Currency Risk Exposure and Its Effect on the Performance of Import-Dependent Industries in Lusaka’s Manufacturing Sector from 2019 to 2023.
1Tsitsi, M. Musaluke, 2Chrine, C. Hapompwe
1,2ZCAS University, School of Business, 10101
https://doi.org/10.47191/jefms/v7-i7-55ABSTRACT:
Currency risk which is also known as exchange rate risk, is a significant factor affecting businesses engaged in international trade. In Lusaka’s manufacturing sector, many industries are heavily reliant on import of raw materials, technology, equipment, machinery, accessories, and components. Fluctuations in exchange rates can have profound implications on their cost structures, pricing strategies and overall financial performance. This study aimed to analyse the exposure to currency risk faced by import- dependent manufacturing industries in Lusaka and its effects on their performance from 2019 to 2023. The objectives of this study were to examine the key drivers of currency risk exposure on import dependent manufacturing industries, to analyse the effects of currency risk exposure on the financial performance of import dependent manufacturing industries in Lusaka, and to assess the effectiveness of risk management strategies in mitigating currency risk for import dependent manufacturing industries in Lusaka by the Bank of Zambia (BoZ). This research employed a mixed method approach. Quantitative data were collected from financial statements, exchange rate records, and economic reports. Key Performance Indicators (KPIs) such as profit margins and return on assets (ROA) were analysed in relation to exchange rate fluctuations. Additionally, qualitative data were gathered through interviews with industry experts and executives to understand their risk management strategies and operational challenges. The 10% rule was used to derive the sample size of 28 respondents from the 280-target population. Purposive and random sampling were used as techniques in which 28 were targeted for questionnaire administration on drop and pick basis. The preliminary findings indicate that significant exchange rate volatility between 2019 and 2023 has had a marked impact on manufacturing sector in Lusaka. Firms with robust hedging strategies and diversified sourcing were better able to mitigate negative effects, whereas those without measures experienced decreased profitability and increased financial strain. Also, this study reveals that external factors such as global economic conditions and domestic policy responses played a crucial role in shaping the extent of currency risk exposure. In conclusion, the analysis underscores the crucial need for effective currency risk management practices in import dependent industries. It also highlights the importance of policy interventions to stabilise macroeconomic environment and support the manufacturing sector’s resilience against exchange rate fluctuations. Recommendations for industry stakeholders include enhancing financial risk management capabilities, exploring alternative supply chain industries and advocating for supportive economic policies.
KEYWORDS:
Currency, Risk, Exposure, Effect, Performance, Import-Dependent Industries, Manufacturing Sector, 2019-2023, Lusaka.
REFERENCES:
1) Akuffo, J. A. (2020). The Inside Scoop What Stakeholders’ Think of Corporate Governance in Financial Institutions. In Corporate Governance and Accountability of Financial Institutions (pp. 279-314). Cham: Palgrave Macmillan
2) Banda, A.& Haabazoka, L. (2024) A Study of the Effect of Foreign Exchange Rates on the Financial Performance of Power Utility Companies in Zambia: A Case of Copperbelt Energy Corporation Plc International Journal of Engineering and Management Research IDO10.5281/zenodo.10825669
3) Bank of Zambia (2020). Financial Stability Report. Lusaka: BOZ
4) Bank of Zambia. (2022). Quarterly Economic Review, Fourth Quarter 2021. Bank Of Zambia.
5) Bank of Zambia (2022). Revision Of The Banking And Financial Services (Capital Adequacy) Regulations, 1995 – Request For Comments. A letter To All Heads of Financial Services Providers. Lusaka: BOZ.
6) Bollen A. & Emes C. (2008). Understanding customer relationships: How important is the personal touch. London: Ipos MORI.
7) Bryman, A. (2022). Social Research Methods. 6th ed. Oxford: Oxford University Press.
8) Chifwelu, W. M. (2020). The effect of risk management on the financial performance of insurance companies in Zambia (doctoral dissertation). Lusaka: Cavendish University
9) Choi J.J & Prasad A.M. (1995). Exchange risk sensitivity and its determinants: a firm and industry analysis of US multinationals. New York: Financial management.
10) Dalkin, S., Forster, N., Hodgson, P., Lhussier, M., & Carr, S. M. (2021). Using computer assisted qualitative data analysis software (CAQDAS; NVivo) to assist in the complex process of realist theory generation, refinement and testing. International Journal of Social Research Methodology, 24(1), 123-134.
