Deciphering the Global Private Financial Flows
Abstract
Cross border and inter country financial recourse is like a civilization hold. It is fundamentally important phenomenon to study. Purpose of this study is to investigate inter country global private financial flows in context of current financial regimes. Design of the study is quantitative based on a secondary data taken from website of World Development Indicators (WDI) 2020. A literature review of relevant studies extracted from renowned research databases is also integral part of the overall design of the study. For the purpose of analysis and investigation the study uses Grey Relational Analysis (GRA). GRA is a mathematical technique capable of handling a multitude of alternatives with plenty of criteria simultaneously. It is a ranking technique that generates the reference series, normalizes the data and compares the weighted average grey coefficients with reference series. GRA is a popular methodology espoused in grey systems theory. It is the study of eighty-three countries on the basis of five different criteria. The countries have been ranked according to Grey relational grades by using rank function of excel and are divided into seven different categories on the basis of intensity of financial flows. The categories have been made on the basis of ordinal scale e.g. exceptionally high level of private global financial flows, excellent, very good, good, fair, poor and very poor. Results show that China, Niger, Brazil, Mozambique, Mongolia, St. Vincent and the Grenadines, Cambodia, Grenada, Thailand, Indonesia, Argentina and Maldives have exceptionally high private financial flows, whereas, countries namely Lesotho, Kazakhstan, Uzbekistan, Botswana, Guatemala, Solomon Islands, Afghanistan, Bolivia, Bhutan, Angola and Russian Federation have poor financial flows. Majorly, Arabian Countries (AC), Organization for Economic Co-operation and Development (OECD) and Union of South American Nations (UNASUR) countries fall under exceptionally high ensign, whereas, member countries of Economic Cooperation Organization (ECO) and Southern Africa Development Community (SADC) countries fall under very poor ensign. This study is useful for political governments, international agencies, researchers and academia (students and teachers of international finance). It also provides new information and deeper insights by way of assigning grey relational grades to countries and classifies them into seven groups. It also extends discussion to enlighten upon bloc level position.
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References
Anwar, S., & Cooray, A. (2015). Financial flows and per capita income in developing countries. International Review of Economics & Finance, 35, 304-314. DOI: https://doi.org/10.1016/j.iref.2014.10.009
Bayoumi, T., Gagnon, J., & Saborowski, C. (2015). Official financial flows, capital mobility, and global imbalances. Journal of International Money and Finance, 52, 146-174. DOI: https://doi.org/10.1016/j.jimonfin.2014.11.017
Bazilian, M., Nussbaumer, P., Gualberti, G., Haites, E., Levi, M., Siegel, J., ... & Fenhann, J. (2011). Informing the financing of universal energy access: An assessment of current financial flows. The Electricity Journal, 24(7), 57-82. DOI: https://doi.org/10.1016/j.tej.2011.07.006
Binici, M., Hutchison, M., & Schindler, M. (2010). Controlling capital? Legal restrictions and the asset composition of international financial flows. Journal of International Money and Finance, 29(4), 666-684. DOI: https://doi.org/10.1016/j.jimonfin.2010.01.001
Carnevali, E., Deleidi, M., Pariboni, R., & Passarella, M. V. (2020). Cross-border financial flows and global warming in a two-area ecological SFC model. Socio-Economic Planning Sciences, 100819. DOI: https://doi.org/10.1016/j.seps.2020.100819
Cavallaro, E., & Cutrini, E. (2019). Distance and beyond: What drives financial flows to emerging economies? Economic Modelling, 81, 533-550. DOI: https://doi.org/10.1016/j.econmod.2018.06.001
Combes, J. L., Kinda, T., Ouedraogo, R., & Plane, P. (2019). Financial flows and economic growth in developing countries. Economic Modelling, 83, 195-209. DOI: https://doi.org/10.1016/j.econmod.2019.02.010
Cova, P., & Natoli, F. (2020). The risk-taking channel of international financial flows. Journal of International Money and Finance, 102, 102096. DOI: https://doi.org/10.1016/j.jimonfin.2019.102096
Dieleman, J. L., Schneider, M. T., Haakenstad, A., Singh, L., Sadat, N., Birger, M., ... & Murray, C. J. (2016). Development assistance for health: past trends, associations, and the future of international financial flows for health. The Lancet, 387(10037), 2536-2544. DOI: https://doi.org/10.1016/S0140-6736(16)30168-4
Ertuğrul, İ., Öztaş, T., Özçil, A., & Öztaş, G. Z. (2016). Grey relational analysis approach in academic performance comparison of university a case study of Turkish universities. European Scientific Journal, Special Edition, 128-139.
