The asymmetric impact of foreign equity investment on the financial growth of Nairobi Stock Exchange [NSE]-listed firms. A Non-Linear Autoregressive Distributed Lag (NARDL) approach

Authors

DOI:

https://doi.org/10.51867/ajernet.7.3.134

Keywords:

Foreign Equity Investment, Financial Growth, Non-Linear Autoregressive Distributed Lag(NARDL), Nairobi Securities Exchange

Abstract

The current study examines the non-linear effect of foreign equity investment on financial performance of firms recorded on the Nairobi Securities Exchange (NSE) by utilizing Non-Linear Autoregressive Distributed Lag (NARDL) model.  Theories that are theoretically grounded for the findings are Internalization Theory and Pecking Order Theory. The study used a sample of 40 NSE-listed firms in 12 sectors from 2019-2024, motivated by structural gaps in previous linear models which masked the differences in the direction of capital flows. Foreign equity investment was split into positive partial sums (surges of investment) and negative partial sums (capital flight), so that both short-run and long-run estimation were asymmetric; and investment was transformed into an absolute rather than a relative concept by subtracting the steady state level of foreign investment from the foreign investment level. The Pesaran Bounds F-test indicated that foreign equity investment and financial growth are cointegrated in the long run (F=5.842) and rejected the null hypothesis of no asymmetric relationship between the two. The results of long-run multiplier estimates showed that the negative impact of capital flight on financial growth is significantly high (β⁻=0.894) relative to the positive impact of inflow surge (β⁺=0.412), which indicates that the negative impact on financial growth with the capital flight is almost twice the positive impact with the inflow surge. For the short run, inflow surges had a negative and slightly significant coefficient, similar to the asset bubble hypothesis in an illiquid frontier market. This error correction term (ECT=−0.324) validated that approximately 32.4% of disequilibrium is corrected monthly. Structural asymmetry was supported further by the results of the Wald test for both horizons. The study suggests policies to improve the role of domestic investors as a counterweight to foreign portfolio volatility. Overall, the study concludes that the observed asymmetry between capital inflow surges and capital flight calls for differentiated, asymmetry-sensitive policy responses to foreign equity investment among NSE-listed firm.

Downloads

Download data is not yet available.

References

Abeng, A. T., Alwi, W., Sauddin, A., Anugrawati, S. D., & Aeni, N. (2025). Autoregressive distributed lag (ARDL) method for estimating poverty levels in Polewali Mandar Regency. Jurnal MSA (Matematika dan Statistika serta Aplikasinya), 13(2), 172-183.

https://doi.org/10.24252/msa.v13i2.60197

Ali, A., & Audi, M. (2023). Analyzing the impact of foreign capital inflows on the current account balance in developing economies: A panel data approach. Munich Personal RePEc Archive. https://mpra.ub.uni-muenchen.de/118173/1/Draft5%2003082023%20For%20Ideas.pdf

https://doi.org/10.57017/jaes.v18.2(80).04

Alimov, B. (2022). The dynamic effects of debt and equity inflows: Evidence from emerging and developing countries. The Journal of Economic Asymmetries, 26, e00259.

https://doi.org/10.1016/j.jeca.2022.e00259

Batten, J. A., Boubaker, S., Kinateder, H., Choudhury, T., & Wagner, N. F. (2023). Volatility impacts on global banks: Insights from the GFC, COVID-19, and the Russia-Ukraine war. Journal of Economic Behavior & Organization, 215, 325-350.

https://doi.org/10.1016/j.jebo.2023.09.016

Buckley, P. J., & Casson, M. C. (2009). The internalisation theory of the multinational enterprise: A review of the progress of a research agenda after 30 years. Journal of International Business Studies, 40(9), 1563-1580.

https://doi.org/10.1057/jibs.2009.49

Chahar, P., Parashar, N., Pillai, D., & Joshi, A. (2026). Do international financial centres enable circular economy investment? Firm-level evidence from BRICS economies. Cogent Economics & Finance, 14(1), 2629043.

https://doi.org/10.1080/23322039.2026.2629043

Cole, S., Melecky, M., Mölders, F., & Reed, T. (2020, September 1). Long-run returns to impact investing in emerging markets and developing economies. National Bureau of Economic Research.

https://doi.org/10.3386/w27870

Delechat, C. C., Rawat, U., & Stepanyan, A. (2024). Navigating external shocks in Southeast Asia's emerging markets: Key lessons and challenges in applying the IMF's integrated policy framework. Departmental Papers, 2024(7). International Monetary Fund.

https://doi.org/10.5089/9798400285790.087

Derbali, A., & Lamouchi, A. (2020). Global financial crisis, foreign portfolio investment and volatility. Pacific Accounting Review, 32(2), 177-195.

https://doi.org/10.1108/PAR-07-2019-0090

Gachanja, S., & Kosimbei, G. (2018). Dynamic linkage between foreign equity flows and stock market returns at the Nairobi Securities Exchange. Strategic Journal of Business Change Management, 5(3), 201-215.

https://doi.org/10.61426/sjbcm.v5i3.815

Jeanne, O., & Sandri, D. (2023). Global financial cycle and liquidity management. Journal of International Economics, 146, 103736.

