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Stock market reactions to domestic sentiment: Panel CS-ARDL evidence

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  • Ahmed, Walid M.A.

Abstract

This study sets out to explore the effects of business and consumer sentiment on stock market performance, within the separate contexts of advanced and emerging markets. The empirical analysis is carried out using the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) modeling approach, which considers time dynamics, cross-sectional heterogeneity, and cross-sectional dependence. The findings for developed markets suggest that business sentiment has positive leading effects on stock returns, across short- and long-term time horizons, while for emerging markets, the price impact of business sentiment turns out to be short-lived. On the other hand, consumer sentiment tends to affect positively both market types, albeit only in the short run. Furthermore, the influence of sentiment indicators seems to be stronger in emerging- than in developed-market countries. The results remain robust, even after controlling for a rich range of potential predictors of stock returns. Generally, such evidence highlights the relevance of psychological factors, such as business and consumer sentiment, in determining the future trajectory of asset prices.

Suggested Citation

  • Ahmed, Walid M.A., 2020. "Stock market reactions to domestic sentiment: Panel CS-ARDL evidence," Research in International Business and Finance, Elsevier, vol. 54(C).
  • Handle: RePEc:eee:riibaf:v:54:y:2020:i:c:s0275531919303873
    DOI: 10.1016/j.ribaf.2020.101240
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    3. Bing, Tao & Ma, Hongkun, 2021. "COVID-19 pandemic effect on trading and returns: Evidence from the Chinese stock market," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 384-396.
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    7. Lijiao Yang & Yishuang Qi & Xinyu Jiang, 2021. "An Investigation of the Initial Recovery Time of Chinese Enterprises Affected by COVID-19 Using an Accelerated Failure Time Model," IJERPH, MDPI, vol. 18(22), pages 1-16, November.
    8. Chien, Fengsheng & Hsu, Ching-Chi & Ozturk, Ilhan & Sharif, Arshian & Sadiq, Muhammad, 2022. "The role of renewable energy and urbanization towards greenhouse gas emission in top Asian countries: Evidence from advance panel estimations," Renewable Energy, Elsevier, vol. 186(C), pages 207-216.

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    More about this item

    Keywords

    Business sentiment; Consumer sentiment; Dynamic h; Dynamic heterogeneous panels; Cross-sectional dependence; Cross-sectionally augmented ARDL;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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