Level Of Financial Health Research Articles

The Relationship between Financial Distress and Financial Health Prediction Model: A Study in Public Manufacturing Companies Listed on Indonesia Stock Exchange (IDX)

Financial distress prediction models of Altman, Springate, Zmijewski, Grover, and Khaira have been widely applied to predict financial distress and financial health. This study aims to analyze score correlations within the prediction results of the mentioned models applied in manufacture companies listed in the Indonesian Stock Exchange. The sample includes 30 companies which faced financial distress during economic crisis in 1997–1998 and, as comparison, incorporates 28 financially healthy companies. Observations were made during one and two years before the financial distress occurred, i.e. between 1995 until 1999, as well as from 2015 until 2018 to measure the financial health level in the companies. In this study, we use the correlation analysis. The results showed that models which have a strong and significant relationship at alpha 5% are models from Altman - Springate, Altman - Khaira, Springate - Khaira, and Zmijewski - Khaira. Grover model which does not have the predictor in the form of leverage, however has a weak correlation with other model as well as the actual condition

PENILAIAN TINGKAT KESEHATAN KEUANGAN PT POS INDONESIA (PERSERO) PERIODE 2016-2018

This study aims to analyze the development of health assessment indicators and the financial health condition of PT Pos Indonesia (Persero). This research used a quantitative approach. The analysis technique used for evaluating the level of financial health referred to the Decree of The Minister of State-Owned Enterprises No. Kep-100/MBU/2002. The data collection technique used was documentation studies sourced from the annual report of PT Pos Indonesia (Persero) from 2016 through 2018. The results showed that the development of the indicator value of return on equity, return on investment, and cash ratio decreased, while the value of collection periods, the ratio of equity to total assets, and inventory turn over increased. This study also found the fluctuated value of the current ratio and total asset turnover. The financial health assessment in 2016 and 2017 had a healthy predicate. However, in 2018, it had an unhealthy financial health assessment predicate. Therefore, the company needs to have better financial performance to achieve good financial health conditions that will finally affect all stakeholders.
 Keywords: financial health assessment, financial health development, financial performance, financial health predicate

Penilaian Tingkat Kesehatan Lembaga Perkreditan Desa Se-Kecamatan Denpasar Utara Tahun 2016-2017

The LPD contribution in the North Denpasar can sustain the financial economy of the community, especially the poor in the North Denpasar. The purpose of this study was to determine the development of the level of financial health at the Village Credit Institution (LPD) of North Denpasar in 2016-2017 with CAMEL analysis. The number of samples used was 10 LPDs in North Denpasar with a nonprobability sampling. Data collected through observation and interviews. Data analysis technique used is non-statistical quantitative approach. Based on the results, it was found that LPD in the North Denpasar in 2016-2017 with an average sample size of 10 LPDs were categorized as healthy, with CAMEL values above 80. The Ubung LPD for the year 2016-2017 obtained the highest CAMEL score of 99.60. The Kedua LPD in the period of 2016-2017 obtained the lowest CAMEL value, amounting to 81.45.
 Keywords: Capital; Asset; Management; Earnings; Liquidity.

Determinants of Stock Return: A Comparison of Financial Distress and Non Financial Distress Firms in Manufacturing Company Listed of Indonesia Stock Exchange

AbstractPurpose –The purpose of this study is to examine the difference of stock return between financial distress and non-financial distress firms and to examine the influence of financial health, financial leverage, liquidity, profitability, book to market equity and size to stock return on the manufacturing firms listed at Indonesia Stock Exchange in the period 2012-2016.Design/Methodology/Approach- The dependent variable in this study is the stock return (SR), while the independent variable are financial health, financial leverage, liquidity and profitability while the variable control are book to market equity and size. The method used is a non-parametric difference test using mann-whitney U and multi-regression panel data with dummy variable using fixed effect model.Findings - The findings obtained this study indicate that there is difference of stock return between financial distress and non-financial distress company, financial distress and financial leverage has a negative influence to stock return and there is positive influence profitability and size to stock return, while liquidity and book to market equity has no impact on stock return. The firms need to increase the level of financial health and increase corporate profits by reduce the level of corporate debt so it will increase the stock return.

MODEL PEMBERIAN PERINGKAT KINERJA PERUSAHAAN: STUDI PADA PERUSAHAAN ASURANSI JIWA DI INDONESIA

The purpose of this study is to provide an alternative rating company based on analysis on Profitability, RBC and Premium Expenses which are the main keys to the financial performance of Insurance Companies. This research uses the Fuzzy Tools Box approach from Matlab to see different assessment patterns. Data is collected using the documentation method of Financial Statements of Insurance Companies listed on the IDX in the last five years. The research subjects were as many as 10 insurance companies that met the criteria in Indonesia. The results showed that the first dominant insurance rating in taking insurance decisions was Lippo General Insurance, second Indonesian Reinsurance Insurance, third Multi Artha Guna insurance, fourth Ramayana insurance, fifth Harta Amana Pratama insurance, six Mitra Maparya insurance, seventh Jaya insurance Tania, the eight insurers of Bina Dana Arta, the ninth Dayin Mitra insurance, and the last rank of Bintang insurance which refers to the standard level of financial health of insurance companies. This study implies that the proposed ranking is a simpler and easier ranking alternative, but still has different benefits for decision makers.

THE ECONOMIC SITUATION OF RURAL COMMUNE OF MAKOWSKI POVIAT

The aim of the article is to assess the economic situation of rural communes in the county of Makowski at the end of 2016. The study uses figures derived from studies of the Ministry of Finance and data from the financial statements of individual municipalities for 2016 positively evaluated by the Regional Audit Chamber. The level of financial health was determined using the non-standard method of the synthetic indicator based on selected values of selected budget indicators and liabilities. It was confirmed that the financial condition of communes depends on the specificity of a given commune - its functions.

GOAL PROGRAMMING SEBAGAI DECISION SUPPORT SYSTEM TINGKAT KESEHATAN BANK PT BANK BUKOPIN, TBK

Abstract: This research aimed to analyze the changes in several objective priorities as the banking targets in the decision making process. The research applied goal programming model and based on the experiments on the financial data or ratios. The objective functions of the research were the ratios used to asses bank health level, namely: capital, Capital Adequacy Ratio (CAR), asset quality, Return on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), Operational Cost compared to Operating Income (BOPO) and Loan to Deposit Ratio (LDR). Results show that only capital and LDR targets achieved predominantly on a variety of priority setting. While the targets of CAR, asset quality, ROE, and NIM are not achieved predominantly on a variety of priority setting.
 Keywords: Capital, CAR, Asset Quality, ROA,ROE, NIM, BOPO, LDR, Financial Health Level.