Determinants of South African Asset Market Co-Movement: Evidence from Investor Sentiment and Changing Market Conditions
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- Fatma Mathlouthi & Slah Bahloul, 2022. "Co-movement and causal relationships between conventional and Islamic stock market returns under regime-switching framework," Journal of Capital Markets Studies, Emerald Group Publishing Limited, vol. 6(2), pages 166-184, June.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Dimic, Nebojsa & Kiviaho, Jarno & Piljak, Vanja & Äijö, Janne, 2016. "Impact of financial market uncertainty and macroeconomic factors on stock–bond correlation in emerging markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 41-51.
- Piljak, Vanja, 2013. "Bond markets co-movement dynamics and macroeconomic factors: Evidence from emerging and frontier markets," Emerging Markets Review, Elsevier, vol. 17(C), pages 29-43.
- Fabian Moodley & Ntokozo Nzimande & Paul-Francois Muzindutsi, 2022. "Stock Returns Indices and Changing Macroeconomic Conditions: Evidence from the Johannesburg Securities Exchange," EuroEconomica, Danubius University of Galati, issue 3(12), pages 109-121, December.
- Chiu, Junmao & Chung, Huimin & Ho, Keng-Yu & Wu, Chih-Chiang, 2018. "Investor sentiment and evaporating liquidity during the financial crisis," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 21-36.
- Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
- Haritha P H & Abdul Rishad, 2020. "An empirical examination of investor sentiment and stock market volatility: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-15, December.
- Hilary Tinotenda Muguto & Lorraine Rupande & Paul-Francois Muzindutsi, 2019. "Investor sentiment and foreign financial flows: Evidence from South Africa," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 473-498.
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Keywords
MS-AR; MS-VAR; investor sentiment; co-movement; asset markets; South Africa;All these keywords.
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