This study aims to identify the factors that influence the decision of companies to go public in Sri Lanka, where many qualified companies remain private despite meeting the listing requirements. The data are collected through a survey, and the analysis is conducted using exploratory factor analysis, binary logistic regression and structural equation modelling. The findings reveal that financing for future growth at a lower cost of capital, corporate image and liquidity, ownership and control rights, market establishments, company size, age and sector impact the decisions, while information and compliance costs and market efficiency do not.
Executive Summary
Listing companies on the stock exchange offers numerous benefits for the companies, investors and the economy. However, few companies have been listed on the Colombo Stock Exchange (CSE), a frontier market—specifically, only 285 of 109,810 registered firms, constituting a 0.26% listing rate that relegates Sri Lanka to frontier-market classification despite regulatory accommodations comparable to regional benchmarks. This study aims to identify the factors that influence the decision of companies to go public in Sri Lanka, where many qualified companies remain private despite meeting the listing requirements. The data are collected through a survey of higher authorities who influence the decision of relevant companies, and the analysis is conducted using exploratory factor analysis, binary logistic regression and structural equation modelling. The findings reveal that financing for future growth at a lower cost of capital, corporate image and liquidity, ownership and control rights, market establishments, company size, age and sector impact the decisions, while information and compliance costs and market efficiency do not. These results establish boundary conditions for canonical initial public offering theories developed in mature markets, demonstrating that frontier-market dynamics systematically diverge from developed-economy patterns. Policymakers should attract more local and foreign investors, enhance trading platforms, increase international recognition and liquidity and educate potential companies about the benefits of listing. These efforts may help dispel misunderstandings and fears surrounding the loss of ownership and control rights. This study builds upon the limitations of previous research, which relied solely on descriptive statistics or binary logistic regression, and moves beyond them. Instead, it utilizes method triangulation, employing both binary logistic regression and partial least squares structural equation modelling, to analyse the complex causal relationships among variables and provide a deeper assessment of the decision to go public.