Improvement of Management Policy

Oct 13, 2025 by magicalceylontours.com 52 views

Analysis of Bankruptcy Predictions in Banking Companies Listed on the Indonesia Stock Exchange: A Study Using the Altman Z-Score Method

Introduction

The banking sector plays a vital role in the economic stability of a country. Bankruptcy predictions are a crucial aspect that can affect the economic stability of a country. This study aims to evaluate the predictions of bankruptcy among banking companies listed on the Indonesia Stock Exchange during the 2015 to 2017 period. The method used in this study is the Altman Z-Score, which is a widely known analytical tool to predict the possibility of bankruptcy of a company.

The Importance of Bankruptcy Predictions

Bankruptcy predictions are essential in the banking world as they can affect the economic stability of a country. A bank's financial health is a critical factor in determining its ability to fulfill its obligations and maintain stability in the financial system. The Altman Z-Score method is a widely used tool to predict the possibility of bankruptcy of a company. This method relies on four main variables: liquidity ratio, profitability, leverage, and asset turnover.

The Altman Z-Score Method

The Altman Z-Score method is a widely known analytical tool to predict the possibility of bankruptcy of a company. This method relies on four main variables:

Liquidity Ratio (X1): Measuring the ability of banks to fulfill its short-term obligations.
Profitability (X2 and X3): Describe the operational efficiency of the bank in generating profits.
Leverage (X4): Shows how much bank debt compared to the total assets.

In this analysis, the Z-Score results are categorized into three groups:

Z-Score > 2.6: Bank is categorized as healthy.
1.1 < Z-Score < 2.6: The bank is in the gray area, with the risk of bankruptcy that depends on management policies.
Z-Score < 1.1: Bank is categorized as high-risk conditions and the possibility of bankruptcy is very large.

Research Methodology

This study uses the Altman Z-Score method to evaluate the predictions of bankruptcy among banking companies listed on the Indonesia Stock Exchange during the 2015 to 2017 period. The data used in this study is based on the published annual financial statements of the banks.

Research Results

Based on the results of the study, during the 2015-2017 period, there was a significant fluctuation in the financial health of these banks. The following is a summary of each year:

2015

43.59% The bank experienced bankruptcy predictions with Z-Score values below 1.1.
30.77% is in the gray area.
25.64% Bank declared healthy.

2016

46.15% The bank experienced bankruptcy predictions, showing an alarming increase.
28.21% is in the gray area.
25.64% remain in good health.

2017

Banks with healthy conditions increased to 28.20%.
30.77% is in the gray area.
41.03% The bank is predicted to be in a bankrupt state, signifying the deterrent trend.

Analysis and Conclusion

Seeing the trend of the data obtained, it can be concluded that although there is an increase in the percentage of a healthy bank in 2017, the percentage of bank that is threatened with bankruptcy remains significant. This shows that the factors that influence the financial health of the bank in Indonesia are still not completely resolved.

Management policy is one of the keys to avoiding bankruptcy. Responsive management in facing economic challenges and implementing effective strategies is very important. Therefore, it is important for investors and stakeholders to pay attention to the financial statements and Z-Score of the bank as an indicator of financial health that can guide investment decisions.

Implications of the Study

The existence of a healthy bank not only affects the bank itself, but also in the country's economy as a whole. Strict monitoring of financial indicators and the application of good risk management strategies will be a fundamental step in maintaining the stability of the banking sector in Indonesia.

Recommendations

Based on the findings of this study, the following recommendations are made:

Improvement of Management Policy: Banks should improve their management policies to avoid bankruptcy.
Implementation of Effective Strategies: Banks should implement effective strategies to improve their financial health.
Monitoring of Financial Indicators: Banks should monitor their financial indicators regularly to ensure that they are in good health.
Application of Good Risk Management Strategies: Banks should apply good risk management strategies to minimize the risk of bankruptcy.

Conclusion

In conclusion, this study has evaluated the predictions of bankruptcy among banking companies listed on the Indonesia Stock Exchange during the 2015 to 2017 period using the Altman Z-Score method. The results of the study show that there was a significant fluctuation in the financial health of these banks during the study period. The study recommends that banks should improve their management policies, implement effective strategies, monitor their financial indicators regularly, and apply good risk management strategies to minimize the risk of bankruptcy.
Q&A: Bankruptcy Predictions in Banking Companies Listed on the Indonesia Stock Exchange

Introduction

In our previous article, we discussed the analysis of bankruptcy predictions in banking companies listed on the Indonesia Stock Exchange using the Altman Z-Score method. In this article, we will answer some frequently asked questions related to the study.

Q: What is the Altman Z-Score method?

A: The Altman Z-Score method is a widely known analytical tool to predict the possibility of bankruptcy of a company. It relies on four main variables: liquidity ratio, profitability, leverage, and asset turnover.

Q: What are the four main variables used in the Altman Z-Score method?

A: The four main variables used in the Altman Z-Score method are:

Liquidity Ratio (X1): Measuring the ability of banks to fulfill its short-term obligations.
Profitability (X2 and X3): Describe the operational efficiency of the bank in generating profits.
Leverage (X4): Shows how much bank debt compared to the total assets.

Q: How are the Z-Score results categorized?

A: The Z-Score results are categorized into three groups:

Z-Score > 2.6: Bank is categorized as healthy.
1.1 < Z-Score < 2.6: The bank is in the gray area, with the risk of bankruptcy that depends on management policies.
Z-Score < 1.1: Bank is categorized as high-risk conditions and the possibility of bankruptcy is very large.

Q: What are the implications of the study?

A: The existence of a healthy bank not only affects the bank itself, but also in the country's economy as a whole. Strict monitoring of financial indicators and the application of good risk management strategies will be a fundamental step in maintaining the stability of the banking sector in Indonesia.

Q: What are the recommendations of the study?

A: Based on the findings of this study, the following recommendations are made:

Improvement of Management Policy: Banks should improve their management policies to avoid bankruptcy.
Implementation of Effective Strategies: Banks should implement effective strategies to improve their financial health.
Monitoring of Financial Indicators: Banks should monitor their financial indicators regularly to ensure that they are in good health.
Application of Good Risk Management Strategies: Banks should apply good risk management strategies to minimize the risk of bankruptcy.

Q: What are the limitations of the study?

A: The study has some limitations, including:

Data Availability: The study relies on published annual financial statements, which may not be comprehensive or up-to-date.
Methodological Limitations: The Altman Z-Score method may not capture all the factors that influence a bank's financial health.

Q: What are the future research directions?

A: Future research directions may include:

Extension of the Study Period: The study period can be extended to include more recent data.
Inclusion of Other Variables: Other variables, such as market value and credit rating, can be included in the analysis.
Comparison with Other Methods: The Altman Z-Score method can be compared with other methods, such as the Zmijewski Z-Score method.

Conclusion

In conclusion, this Q&A article has provided answers to some frequently asked questions related to the analysis of bankruptcy predictions in banking companies listed on the Indonesia Stock Exchange using the Altman Z-Score method. The study has implications for the banking sector in Indonesia and provides recommendations for banks to improve their financial health.