Trade Automation, Transaction Costs and Performance of Securities Markets in East African Community, Within Member States

Authors

  • Charles Omwega Kunyoria University of Nairobi
  • Duncan Elly Ochieng’ (PhD) University of Nairobi
  • Johnbosco Mutuku Kisimbii (PhD) University of Nairobi

DOI:

https://doi.org/10.53819/81018102t2501

Abstract

Despite the adoption of trade automation to enhance trading processes, the performance of securities markets globally remains suboptimal, with market participants reporting declining market capitalization and increased volatility. These challenges are aggravated by fragmented market structures, where each market include East Africa Community (EAC) markets operate with unique inefficiencies, such as limited access to real-time information and deviations from the efficient market hypothesis. High transaction costs, such as brokerage and settlement fees, further deter trading activity, eroding potential gains from automation. While trade automation is expected to streamline operations and improve price discovery, its implementation in the EAC has produced mixed results, with some studies suggesting it exacerbates market instability. The interplay between trade automation and transaction costs remains inadequately understood, particularly in emerging markets like the EAC. In particular, the research aimed to establish the effect of transaction costs on the relationship between trade automation and performance of securities markets in EAC. Utilizing a descriptive cross-sectional research design, secondary data were collected from the four established securities exchanges in the EAC for the period 2015 to 2024. The analysis employed regression techniques using Stata software to evaluate the relationships among the variables. The results indicated that transaction costs, particularly clearing and settlement fees, significantly moderate the relationship between trade automation and market performance of securities in EAC. Thus, policymakers and regulators should focus on reducing brokerage fees, which have a significant negative impact on market performance, by implementing streamlined processes and cost-effective policies. Additionally, clearing and settlement fees should be optimized while efforts to enhance performance through improved trading systems and better dissemination of market information are crucial, as efficiency positively influences market outcomes.

Keywords: Trade Automation, Transaction Costs, Performance, Market Securities,  East African Community

Author Biographies

Charles Omwega Kunyoria, University of Nairobi

Department of Finance and Accounting, Faculty of Business and Management Sciences, University of Nairobi

Duncan Elly Ochieng’ (PhD), University of Nairobi

Department of Finance and Accounting, Faculty of Business and Management Sciences, University of Nairobi

Johnbosco Mutuku Kisimbii (PhD), University of Nairobi

Department of Finance and Accounting, Faculty of Business and Management Sciences, University of Nairobi

References

Abdullahi, M., & Peters, D. (2023). Advanced algorithms and the optimization of trade execution. Global Financial Technology Review, 21(2), 110–124.

Ackert, L. F., Qi, L., & Zou, L. (2022). Security transaction taxes and market efficiency: A review. Journal of Financial Markets, 45(3), 285-308.

Adams, J., Hayunga, D., Mansi, S., Reeb, D., & Verardi, V. (2019). Identifying and treating outliers in finance. Financial Management, 48(2), 345-384.

Addy, W. A., Ajayi-Nifise, A. O., Bello, B. G., Tula, S. T., Odeyemi, O., & Falaiye, T. (2024). Machine learning in financial markets: A critical review of algorithmic trading and risk

Akech, P., & Otieno, S. (2023). Regulatory harmonization and cross-border investment flows in East Africa. African Journal of Financial Integration, 7(2), 115–131.

Aldridge, I., & Krawciw, S. (2022). Real-time risk: What investors should know about algorithmic trading. Wiley Finance Series.

Amol, A. (2023). The Effects of Regional Integration on State Sovereignty: a Case Study of the East African Community (EAC) (Dissertation, University of Nairobi).

Aspris, A., Dyhrberg, A. H., Foley, S., Krekel, W., & Putnins, T. J. (2025). Is Decentralized Always Better? How Market Structure Affects Trading Costs for Tokenized Assets. How Market Structure Affects Trading Costs for Tokenized Assets.

Avgouleas, E., & Kiayias, A. (2019). The promise of blockchain technology for global securities and derivatives markets: the new financial ecosystem and the ‘holy grail’of systemic risk containment. European Business Organization Law Review, 20, 81-110.

Baltagi, B. H. (2024). Hausman’s Specification Test for Panel Data: Practical Tips. In Essays in Honor of Subal Kumbhakar (pp. 13-24). Emerald Publishing Limited.

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.

