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Canonical correlation analysis

Author

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  • Peter Mazuruse

Abstract

Purpose - – The purpose of this paper was to construct a canonical correlation analysis (CCA) model for the Zimbabwe stock exchange (ZSE). This paper analyses the impact of macroeconomic variables on stock returns for the Zimbabwe Stock Exchange using the canonical correlation analysis (CCA). Design/methodology/approach - – Data for the independent (macroeconomic) variables and dependent variables (stock returns) were extracted from secondary sources for the period from January 1990 to December 2008. For each variable, 132 sets of data were collected. Eight top trading companies at the ZSE were selected, and their monthly stock returns were calculated using monthly stock prices. The independent variables include: consumer price index, money supply, treasury bills, exchange rate, unemployment, mining and industrial index. The CCA was used to construct the CCA model for the ZSE. Findings - – Maximization of stock returns at the ZSE is mostly influenced by the changes in consumer price index, money supply, exchange rate and treasury bills. The four macroeconomic variables greatly affect the movement of stock prices which, in turn, affect stock returns. The stock returns for Hwange, Barclays, Falcon, Ariston, Border, Caps and Bindura were significant in forming the CCA model. Research limitations/implications - – During the research period, some companies delisted due to economic hardships, and this reduced the sample size for stock returns for respective companies. Practical implications - – The results from this research can be used by policymakers, stock market regulators and the government to make informed decisions when crafting economic policies for the country. The CCA model enables the stakeholders to identify the macroeconomic variables that play a pivotal role in maximizing the strength of the relationship with stock returns. Social implications - – Macroeconomic variables, such as consumer price index, inflation, etc., directly affect the livelihoods of the general populace. They also impact on the performance of companies. The society can monitor economic trends and make the right decisions based on the current trends of economic performance. Originality/value - – This research opens a new dimension to the study of macroeconomic variables and stock returns. Most studies carried out so far in Zimbabwe zeroed in on multiple regression as the central methodology. No study has been done using the CCA as the main methodology.

Suggested Citation

  • Peter Mazuruse, 2014. "Canonical correlation analysis," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 6(2), pages 179-196, May.
  • Handle: RePEc:eme:jfeppp:v:6:y:2014:i:2:p:179-196
    DOI: 10.1108/JFEP-09-2013-0047
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    Citations

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    Cited by:

    1. Pooja Joshi & A K Giri, 2015. "Dynamic Relations between Macroeconomic Variables and Indian Stock Price: An Application of ARDL Bounds Testing Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(10), pages 1119-1133, October.
    2. Yutaka Kurihara, 2016. "Deterministic Elements of Japanese Stock Prices under Low Interest Rates," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(2), pages 24-30, April.
    3. GIRI A. K. & JOSHI Pooja, 2017. "The Impact Of Macroeconomic Indicators On Indian Stock Prices: An Empirical Analysis," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 61-78, April.
    4. Mosab I. Tabash & Umaid A. Sheikh & Ali Matar & Adel Ahmed & Dang Khoa Tran, 2022. "Do Financial Crises Matter for Nonlinear Exchange Rate and Stock Market Cointegration? A Heterogeneous Nonlinear Panel Data Model with PMG Approach," IJFS, MDPI, vol. 11(1), pages 1-22, December.
    5. Yutaka Kurihara, 2016. "Effectiveness of the Zero Interest Rate Policy for Financial Markets in Japan: Principal Components Analysis," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 103-111, August.
    6. Pooja Joshi & A. K. Giri, 2015. "Cointegration and Causality between Macroeconomic variables and Stock Prices: Empirical Analysis from Indian Economy," Business and Economic Research, Macrothink Institute, vol. 5(2), pages 327-345, December.

    More about this item

    Keywords

    Stock returns; Macroeconomic variables; Canonical correlation; Canonical variates; Canonical loadings; Redundancy index; C51; C61;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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