Determinants of Emerging Capital Markets Development: A Case of Dar Es Salaam Stock Exchange

D. Suleiman, C. Mbogo
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Abstract

This study aims to assess determinants of emerging capital markets development with particular reference to Dar es Salaam Stock Exchange (DSE). Specifically, the study aimed to analyze influence of legal and institutional framework, influence of political and macroeconomic stability and effects of broadening the investors’ base on capital markets development. The study employed time series research design. Data from statistical observations were recorded in a duration of 10 years (2011-202) on capital market development in relation to macroeconomic factors including liquidity in the stock market, investment, banking sector expansion and foreign direct investment. The regression findings correspondingly showed that the multiple determination coefficient R2 is 0.9272. The result showed that the exogenous variables (INTR, INFL, EXCHR, NINFA and LFW) are explained by 92.72% of the variations in dependent variable (CMD) while remaining 7.28 % are attributed to other factors not considered in the model are to blame. In addition, Durbin Watson (DW) statistics of 1 were disclosed in the results. The study recommends that small and medium businesses, which play a significant role in Tanzania's economy, should also be encouraged to engage in the stock market. A systematic and comprehensive investment promotion and facilitation plan that suits Tanzania's interests is required. Savings habit must be encouraged in the country by government policies that favour it. Also, as a country attracts foreign investment, more jobs become available, and individuals have more money to save. In addition, foreign direct investment adds management and technology transfer capabilities.
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新兴资本市场发展的决定因素:以达累斯萨拉姆证券交易所为例
本研究旨在评估新兴资本市场发展的决定因素,特别参考达累斯萨拉姆证券交易所(DSE)。具体而言,该研究旨在分析法律和制度框架的影响、政治和宏观经济稳定的影响以及扩大投资者基础对资本市场发展的影响。本研究采用时间序列研究设计。统计观察数据记录了10年(2011-202年)期间资本市场发展与宏观经济因素的关系,包括股票市场流动性、投资、银行业扩张和外国直接投资。回归结果表明,多重决定系数R2为0.9272。结果表明,外生变量(INTR, INFL, EXCHR, NINFA和LFW)可以解释92.72%的因变量(CMD)变化,而其余7.28%归因于模型中未考虑的其他因素。此外,结果中还披露了1的Durbin Watson (DW)统计量。该研究建议,在坦桑尼亚经济中发挥重要作用的中小企业也应鼓励参与股票市场。需要一项符合坦桑尼亚利益的系统和全面的投资促进和便利化计划。在这个国家,必须通过有利于储蓄的政府政策来鼓励储蓄习惯。此外,当一个国家吸引外国投资时,会有更多的工作机会,个人也会有更多的钱可以储蓄。此外,外国直接投资增加了管理和技术转让能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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