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Stock market integration between the UK and the US: Evidence over eight decades

Author

Listed:
  • Olalekan Aladesanmi
  • Fabrizio Casalin

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Hugh Metcalf

Abstract

This study investigates how the impact made on stock market integration by macroeconomic determinants such as various measures of convergence and financial volatility, as well as crisis episodes, varies over the period 1935–2015. We gauge how the level of integration between the UK and US stock markets changes across three monetary regimes during this period: pre–Bretton Woods (BW), the BW fixed exchange rate, and the post-BW flexible rates. Our empirical results suggest that integration was strongest under the post-BW regime and weakest under the BW regime. We further demonstrate that stock market integration between the two markets has been driven largely by macroeconomic convergence and financial volatility as well as by crises, especially since the demise of the BW system.

Suggested Citation

  • Olalekan Aladesanmi & Fabrizio Casalin & Hugh Metcalf, 2019. "Stock market integration between the UK and the US: Evidence over eight decades," Post-Print hal-02108134, HAL.
  • Handle: RePEc:hal:journl:hal-02108134
    DOI: 10.1016/j.gfj.2018.11.005
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    Cited by:

    1. Babaei, Hamid & Hübner, Georges & Muller, Aline, 2023. "The effects of uncertainty on the dynamics of stock market interdependence: Evidence from the time-varying cointegration of the G7 stock markets," Journal of International Money and Finance, Elsevier, vol. 139(C).
    2. Gaete, Michael & Herrera, Rodrigo, 2023. "Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach," Journal of Commodity Markets, Elsevier, vol. 32(C).
    3. Ahmad, Nasir & Rehman, Mobeen Ur & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Does inter-region portfolio diversification pay more than the international diversification?," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 26-35.
    4. Jian Ni & Yue Xu, 2023. "Forecasting the Dynamic Correlation of Stock Indices Based on Deep Learning Method," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 35-55, January.
    5. António Afonso & Krzysztof Beck & Karen Jackson, 2022. "Determinants of stock market correlations. Accounting for model uncertainty and reverse causality in a large panel setting," Working Papers REM 2022/0246, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    6. Zainudin, Ahmad Danial & Mohamad, Azhar, 2021. "Cross hedging with stock index futures," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 128-144.
    7. Hussain, Syed Mujahid & Ben Omrane, Walid & Al-Yahyaee, Khamis, 2020. "US macroeconomic news effects around the US and European financial crises: Evidence from Brazilian and Mexican equity indices," Global Finance Journal, Elsevier, vol. 46(C).

    More about this item

    Keywords

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

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