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Abstract
1-Introduction
2-Methodology and Results
3-Conclusion
References
Abstract
This paper proposes an overview of macroeconomic correlation between telecom investments and the GDP of MINT countries. MINT countries are Mexico, Indonesia, Nigeria and Turkey and the term has populated by Goldman Sachs, who has also created a relatively more referred term BRICS. The paper holds a specialized literature for each of MINT countries and then proposes a statistical model for correlation analysis, which is built on three well-known correlation coefficient calculation, Kendall’s Tau, Spearman’s Rho and Pearson’s Product Moment Correlation. The results show a high correlation between the telecom investment and the GDP for each of the countries, but the correlation coefficient differs from country to country. For example the highest correlation monitored is in Nigeria with about 70% and the lowest correlation is in Indonesia with about 44%.
Introduction
In this paper, we propose a methodology to reveal the significant correlation between macroeconomic facts and the investments on telecom sector for Mexico, Indonesia, Nigeria and Turkey (MINT countries). Although each of the countries has their own characteristic market structure and requires a specialized management approach, it is possible to model a cross boundary analysis neutralized via the macroeconomic facts (Chircu & Mahajan, 2009). For example in their study, (Koski & Kretschmer, 2005) propose a three-dimensional model based on the entry time, service price and diffusion of the mobile telephony sector. There are also other studies with multiple-countries and single-equation approach (Doganoglu & Grzybowski, 2007). The telecom operators in a country are a part of information and communication technology (ICT) sector and we propose a statistical model for the correlation between the telecom industry and the gross domestic product (GDP) of the country. Also, the correlation function can be utilized for any formulation, far away from the market/industry differences or prediction purposes. Companies use strategic investments for expanding their strategic position and being flexible to dynamic environments (Smit & Trigeorgis, 2004). Strategic investments help companies to gain competitive advantage by cost reduction and product differentiation, which contribute the created value of the companies (Porter, 1980). Strategic investments can be made by mergers or acquisitions according to market growth potential and market share of the company or product (Davidson, 1985). While deciding about strategic investments, companies try to analyze uncertainty about the environment and reflect the effects of macroeconomic parameters to the companies. For instance, oil price volatility can be an important effect on investment decisions of the firms and decrease the investment level to a certain point (Henriques & Sadorsky, 2011).