https://doi.org/10.1016/j.jinteco.2023.103736

Kartsonakis-Mademlis, D., & Dritsakis, N. (2022). Asymmetric volatility transmission in Japanese stock market in the presence of structural breaks. The Japanese Economic Review, 73(4), 647-677.

https://doi.org/10.1007/s42973-020-00051-x

Kumhof, M., Rungcharoenkitkul, P., & Sokol, A. (2020, December). How does international capital flow? (CEPR Discussion Paper No. DP15526). Centre for Economic Policy Research.

https://doi.org/10.2139/ssrn.3679836

Manyanga, W., Kanyepe, J., Chikazhe, L., & Manyanga, T. (2023). The effect of debt financing on the financial performance of SMEs in Zimbabwe. Cogent Social Sciences, 9(2), 2282724.

https://doi.org/10.1080/23311886.2023.2282724

Mwaniki, C. (2025, July 31). Top 5 firms raise their share of NSE wealth to 67 percent. Business Daily.

Nyeadi, J. D., & Adjasi, C. (2020). Foreign direct investment and firm innovation in selected sub-Saharan African countries. Cogent Business & Management, 7(1), 1763650.

https://doi.org/10.1080/23311975.2020.1763650

Ochenge, R. O., Ngugi, R., & Muriu, P. (2020). Foreign equity flows and stock market liquidity in Kenya. Cogent Economics & Finance, 8(1), 1781503.

https://doi.org/10.1080/23322039.2020.1781503

Ochieng, I., Olweny, T., Oluoch, O., & Ochere, G. (2019). Effect of foreign equity flows on stock market volatility in Kenya: Empirical evidence at Nairobi Securities Exchange. Journal of Finance and Investment Analysis, 8(3), 1-10.

https://doi.org/10.19044/esj.2019.v15n7p1

Omondi, O. C., Omoro, N., & Otieno, L. (2026). Joint effects of capital structure, interest rate sensitivity and market value of non-financial firms listed at Nairobi Securities Exchange in Kenya. Journal of Finance and Investment Analysis, 15(1), 1-2.

https://doi.org/10.47260/jfia/1512

Osoro, C., Simiyu, E., & Omagwa, J. (2020). Foreign capital flows and stock market capitalization at the Nairobi Securities Exchange, Kenya. European Journal of Business and Management, 12(26), 54-63.

Oyucho, O., Ochieng, I., & Agong, O. (2023). Foreign equity portfolio investments and market returns at the NSE20 Share Index, Kenya. International Journal of Finance and Accounting, 8(3), 1-21.

https://doi.org/10.47604/ijfa.2153

Pamba, D., Mukorera, S., & Moores-Pitt, P. (2025). The asymmetric effects of cross-border equity flow volatility on equity market returns in SANEK countries. Quantitative Finance and Economics, 9(1), 40-75.

https://doi.org/10.3934/QFE.2025002

Paul, J., & Feliciano-Cestero, M. M. (2020). Five decades of research on foreign direct investment by MNEs: An overview and research agenda. Journal of Business Research, 124, 800-812.

https://doi.org/10.1016/j.jbusres.2020.04.017

Theobald, S. (2022). Drivers of investment flows to emerging and frontier markets. Mobilising Institutional Capital Through Listed Product Structures (MOBILIST), The United Kingdom Government's Foreign, Commonwealth and Development Office.

Udeaja, E. A., & Audu, N. P. (2023). Asymmetric effect of external debt and foreign capital flows on economic growth: New evidence from Nigeria. Athens Journal of Business & Economics, 9(3), 345-368.

https://doi.org/10.30958/ajbe.9-3-6

Wang, P., Li, Y., & Liu, X. (2023). Asymmetric spillover between economic policy uncertainty and exchange rate volatility: A global network connectedness perspective. PLOS ONE, 18(1), e0279729.

https://doi.org/10.1371/journal.pone.0279729

Wawire, A. K., Simiyu, C. N., Laiboni, M., & Ochenge, R. (2026). Understanding volatility transmission from global commodity shocks to frontier financial markets: Machine learning, nonlinearities, and state dependence in Kenya. Journal of Risk and Financial Management, 19(5), 319.

https://doi.org/10.3390/jrfm19050319

Yao, C.-Z., & Jiang, H. (2026). Scale-dependent capital flows and systemic risk: Multifractal evidence from Mainland China-Hong Kong Stock Connect. International Review of Economics & Finance, 109, 105354.

https://doi.org/10.1016/j.iref.2026.105354

Zhu, A. (2022, September 6). Linear regression with OLS: Unbiased, consistent, BLUE, best (efficient) estimator. Towards Data Science. https://towardsdatascience.com/linear-regression-with-ols-unbiased-consistent-blue-best-efficient-estimator-359a859f757e/

Downloads

Published

2026-09-16

How to Cite

Serem, J. K. ., Nyarombe, F. N., & Kurere, C. K. (2026). The asymmetric impact of foreign equity investment on the financial growth of Nairobi Stock Exchange [NSE]-listed firms. A Non-Linear Autoregressive Distributed Lag (NARDL) approach. African Journal of Empirical Research, 7(3), 1737-1749. https://doi.org/10.51867/ajernet.7.3.134