.aspx?reportID=957&l
Bank of Thailand. (2021). Investment in Foreign Securities in 2021. https://www.bot.or.th/th/our-roles/financial-markets/foreign-exchange-regulations/foreign-exchange-laws/retail-portfolio-investment-abroad/portfolio-investment-2021.html
Blair, B., & Poon, S., & Taylor, S. (2001). Forecasting S&P 100 Volatility: The Incremental Information Content of Implied Volatilities and High-Frequency Index Returns, Journal of Econometrics, 105(1), 5-26. https://doi.org/10.1016/S0304-4076(01)00068-9
Chen, B., & Sun, Y. (2022). The Impact of VIX on China’s Financial Market: A New Perspective Based on High-Dimensional and Time-Varying Methods, The North American Journal of Economics and Finance. Elsevier, 63, 101831. https://doi.org/10.1016/j.najef.2022.101831
Cheutrapra, U. (2015). Factors Affecting Net Foreign Investors Trading Volume in the Stock Exchange of Thailand [Independent study, Bangkok University]. BU Research. https://dspace.bu.ac.th/handle/123456789/2074
Christopoulos, A.G., Mylonakis, J., & Koromilas, C. (2011). Measuring the Impact of Financial Crisis on International Markets: An Application of the Financial Stress Index. Review of European Studies, 3(1), 22-34. https://www.ccsenet.org/journal/index.php/res/article/view/10802
Fuad, F., & Yuliadi, I. (2021). Determinants of the Composite Stock Price Index (IHSG) on the Indonesia Stock Exchange. Journal of Economics Research and Social Sciences, 5(1),27–41. https://doi.org/10.18196/jerss.v5i1.11002
Jian, C., & Fuwei, J., & Guoshi, T. (2017). Economic Policy Uncertainty in China and Stock Market Expected Returns, Accounting and Finance Association of Australia and New Zealand, 57(5), 1265-1286. https://doi.org/10.1111/acfi.12338
Leamer, E., & Stern, R. (1970). Quantitative International Economics. Boston: Allyn and Bacon, Inc. https://www.anderson.ucla.edu/faculty_pages/edward.leamer/books/QIE.htm
Lumengo, B., & Salifya, M. (2023). Assessing the Extent of Exchange Rate Risk Pricing in Equity Markets: Emerging Versus Developed Economies. African Journal of Economic and Management Studies, 16(1),148-159. https://doi.org/10.1108/AJEMS-11-2023-0436
Mora, A. (2019). The Spillover Effects of Global Economic Policy Uncertainty (GEPU) on Emerging Equity Markets: Evidence from Thailand. Chiang Mai University Journal of Economics, 23(2),1-26. https://so01.tcithaijo.org/index.php/CMJE/article/view/179619/148254
Naveed, R., & Syed, S., & Aviral, T., & Muhammad, H., & Mohd, Z. (2016). Asymmetric Impact of Gold, Oil Prices and Their Volatilities on Stock Prices of Emerging Markets. Resources Policy, 49, 290-301. https://doi.org/10.1016/j.resourpol.2016.06.011
Office of Financial Research. (2025). OFR Financial Stress Index. https://www.financialresearch.gov/financial-stress-index/
Pantuan, W. (2018). Factors Affecting the SET 100 Stock Price Index and the Relationship Between Independent and Dependent
Variables. Graduate Research Presentation Conference, 13,1460-1470. https://rsujournals.rsu.ac.th/index.php/rgrc/article/view/985/738
Park, C., & Mercado, R. (2013). Determinants of Financial Stress in Emerging Market Economies, Journal of Banking & Finance, 45, 199-224. https://doi.org/10.1016/j.jbankfin.2013.09.018
Pibulphanitkan, N. (2015). Analysis of Factors Affecting the Price of Gold Bars in Thailand [Independent study, Bangkok University]. BU Research. http://dspace.bu.ac.th/handle/123456789/1863
Rahmat, H., & Sudjono. (2022). The Effect of World Gold Price, World Oil Price, USD/IDR Exchange Rate and Inflation on the Joint Stock Price Index (JCI) on the Indonesia Stock Exchange (IDX). Sch Bull, 8(1), 33-41. http://dx.doi.org/10.36348/sb.2022.v08i01.005
Saka, K. (2024). The Effect of Financial Stress on Stock Markets: An Example of MINT Economies. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 46(2),1-467. https://doi.org/10.14780/muiibd.1499394
Sarwar, G. (2012). Is VIX an Investor Fear Gauge in BRIC Equity Markets?. Journal of Multinational Financial Management, 22(3),55-65. https://doi.org/10.1016/j.mulfin.2012.01.003
Saengthongstatit, T. (2020). The Influence of Latent Volatility Index on Investment in SET50 Index. https://setthasarn.econ.tu.ac.th/blog/detail/516
Srinoi, P., & Jitmaneeroj, B. (2018). Factors Affecting the SET50 Index in the Stock Exchange of Thailand. In Rangsit Graduate Research Conference. (Ed.), The 13th National Graduate Research Conference (pp. 1471-1478). Rangsit University. https://rsujournals.rsu.ac.th/index.php/rgrc/article/view/986
Sum, V. (2013). The ASEAN Stock Market Performance and Economic Policy Uncertainty in the United States. Economic Papers: A Journal of Applied Economics and Policy, 32(4),512–521. https://doi.org/10.1111/1759-3441.12049
Syed, H. (2018). Impact of Interest Rate, Inflation Rate, Exchange Rate and Gold Prices on Karachi Meezan Index 30. European Journal of Islamic Finance, 10,2421-2172. https://doi.org/10.13135/2421-2172/2584
The Stock Exchange of Thailand. (2023). The Thai Stock Market and Its Role on the World Stage. https://www.set.or.th/th/about/mediacenter/insights/article/336-the-thai-capital-markets-roles-in-the-global-arena
Trakulpaisan, S., & Jaroenwiriyakul, S. (2023). Factors Affecting the Rate of Return of Energy and Utility Securities in the Stock Exchange of Thailand. Procedia of Multidisciplinary Research, 1(7),34. https://so09.tci thaijo.org/index.php/PMR/article/download/2693/1565/10413
Wacharawarat, M. (2025). Stock Market Volatility: How to Invest in the Era of Trump 2.0. https://www.setinvestnow.com/th/knowledge/article/667-tsi-volatile-stock-market-trump-era-investing
Wanichchakrapong, K., & Ananphonsak, N. (2022). Analysis of Deviations Crude Oil Price Forecasting Based on Fundamentals between Exchange Rates and Stock Indices Using Artificial Neural Network. Journal of Engineering and Innovative Research, 1, 12-20.
https://ph03.tci-thaijo.org/index.php/JEIRKKC/article/download/69/365
Yossapol, P., & Cheuathonghua, M. (2023). The Influence of CBOE’s Volatility Index, Dowjones Sustainability Index and Macroeconomic Factors on the Thailand Sustainability Investment of the Stock Exchange of Thailand (SETTHSI) and Hangseng Corporate Sustainability Index (HSSUS) of Hongkong Stock Exchange. Procedia of Multidisciplinary Research, 1(5), 26. https://so09.tci-thaijo.org/index.php/PMR/article/download/2259/1176
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