Jurnal Tentang Financial Distress

Financial distress is a situation where a company is unable to pay its debts or meet its financial obligations. This situation can occur due to various reasons such as economic recession, mismanagement, competition, and unexpected events. In recent years, the issue of financial distress has become a major concern for both investors and policymakers. Therefore, many scholars have conducted research to explore the factors that lead to financial distress and its implications.

One of the studies related to financial distress is the journal article titled ‘Predicting Financial Distress of Companies: Revisiting the Z-Score and ZETA Models’ by Professor Altman. The article was published in the Journal of Banking and Finance in 2000. The aim of the study was to evaluate the effectiveness of the Z-Score and ZETA models in predicting financial distress.

The Z-Score model was developed by Altman in 1968, and it is a popular model used to predict the financial distress of companies. The model uses five financial ratios, including working capital to total assets, retained earnings to total assets, earnings before interest and taxes to total assets, market value of equity to book value of liabilities, and sales to total assets. The ZETA model, on the other hand, was developed by Altman and Hotchkiss in 1993. This model is an improvement of the Z-Score model, as it includes a measure of the volatility of earnings.

The study used a sample of 1,099 manufacturing companies listed on the New York Stock Exchange, American Stock Exchange, and Nasdaq. The data used in the study covered the period from 1985 to 1995. The study found that the Z-Score model was effective in predicting financial distress, as it correctly predicted 72% of the distressed companies in the sample. However, the ZETA model was found to be more effective, as it correctly predicted 80% of the distressed companies.

The study also found that the Z-Score and ZETA models were effective in predicting financial distress in different economic conditions, such as recessions and expansions. The study concluded that the ZETA model is more effective than the Z-Score model in predicting financial distress, especially in volatile economic conditions.

The findings of this study have important implications for investors and policymakers. Investors can use these models to assess the financial health of companies and make informed investment decisions. Policymakers can use these models to identify companies that are at risk of financial distress and develop policies to prevent such situations.

In conclusion, financial distress is a significant issue that affects companies, investors, and policymakers. The study by Altman provides insights into the effectiveness of the Z-Score and ZETA models in predicting financial distress. The study found that the ZETA model is more effective than the Z-Score model in predicting financial distress, especially in volatile economic conditions. Therefore, these models can be used by investors and policymakers to assess the financial health of companies and prevent financial distress.