Financial performance prediction tool based on firms’ internal capability determinants: a case of listed firms in Thailand during the transition period of going public

This study attempts to develop a financial performance prediction tool for listed firm in the Stock Exchange of Thailand (SET) during the transition period from one year before to four years after going public. Logistic regression is employed in this tool to build the financial prediction models based on two internal capability determinants, namely Firm Financial Strength (Liquidity, Leverage and Cost of Goods Sold) and Firm Characteristics (Asset Utilization, Tangibility and Company Size). The analysis is based on 111 listed firms that joined the Stock Exchange of Thailand (SET) between 2003 and 2014, inclusively. Decision makers can make use of the developed models in this tool to predict their firms’ financial performance in relative groups (high, medium and low performance groups) during the transition years when they become public. In addition, they can use the results of the prediction to prepare the most effective investment plan with the best strategy of when and how much should be invested for each relative type of firms in order to upgrade its financial performance in relative to other firms in the market.