This study aims to examine the effect of CR, DER and ROE on Financial Distress in Automotive Components subsector companies listed Indonesia Stock Exchange for period 2015-2019. Sampling using purposive sampling found 8 that meet criteria 13 as a sample. So sample studied was 40 data 5 years. research method uses quantitative descriptive verification approaches. Based results tests conducted SP...

the goal of this research was prioritize effective financial factors on price stock in tehran stock exchange with using topsis method. based on, it was reviewed literature and interviews and specially questionnaire obtain, effective financial factors to analysis with emphasize on topsis technique. the results shown in the entire ratio price to income, historical event share, eps and return on a...

Financial reports provide information needed when making decisions that act as intermediaries for financial transmission and measurement. If the company is late in sending requested report, it will get a warning. The purpose of this study was to examine effect firm size, profitability, solvency, KAP reputation on audit delay. population sample used research are 26 food beverage manufacturing co...

The development of various types businesses in Indonesia began to emerge the era globalization, causing business competition be increasingly fierce. This study aims analyze effect oversubscriptio ratio, underwriter reputation, firm size, and leverage on initial return. independent variables this are oversubscriptio, while dependent variable is sample a publicly listed company that has an public...

In this paper, the financial engineering minimum risk-based portfolio hedging model is first analyzed. It is then followed by the investigation on various major estimation methods for the minimum risk hedge ratio. The results revealed in the current study show that the HR obtained by the ordinary least squares (OLS) model is maximal and the out-of-sample hedging performance is the best; however...

Conventionally, linear and univariate time series models are broadly used in earning forecast. However, their forecasting accuracies are seriously limited without considering sufficient important factors. On the other hand, using more variables does not guarantee to obtain better forecasting accuracy and may cause inefficiency. The Multi-Objective Genetic Algorithms (MOGA) have been shown to be...