Predicting financial distress among Small and Medium Enterprises (SMEs) can have a significant impact on the economy as it serves as an effective early warning signal. The study develops distress prediction models combining financial, non-financial and governance variables which were used to analyze the influence of major corporate governance characteristics, like ownership and board structures, on the likelihood of financial distress. Multiple Discriminant Analysis (MDA) model as one of the extensively documented approaches was used. The final sample for the estimation model consists of 172 companies with 50 percent non-failed cases and 50 percent failed cases for the period between 2000 to 2012. The prediction models perform relatively well especially in MDA model that incorporate governance, financial and non-financial variables, with an overall accuracy rate of 90.7 percent in the estimated sample. The accuracy rate in the holdout sample was 91.2 percent for the MDA model. This evidence shows that the models serve as efficient earlywarning signals and can thus be beneficial for monitoring and evaluation. Controlling shareholder, number of directors, and gender of managing director are found to be significant predictors of financially distressed SMEs.
This study uses a sample survey to analyse the capital budgeting practices of Cambodian companies in the manufacturing sector. The findings show that payback period, NPV, discounted payback period and accounting rate of return are the most popular evaluation techniques. The study also finds that interest rate risk as well as business cycle risk are mainly adjusted with a discount rate, and the commonly used method for calculating cost of capital is the after tax cost of debt and the weighted average cost of capital (WACC). Furthermore, the finding suggests that the longer the existence of a company, the more likely for it to use NPV method. The finding also reveals that the higher the amount of capital investment, the more it is likely to use the NPV method, while the smaller the amount of capital investment, the more likely the payback method will be used. With higher educational background, NPV and ARR are most likely the methods to be used in capital budgeting among the Cambodian firms.
The purpose of this paper is to investigate working capital financing preference among small businesses in Cambodia using a quantitative and qualitative approach. Small business often relies heavily on internal finance as a major source of short-term finance for working capital needs. This is because small businesses are likely to face problems associated with their size when accessing external finance, such as information asymmetry and higher agency costs. Interestingly, using descriptive statistics and inferential statistics, the findings lead us to believe that these firms mostly relied on internal sources (retained profit, early settlement discount, delayed payment to suppliers) of finance as compared to external sources (bank loan and equity). In some cases, they have to rely on informal sources (private, family, friend, money counting/lenders, funds/wealthy families, rotating savings and credit associations) to finance working capital requirement. These results suggest that firms experience significant information costs that prevent them from gaining access to traditional sources of financing. The findings of the study will be useful to the financial institutions that fund SMEs and can help the policymakers to formulate strategies and programs that will support SMEs at different stages of the financial chain in Cambodia.
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