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The Impact of Financial Stress and Uncertainty on Green and Conventional Bonds and Stocks: A Nonlinear and Nonparametric Quantile Analysis

Author

Listed:
  • Muhammad Mar’I

    (Department of Banking and Finance, Near East University, Nicosia 99138, Cyprus)

  • Mehdi Seraj

    (Department of Economics, Near East University, Nicosia 99138, Cyprus)

  • Turgut Tursoy

    (Department of Banking and Finance, Near East University, Nicosia 99138, Cyprus)

Abstract

This study aims to investigate the impact of financial stress and uncertainty on the returns of green and conventional bonds and stocks in the United States from 2010 to 2022. The research utilizes nonlinear and nonparametric analysis, which includes the quantile-on-quantile and nonparametric causality-in-quantiles approaches to examine the relationship between variables. The data analyzed using R programming language show that financial stress positively impacts the middle quantiles of both conventional and green equity, while financial uncertainty negatively impacts upper quantiles. The study also finds that financial stress has a more significant impact on all types of bonds compared to financial uncertainty, with conventional bonds being more affected. This study proposes a pyramid that classifies financial assets based on their susceptibility to financial stress, which could help investors evaluate risk levels and make better investment decisions. The study recommends that policymakers should encourage green investments by offering incentives, such as tax credits. They should also focus on enhancing the efficiency of volatile assets by implementing new investment rules and regulations.

Suggested Citation

  • Muhammad Mar’I & Mehdi Seraj & Turgut Tursoy, 2024. "The Impact of Financial Stress and Uncertainty on Green and Conventional Bonds and Stocks: A Nonlinear and Nonparametric Quantile Analysis," Risks, MDPI, vol. 12(8), pages 1-18, July.
    • Handle: RePEc:gam:jrisks:v:12:y:2024:i:8:p:120-:d:1447141
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    References listed on IDEAS

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    2. Hayet Soltani & Mouna Boujelbène Abbes, 2023. "The Predictive Power of Financial Stress on the Financial Markets Dynamics: Hidden Markov Model," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 94-115, March.
    3. Chuliá, Helena & Gupta, Rangan & Uribe, Jorge M. & Wohar, Mark E., 2017. "Impact of US uncertainties on emerging and mature markets: Evidence from a quantile-vector autoregressive approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 178-191.
    4. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 369-410, October.
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