Modelling the Country Risk of Zambia

Journal of Political Risk, Vol. 10, No. 3, March 2022

By Simon Muwando, Victor Gumbo, and Gelson Tembo

Abstract

The world has experienced a dramatic increase in the flow of transnational investments following increased internationalization and globalization of firms in the previous decade. Country risk exposure is a cause for concern for all the institutions that are engaged in multinational trade and finance. The main objective of this study is modelling Zambia’s country risk. A mixed method with concurrent research design was employed. Personal interviews were the main instrument for collection of primary data and snowball sampling was used to select the interviewees. Secondary data was collected from the Lusaka Stock Exchange (LSE), Ministry of Finance, Bank of Zambia and Central Statistical Office. An autoregressive distributed lag technique was employed on annual data for the 1994 to 2018 period. This approach was chosen as it works best for small samples. The findings of the study revealed that the short run drivers for country risk of Zambia are beta, current account balance, political risk, unemployment rate and weighted short term interest rates. Current account balance was found to positively affect country risk while beta, political stability, and weighted short term interest rates negatively influence it.  The study findings established that the long run determinants of country risk of Zambia are current account balance, betas, political risk, and unemployment rate. From the study findings, current account balance positively influences country risk of Zambia whereas beta, and political stability negatively influence country risk of Zambia. The study concluded that the major determinant of country risk of Zambia in the short run and long run is current account balance as it has significant positive influence. Effective policies need to be implemented by authorities to manage or reduce persistent current account deficits and political risk, in order to manage country risk.

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