Glomsrød, S., & Wei, T. (2018). Business as unusual: the implications of fossil divestment and green bonds for financial flows, economic growth and energy market. Energy for sustainable development, 44, 1-10. DOI: https://doi.org/10.1016/j.esd.2018.02.005
Guthrie, T., Zikusooka, C., Kwesiga, B., Abewe, C., Lagony, S., Schutte, C., ... & Brenzel, L. (2015). Mapping financial flows for immunisation in Uganda 2009/10 and 2010/11: new insights for methodologies and policy. Vaccine, 33, A79-A84. DOI: https://doi.org/10.1016/j.vaccine.2014.12.053
Hamzaçebi, C., & Pekkaya, M. (2011). Determining of stock investments with grey relational analysis. Expert Systems with Applications, 38(8), 9186-9195. DOI: https://doi.org/10.1016/j.eswa.2011.01.070
Hobza, A., & Zeugner, S. (2014). Current accounts and financial flows in the euro area. Journal of International Money and Finance, 48, 291-313. DOI: https://doi.org/10.1016/j.jimonfin.2014.05.019
Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & industrial engineering, 55(1), 80-93. DOI: https://doi.org/10.1016/j.cie.2007.12.002
Lim, J. J., & Mohapatra, S. (2016). Quantitative easing and the post-crisis surge in financial flows to developing countries. Journal of International Money and Finance, 68, 331-357. DOI: https://doi.org/10.1016/j.jimonfin.2016.02.009
Obstfeld, M. (2012). Financial flows, financial crises, and global imbalances. Journal of International Money and Finance, 31(3), 469-480. DOI: https://doi.org/10.1016/j.jimonfin.2011.10.003
Qazi, T. F., Basit, A., Asghar, W. & Niazi, A. A. K. (2020). Composite appraisal of women development in selected thirty-six countries with special focus on Pakistan: Applying grey incidence analysis model. Journal of Business and Social Review in Emerging Economies, 6(4), 1227-1236. DOI: https://doi.org/10.26710/jbsee.v6i4.1406
Tayyar, N., Akcanlı, F., Genç, E., & Erem, I. (2014).Evaluating the financial performance of companies operating in the field of informatics and technology registered in BIST by analytical hierarchy process (AHP) and gray relational analysis (TIA) method. Accounting and Finance Journal, 61, 19-40. DOI: https://doi.org/10.25095/mufad.396447
World Development Indicators. (2020). Retrieved April 15, 2020, from http://wdi.worldbank.org/tables
Wu, H. H. (2002). A comparative study of using grey relational analysis in multiple attribute decision making problems. Quality Engineering, 15(2), 209-217. DOI: https://doi.org/10.1081/QEN-120015853
Young, A. T., & Tackett, M. Y. (2018). Globalization and the decline in labor shares: Exploring the relationship beyond trade and financial flows. European Journal of Political Economy, 52, 18-35. DOI: https://doi.org/10.1016/j.ejpoleco.2017.04.003
Zhang, S. F., Liu, S. Y., & Zhai, R. H. (2011). An extended GRA method for MCDM with interval-valued triangular fuzzy assessments and unknown weights. Computers & Industrial Engineering, 61(4), 1336-1341. DOI: https://doi.org/10.1016/j.cie.2011.08.008

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