Basu, A., & Michayluk, D. (2022). Stock exchange development and financial integration in emerging markets. Journal of Emerging Market Finance, 21(1), 25–48.

Bhatia, M. S., Chaudhuri, A., Kayikci, Y., & Treiblmaier, H. (2024). Implementation of blockchain-enabled supply chain finance solutions in the agricultural commodity supply chain: a transaction cost economics perspective. Production Planning & Control, 35(12), 1353-1367.

Biais, B., Foucault, T., & Moinas, S. (2021). Equilibrium prices and transaction costs. Journal of Financial Economics, 141(2), 458-479.

Bouchaud, J. P., & Potters, M. (2022). Market microstructure in the age of automation. Quantitative Finance, 22(3), 345–362. https://doi.org/10.1080/14697688.2022.2031143

Bozic, I., & Bozic, A. (2025). Commercial Banking and Financial Stability: Evaluating Internal and External Determinants. Journal of Business and Economic Options, 8(1), 1-14.

Brogaard, J., Hendershott, T., & Riordan, R. (2020). High-frequency trading and the 2008 short-sale ban. Journal of Financial Economics, 98(3), 403-419.

Bukenya, M., & Odhiambo, N. M. (2024). Capital market development and economic growth in the East African Community: A comparative study. Journal of African Financial Studies, 14(1), 77–95.

Bwakira, D., & Mwangi, A. (2023). Market performance disparities in East African stock exchanges: Challenges for regional integration. East African Journal of Economics, 12(3), 201–218.

Cao, M., & Wei, J. (2020). The role of algorithmic trading in enhancing market efficiency and reducing transaction costs. Journal of Financial Economics, 96(2), 318-338.

Chacha, J., & Gekara, M. (2023). Barriers to Capital Market Integration in the EAC: A Regulatory Perspective. East African Economic Policy Journal, 11(2), 112–129.

Courdent, A., & McClelland, D. (2022). The impact of algorithmic trading on market quality: Evidence from the Johannesburg Stock Exchange. Investment Analysts Journal, 51(3), 157-171.

Cuypers, I. R., Hennart, J. F., Silverman, B. S., & Ertug, G. (2021). Transaction cost theory: Past progress, current challenges, and suggestions for the future. Academy of Management Annals, 15(1), 111-150.

Decker, C. (2023). Modern economic regulation: An introduction to theory and practice. Cambridge University Press.

Degryse, H., & Nguyen, G. (2020). Algorithmic trading and its impact on market efficiency and transaction costs. Review of Financial Studies, 33(2), 447-481.

Degryse, H., & Nguyen, T. (2022). Algorithmic trading and market efficiency: An emerging market perspective. Journal of Empirical Finance, 68, 149–165.

deHaan, E. (2021). Using and interpreting fixed effects models. Available at SSRN 3699777.

Dimov, D. (2022). Conceptual model of automated trading systems implementation. ROBONOMICS: The Journal of the Automated Economy, 3, 25-25.

Dubey, R. K. (2022). Algorithmic trading: the intelligent trading systems and its impact on trade size. Expert Systems with Applications, 202, 117279.

Easley, D., & O'Hara, M. (2022). Trade automation, transaction costs, and their effects on market efficiency: An empirical analysis. Journal of Financial and Quantitative Analysis, 57(4), 1237-1258.

East African Community (EAC). (2023). Capital Markets Regionalisation. Retrieved from https://www.eac.int/financial/capital-markets-regionalisation

Gomber, P., Haferkorn, M., & Zimmermann, K. (2020). Securities Trading: Between Transactions, Information, and Liquidity Costs. Journal of Financial Markets, 48, 100496.

Hasbrouck, J. (2017). Algorithmic trading and price discovery. Journal of Trading, 12(1), 8-16.

Hasbrouck, J. (2022). High-frequency trading and price discovery. Journal of Finance, 77(2), 589–627.

Herman, P. R., & Oliver, S. (2023). Trade, policy, and economic development in the digital economy. Journal of Development Economics, 164, 103135.

Hossain, S. (2022). High-frequency trading (HFT) and market quality research: an evaluation of the alternative HFT proxies. Journal of Risk and Financial Management, 15(2), 54.

Hu, E., & Liano, K. (2016). The impact of automation on market efficiency. Journal of Financial Markets, 32, 1-18.

