This study aims to determine, test, and analyze the effect of the current ratio, cash ratio, debt to asset ratio, debt to equity ratio, return on assets, and return on equity on stock prices with dividend policy as an intervening variable. The case study in this study is a metal mining sector company listed on the Indonesia Stock Exchange (IDX) for the period 2015 – 2020. This study is quantitative with data analysis techniques used as descriptive analysis using financial ratio analysis. Collection by collecting financial reports on the website www.IDX.co.id in 2015-2020. The population in this study consisted of 11 sub-sector companies. The research sample was five companies, and the sampling technique used purposive sampling. The data analysis method used in this research is using SmartPLS version 3.0. The results show that the current and cash ratios are unrelated to dividend policy. Debt to asset and debt to equity ratios are unrelated to dividend policy. Return on assets and return on equity are also not significant to dividend policy. The current ratio and cash ratio have a significant effect on stock prices. Debt to asset ratio and debt to equity ratio significantly affect stock prices. Return on assets and return on equity have a significant effect on dividend policy. And dividend policy has a significant effect on stock prices, so that dividend policy can be an intervening variable on stock prices in metal mining sector companies listed on the Indonesian Stock Exchange (IDX) for the 2015-2020 period.

This study aims to find the effect of the independent variables on the dependent variable through intervening variables. The sample in this study is partly the number of PNS Litbangkes employees 304 people. There are five types of variables that will be used in this study: digital leadership style (X1), career development (X2), organizational culture (X3), performance (Y) and organizational commitment (Z). This study uses SEM analysis and AMOS application with a quantitative approach through distributing questionnaires with 50 statements of research results, it can be concluded: (1) There is a significant influence between the independent variable Digital Leadership Style (X1) on the variable Employee Performance (Y) through the Intervening variable ( Z) Organizational Commitment, (2) there is a significant influence between the independent variable Career Development (X2) on the variable Employee Performance (Y) through the Intervening variable (Z) Organizational Commitment (3) there is a significant influence between the independent variable Organizational Culture (X2) on devenden variable (Y) Employee Performance through Intervening variable (Z) Organizational Commitment.

Indonesia has entered the era of globalization where increased as well as economic growth in countriesaround the world, including indonesia provide impact on behavioral finance indonesian society in. meettheir needsMany individuals who spend money to hal-hal milenial that would be no essential but it can raisemore money from time to time, let alone use the money to invest.This report is in order to test and analyzethe influence of variable, financial literacy , lifestyle revenues over behavioral finance with the productprice as variable no intervening to a mere company pt kobexindo tractors tbk recorded for years 2020-2021.The population in this research are employees of the company pt kobexindo tractors tbk.Obtained thenumber of samples from 790 employees, Then that would meet characteristic samples have been made on anotation big formula and a margin of error set 10 %, so that the total sample 89. Employees Analysistechniques used are a model of measurement and structural model.Statistical methods used in this researchwhich is structural equation modeling (SEM) operated through a program smartpls.The conclusion ofresearch results show that: (1) financial literacy significant positive on behavioral finance, (2) lifestylesignificant positive on behavioral finance, (3) income significant positive on behavioral finance, (4)financial literacy significant positive on the product price, (5) lifestyle no significant positive on the productprice, (6) income significant positive on the product price, (7) the product price significant positive onbehavioral finance.