11) De Araújo Lima, P. F., Crema, M., & Verbano, C. (2020). Risk management in SMEs: A systematic literature review and future directions. European Management Journal, 38(1), 78-94.
12) Fadun, O. S., & Oye, D. (2020). Impacts of Operational Risk Management on Financial Performance: A Case of Commercial Banks in Nigeria. International Journal of Finance & Banking Studies, 9(1), 22-35.
13) Faulkner, S. L., & Trotter, S. P. (2017). Theoretical saturation. The International Encyclopaedia of Communication Research Methods, 13(2) 1-2.
14) Francis J., & Kim D. (2013). Modern Portfolio theory: Foundation, analysis and new development. London: Wiley finance.
15) Hapompwe, C.C., Banda, N., and Chalwe, A.N. (2024). Examining Critical Success Factors for Africa’s Sustainable Industrial Development with Special Reference to Zambian Manufacturing Sector – Challenges, Prospects & Opportunities. Journal of Economics, Finance and Management Studies. Volume 07 Issue 01, 571-584. DOI: 10.47191/jefms/v7-i1-59. ISSN (print): 2644-0490, ISSN (online): 2644-0504
16) Kairu, E. K. (2016). Effects of the Exchange Rate Volatility on the Financial Performance of Commercial Banks in Kenya. Kenya: University of Nairobi Press.
17) Masheta, N. F. (2019). Assessment of the impact and efficiency of credit risk management on the profitability of five microfinance institutions in Zambia (Doctoral dissertation). Lusaka: Cavendish University.
18) Musonda, K. (2020). A Critical Analysis of the Internal Risk Management Practices of the Commercial Banks in Zambia: A Case Study of the Zambia National Commercial Bank (Doctoral dissertation). Lusaka: Unza Press
19) Mwanza, M., & Hülsbeck, M. (2020). Currency Risk Management Practices of Firms in Zambia: Empirical Evidence from Lusaka Province. Journal of Risk and Financial Management, 13(7), 147. DOI: 10.3390/jrfm13070147.
20) Ndhlovu, G., & Hapompwe, C.C. (2024). Exploring the Application of Entrepreneurial Innovation in Selected Food Processing (Dairy) and Manufacturing Firms in Lusaka. Journal of Economics, Finance and Management Studies, Volume 07, Issue 02. ISSN (print): 2644-0490, ISSN (online): 2644-0504. DOI: 10.47191/jefms/v7-i2-40.
21) Nermia P. (2019). Currency risk exposure and its determinants: Theoretical and empirical research. Sarajevo: University of East Sarajevo
22) O'Leary, Z. (2023). The Essential Guide to Doing Your Research Project (4th ed.). London: SAGE Publications.
23) Sichoongwe, K., Thompson, P.B., & Hapompwe, C. (2021). Applying the Growth Identification and Facilitation Framework: The Case of Zambia. Journal of Economics and Sustainable Development www.iiste.org. ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.12, No.14. DOI: 10.7176/JESD/12-14-01
24) Simwinga, J., & Mutambatsere, E. (2019). Exchange Rate Risk Management and Its Impact on the Financial Performance of Firms: A Case of Selected Listed Companies on the Lusaka Stock Exchange. International Journal of Financial Research,14(3),213-215
25) Smith, J. (2023). Effects of Urbanization on Local Wildlife. Environmental Studies Journal, 47(3), 234-256. http://doi.org/10.1234/esj123456
26) Tracy, S. J. (2013). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. Hoboken, NJ: Wiley-Blackwell.
27) Tsangarides C., Cottrell C., Milesi-Ferretti M. & Ghosh R. (2008). Exchange rate analysis in support of IMF surveillance: A collection of empirical studies New York: International Monetary Fund
28) Vogl, S. (2013), Telephone versus face-to-face interviews: mode effect on semi-structured interviews with children, Sociological Methodology, 43(1), 133-177.
29) Woods, M., Paulus, T., Atkins, D. P., & Macklin, R. (2016). Advancing qualitative research using qualitative data analysis software (QDAS)? Reviewing potential versus practice in published studies using ATLAS. ti and NVivo, 1994–2013. Social Science Computer Review, 34(5), 597-617.
30) World Bank. (2023). Zambia Economic Update: Navigating External Shocks. Washington, DC: World Bank.
31) Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: Sage.