Hu, M., & Liano, K. (2022). Impact of trade automation on market efficiency. Journal of Financial Markets, 45, 101250

Jiang, W., & Wang, J. (2021). Market efficiency in the presence of high-frequency trading and transaction costs. Journal of Financial Economics, 140(3), 829-849.

Jiang, Y., Hu, Y., Haleem, F., Tao, S., & Zeng, S. (2023). Trade automation and market quality: Evidence from the Australian Securities Exchange. International Review of Financial Analysis, 87, 102606

Kang, H. J., Lee, S. G., & Park, S. Y. (2022). Information efficiency in the cryptocurrency market: The efficient-market hypothesis. Journal of Computer Information Systems, 62(3), 622-631.

Kang, J., Wang, Y., & Otieno, E. (2022). Market efficiency and anomalies in frontier economies: Evidence from the East African stock markets. African Journal of Economic Policy, 29(3)

Kumar, R., & Sinha, P. (2023). Comprehensive metrics for assessing securities market performance: A quantitative and qualitative approach. Journal of Financial Analysis, 29(3), 215-232.

Lekhal, M., & El Oubani, A. (2020). Does the Adaptive Market Hypothesis explain the evolution of emerging markets efficiency? Evidence from the Moroccan financial market. Heliyon, 6(7).

Li, Y., & Zhang, L. (2023). The role of market facilitation and liquidity in securities market performance. International Journal of Financial Markets, 12(2), 142-158.

Makau, D., Njeru, R., & Musyoka, L. (2021). The effectiveness of regional integration on trade facilitation: Evidence from EAC customs union. Journal of Regional Economic Policy, 8(4), 139–158.

Makau, J. M., Onjala, J., & Muluvi, A. (2021). Understanding the Impact of Simplified Trade Regimes on Informal Cross-Border Trade in East Africa. Journal of Development Studies, 57(8), 1234-1248.

Mallikarjunappa, T., Saldanha, D., & Hawaldar, I. T. (2025). Do stock markets exhibit cyclical market efficiency? Emerging markets’ perspective. Cogent Economics & Finance, 13(1), 2476094.

Matanda, D., & Karugia, K. (2023). Historical development and modernization of the Nairobi Securities Exchange. Journal of Financial History and Markets, 5(1), 13–28.

Menkveld, A. J. (2020). The economics of high-frequency trading: Taking stock. Annual Review of Financial Economics, 12, 1–24. https://doi.org/10.1146/annurev-financial-110119-111116

Menkveld, A. J. (2021). High-Frequency Trading and the New-Market Makers. Journal of Financial Markets, 50, 100546.

Menkveld, A. J. (2023). High-Frequency Trading and Market Liquidity: Empirical Developments. Journal of Financial Markets, 63, 100801.

Menkveld, A. J., Yueshen, B. Z., & Zhu, H. (2022). Shades of darkness: A pecking order of trading venues. Journal of Financial Economics, 144(1), 103–128.

Mhlongo, N. Z., Falaiye, T., Daraojimba, A. I., Olubusola, O., & Ajayi-Nifise, A. O. (2024). Artificial intelligence in stock broking: A systematic review of strategies and outcomes. World Journal of Advanced Research and Reviews, 21(02), 1950-1957.

Moh’d, H. A. (2021). Evolution of stock exchanges in the EAC: Historical trajectories and institutional legacies. African Capital Markets Review, 11(3), 56–72.

Mõttus, R., Wood, D., Condon, D. M., Back, M. D., Baumert, A., Costantini, G., ... & Zimmermann, J. (2020). Descriptive, predictive and explanatory personality research: Different goals, different approaches, but a shared need to move beyond the Big Few traits. European Journal of Personality, 34(6), 1175-1201.

Mugo, R., & Kiragu, M. (2024). Evaluating trade automation in securities market performance: Insights from Kenya and Rwanda. Journal of Financial Technology and Policy, 3(2), 88–102.

Mutua, J., & Kaburu, P. (2024). Policy coordination and technological adaptation in EAC financial markets. East African Economic and Policy Review, 5(2), 143–161.

Nagle, F., Seamans, R., & Tadelis, S. (2020). Transaction cost economics in the digital economy: A research agenda. Strategic Organization, 14761270241228674.

Nalwenge, D. O., & Jagongo, A. A. (2021). Daily effect and the returns of stocks listed at the Nairobi Securities Exchange in Kenya. International Academic Journal of Economics and Finance, 3 (7), 221, 238, 2.

