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Monetary environments and stock returns revisited: A quantile regression approach

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  • Chevapatrakul, Thanaset

Abstract

We investigate the impact of monetary conditions on stock market returns at different points on the return distributions. Our results reveal no association between stock returns and monetary environments at the lower quantiles. At the upper quantiles, however, we find that expansive monetary conditions lead to significantly larger stock returns. The relationship between returns and monetary conditions at the upper quantiles is also found to be asymmetric, exhibiting a monotonic increase in responsiveness at successive quantiles.

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  • Chevapatrakul, Thanaset, 2014. "Monetary environments and stock returns revisited: A quantile regression approach," Economics Letters, Elsevier, vol. 123(2), pages 122-126.
    • Handle: RePEc:eee:ecolet:v:123:y:2014:i:2:p:122-126
    DOI: 10.1016/j.econlet.2014.01.033
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    Cited by:

    1. Yang, Sheng-Ping, 2017. "Exchange rate dynamics and stock prices in small open economies: Evidence from Asia-Pacific countries," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 337-354.
    2. Chevapatrakul, Thanaset & Xu, Zhongxiang & Yao, Kai, 2019. "The impact of tail risk on stock market returns: The role of market sentiment," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 289-301.
    3. Chevapatrakul, Thanaset, 2015. "Monetary environments and stock returns: International evidence based on the quantile regression technique," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 83-108.
    4. Mohammad Sharik Essa & Evangelos Giouvris, 2020. "Oil Price, Oil Price Implied Volatility (OVX) and Illiquidity Premiums in the US: (A)symmetry and the Impact of Macroeconomic Factors," JRFM, MDPI, vol. 13(4), pages 1-40, April.
    5. Jing Wan & Shen Zhang & Xu Feng, 2024. "How does the stock market affect the interest rate corridor system in China?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1820-1833, April.
    6. Wen, Fenghua & Shui, Aojie & Cheng, Yuxiang & Gong, Xu, 2022. "Monetary policy uncertainty and stock returns in G7 and BRICS countries: A quantile-on-quantile approach," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 457-482.

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    More about this item

    Keywords

    Quantile regression; Monetary policy; Stock markets;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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