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Anokye M. Adam

Bio: Anokye M. Adam is an academic researcher from University of Cape Coast. The author has contributed to research in topics: Economics & Cointegration. The author has an hindex of 15, co-authored 67 publications receiving 922 citations. Previous affiliations of Anokye M. Adam include Open University Malaysia & Accra Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: This article proposed an adjustment to the margin of error in Yamane's (1967) formula to make it applicable for use in determining optimum sample size for both continuous and categorical variables at all levels of confidence.
Abstract: Obtaining a representative sample size remains critical to survey researchers because of its implication for cost, time and precision of the sample estimate. However, the difficulty of obtaining a good estimate of population variance coupled with insufficient skills in sampling theory impede the researchers’ ability to obtain an optimum sample in survey research. This paper proposes an adjustment to the margin of error in Yamane’s (1967) formula to make it applicable for use in determining optimum sample size for both continuous and categorical variables at all levels of confidence. A minimum sample size determination table is developed for use by researchers based on the adjusted formula developed in this paper.

161 citations

Journal ArticleDOI
TL;DR: In this article, the role of macroeconomic variables on stock prices movement in Ghana was examined using the Databank stock index to represent Ghana stock market and inward foreign direct investments.
Abstract: This study examines the role of macroeconomic variables on stock prices movement in Ghana. We use the Databank stock index to represent Ghana stock market and (a) inward foreign direct investments, (b) the treasury bill rate (as a measure of interest rates), (c) the consumer price index (as a measure of inflation), and (d) the exchange rate as macroeconomic variables. We analyze both long-run and short-run dynamic relationships between the stock market index and the economic variable with quarterly data for the above variables from 1991.1 to 2006.4 using Johansen's multivariate cointegration test and innovation accounting techniques. We established that there is cointegration between macroeconomic variables identified and Stock prices in Ghana indicating long run relationship. Results of Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) indicate that interest rate and Foreign Direct Investment (FDI) are the key determinants of the share price movements in Ghana.

135 citations

Posted Content
TL;DR: Using multivariate cointegration and innovation accounting methods, the authors examines the impact of Foreign Direct Investment (FDI) on stock market development in Ghana and finds long-run relationship between FDI and stock market in Ghana.
Abstract: Using multivariate cointegration and Innovation Accounting Methods, this paper examines the impact of Foreign Direct Investment (FDI) on stock market development in Ghana. The paper finds long-run relationship between FDI and stock market development in Ghana. Using impulse responses and Variance Decomposition from Vector Error Correction Model we find that shocks in FDI significantly influence the development of stock market in Ghana

110 citations

Posted Content
01 Jan 2008
TL;DR: In this article, the role of macroeconomic variables on stock prices movement in Ghana was examined using the Databank stock index to represent Ghana stock market and inward foreign direct investments.
Abstract: This study examines the role of macroeconomic variables on stock prices movement in Ghana. We use the Databank stock index to represent Ghana stock market and (a) inward foreign direct investments, (b) the treasury bill rate (as a measure of interest rates), (c) the consumer price index (as a measure of inflation), and (d) the exchange rate as macroeconomic variables. We analyze both long-run and short-run dynamic relationships between the stock market index and the economic variable with quarterly data for the above variables from 1991.1 to 2006.4 using Johansen's multivariate cointegration test and innovation accounting techniques. We established that there is cointegration between macroeconomic variables identified and Stock prices in Ghana indicating long run relationship. Results of Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) indicate that interest rate and Foreign Direct Investment (FDI) are the key determinants of the share price movements in Ghana.

82 citations

Posted Content
TL;DR: Using multivariate cointegration and innovation accounting methods, the authors examines the impact of Foreign Direct Investment (FDI) on stock market development in Ghana and finds long-run relationship between FDI and stock market in Ghana.
Abstract: Using multivariate cointegration and Innovation Accounting Methods, this paper examines the impact of Foreign Direct Investment (FDI) on stock market development in Ghana. The paper finds long-run relationship between FDI and stock market development in Ghana. Using impulse responses and Variance Decomposition from Vector Error Correction Model we find that shocks in FDI significantly influence the development of stock market in Ghana

73 citations


Cited by
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01 Jan 1999
TL;DR: In this paper, the authors explore whether the world economy is breaking up into regional trading and currency blocs centred on the European Community, Japan and the United States, and conclude with an analysis of how trends in regional economic integration can be used as building blocks for a stronger multilateral system.
Abstract: This book explores whether the world economy is breaking up into regional trading and currency blocs centred on the European Community, Japan and the United States. Frankel uses trade, investment and financial data to assess this issue. He concludes with an analysis of how trends in regional economic integration can be used as building blocks for a stronger multilateral system.

1,035 citations

Journal Article
TL;DR: Šonje et al. as mentioned in this paper used a sample of 35 countries for the period between 1860 and 1963 to show the relationship between income and financial depth measured by the ratio between bank's assets and GDP.
Abstract: relationship. All subsequent studies confirmed it (see for example King and Levine, 1993, and the review in: Pagano, 1993). Goldsmith used a sample of 35 countries for the period between 1860 and 1963 to show the relationship between income and financial depth measured by the ratio between bank's assets and GDP. He also showed that in periods of rapid growth, financial depth grows faster than income. More details about measuring financial depth can be found in this paper. FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH Velimir Šonje

891 citations

Book
01 Jan 1981

704 citations