Nanyanzi, S., & Rurangwa, J. (2024). Information asymmetry and trade facilitation among small-scale traders in the EAC. African Journal of Informal Economy, 7(1), 35–52.

Ndegwa, P. & Mwangi, J. (2022). Transaction Costs and Digital Integration in Sub-Saharan African Capital Markets. African Journal of Finance and Economic Policy, 14(2), 33–49.

Ndung’u, A., & Mugambi, M. (2024). EASRA’s role in regional market harmonization: Progress and prospects. African Journal of Regulatory Studies, 4(3), 112–130.

Oladokun, S. O. (2023). Property valuation under uncertain market conditions: a case of the Lagos property market. Journal of African Real Estate Research, 2(1), 1–15.

Owade, W. (2023). Capital market reforms and market efficiency: case of the Nairobi Securities Exchange, Kenya (Dissertation, Strathmore University).

Oyeniyi, L. D., Ugochukwu, C. E., & Mhlongo, N. Z. (2024). Analyzing the impact of algorithmic trading on stock market behavior: A comprehensive review. World Journal of Advanced Engineering Technology and Sciences, 11(2), 437-453.

Park, A. (2023). The conceptual flaws of decentralized automated market making. Management Science, 69(11), 6731-6751.

Qian, L., & Dong, L. (2025). Convergence of blockchain and ai in global finance: Cross-border payment innovations and adaptive trading algorithms. interactions, 5, 6.

Roeck, D., Sternberg, H., & Hofmann, E. (2020). Distributed ledger technology in supply chains: A transaction cost perspective. International Journal of Production Research, 58(7), 2124-2141.

Salehpour, A., & Samadzamini, K. (2023). Machine learning applications in algorithmic trading: a comprehensive systematic review. International Journal of Education and Management Engineering, 13(6), 41.

Schrimpf, S., & Sushko, V. (2020). "Beyond LIBOR: a primer on the new benchmark rates." BIS Quarterly Review. Retrieved from BIS.

Singireddy, A., Chigbo, E., & Matar, H. (2024). Transaction Cost Economics and Financial Infrastructure in Frontier Markets. Global Economic Review, 53(1), 89–106.

Su, E., & Tokmakcioglu, K. (2021). A comparison of bid-ask spread proxies and determinants of bond bid-ask spread. Borsa Istanbul Review, 21(3), 227-238.

Tao, R., Su, C. W., Xiao, Y., Dai, K., & Khalid, F. (2021). Robo advisors, algorithmic trading and investment management: Wonders of fourth industrial revolution in financial markets. Technological Forecasting and Social Change, 163, 120421.

Tremacoldi-Rossi, P. (2022). Financial Regulation and Automation Adoption: Evidence from Stock Trading Firms. Available at SSRN 4288923.

UNECA. (2024). EAC Regional Integration Progress Report. United Nations Economic Commission for Africa. Retrieved from https://www.uneca.org

van Kervel, V., & Menkveld, A. J. (2020). High-frequency trading around large institutional orders and its impact on market efficiency. Journal of Financial Economics, 129(2), 140-159.

Wambugu, N., & Githinji, M. (2022). Determinants of market capitalization in East African stock

Williamson, O. E. (1975). Markets and Hierarchies: Analysis and Antitrust Implications. Free Press.

Williamson, O. E. (1985). The Economic Institutions of Capitalism. Free Press.

Zhang, X., & Wang, S. (2023). Information incorporation and price adjustment in financial markets: New evidence from high-frequency data. Journal of Finance and Economics, 52(4), 789-811.

Zhu, H., & Zhang, X. (2020). Market Liquidity and the Automation of Trading: Friend or Foe? Management Science, 66(10), 4487-4508.

Zhu, Q., Bai, C., & Sarkis, J. (2022). Blockchain technology and supply chains: The paradox of the atheoretical research discourse. Transportation Research Part E: Logistics and Transportation Review, 164, 102824.

Downloads

Published

2025-07-25

How to Cite

Kunyoria, C. O., Ochieng’, D. E., & Kisimbii, J. M. (2025). Trade Automation, Transaction Costs and Performance of Securities Markets in East African Community, Within Member States. Journal of Finance and Accounting, 9(2), 76–100. https://doi.org/10.53819/81018102t2501

Issue

Section

Articles