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This study aims to determine the effect of Earning per Share (EPS), Return on Assets (ROA), Return on Equity (ROE), Current Ratio (CR), Deb to Equity Ratio (DER), Price to Book Value (PBV) on Returns. Share. The object of this research is the Indonesian Stock Exchange, mining companies in the coal industry sector for the 2019-2021 period. The research data used is secondary data with the sampling method using non-probability sampling. And the data analysis method is by calculating financial performance, determining stock returns using a sample of 19 companies. The results of this research have been tested on classical assumptions in the form of normality tests, multicollinearity tests, heteroscedasticity tests and autocorrelation tests as well as hypothesis tests in the form of t tests, f tests , determination test, and multiple linear regression test. The results of this study show that ESP partially has a negative effect on Stock Return, ROA partially  has a positive effect on Stock Return, ROE partially has a negative effect on Stock Return, CR partially has a positive effect on Stock Return, DER partially has a positive effect on Stock Return, and PBV partially has a negative effect on Stock Return.    

This study aims to analyze the effect of Profitability, Liquidity, and Company Size on Firm Value. The independent variable is Profitability as measured by Return On Assets, Liquidity measured by the Current Ratio, and the size of the company which is measured by Size, while the dependent variable is the value of the company which is measured by using Price To Book Value. The approach used in this research is a quantitative approach. The population in this study are all food and beverage sub-sector companies listed on the Indonesian stock exchange in 2018-2021. The sample in this study was obtained using a purposive sampling method so that a sample of 19 companies was obtained with a total of 65 data. The analysis technique used is multiple linear regression analysis using SPSS version 25 as a tool in the calculation. The results of this study indicate that Profitability has a positive and significant effect on Firm Value with a p-value significance of 0.019 (<0.05). Liquidity has no significant negative effect on firm value with a p-value of 0.268 (> 0.05). Firm size has a positive and significant effect on firm value with a p-value of 0.009 (<0.05). Together based on simultaneous tests of Profitability, Liquidity, and Firm Size have a positive and significant effect on Firm Value.

The purpose of this study was to determine the effect of Liquidity, Earning Asset Quality, and Operational Efficiency on the stock price of banking companies. The stock price in the capital market will determine the value of a company, where the performance and health of the company affect its share price, as well as the views of investors.This research is descriptive quantitative research. The population in this study are publicly listed banking companies in Indonesia which are listed on the Indonesia Stock Exchange (IDX) for the 2016-2020 period. The sample used in this study were 20 companies using the purposive sampling method. The data analysis technique used is multiple linear regression, classical assumption test, t test, F test, and the coefficient of determination R Square.The results of the partial test or t test show that Liquidity (LDR) has no significant effect on stock prices, Earning Asset Quality (NPL) has a positive and significant effect on stock prices and Operational Efficiency has a negative and significant effect on stock prices. While the simultaneous test or F test shows that together Liquidity (LDR), Earning Asset Quality (NPL) and Operational Efficiency (BOPO) have a simultaneous effect on stock prices.

Stock returns are generated by investors from buying and selling activities of the stocks they own. The generated return is determined by the increase or decrease in the stock prices. These prices are formed by the fundamental performance of the company. The purpose of this research is to examine the influence of factors such as financial distress, firm size, liquidity, and price to cash flow from operating activities on stock return. This study was conducted on transportation and logistics companies during the period of 2019-2022. A total of 22 companies were selected as samples for this research, using purposive sampling method and obtaining 88 relevant research data. The relationship between the dependent variable and independent variables was analyzed using multiple linear regression. The hypothesis test showed that the variable of financial distress, analyzed using the Zmijewski method, did not have any significant influence on stock return. Firm size, measured by total assets, was also not found to have a significant impact on stock return. The analysis of liquidity using the current ratio did not find a significant influence on stock return. However, price to cash flow from operating activities showed a significant and positive influence on stock return. This factor can be taken into consideration by investors and potential investors when analyzing the financial fundamentals of transportation and logistics companies before investing, as it has an impact on stock return.

This study aims to find out how much expected return and optimal portfolio risk and the best model between the Markowitz model and the single index model in forming optimal portfolios in banking sub-sector companies for the 2018-2022 period. This type of research includes applied quantitative descriptive. The research data uses secondary data in the form of stock closing prices, JCI and monthly BIC interest rates. The survey population is 29 companies. Data analysis uses the Markowitz model and single index model. The results showed that the stocks that make up the optimal portfolio with the Markowitz model are 12 company stocks that provide an expected return of 1.41%, an absolute risk of 4.48%, and a relative risk of 318.96%. While the single index model consists of 10 company stocks that provide an expected return of 4.65%, an absolute risk of 10.21%, and a relative risk of 219.68%. The research results are expected to contribute to investors, that the single index model is better than the Markowitz model.

The company’s value is evidence that the entity has tried to run the company’s operation well with maximum profit and is a useful indicator for investors and shareholders, as it describes the success of an entity that can be seen from the price of shares. From that understanding it was decided to testing and proving the significance of profitability (ROE), company size (SIZE), leverage (DER), and liquidity (CR) towards company’s value (PBV). This type of research is the entire property and real estate companies listed on the Indonesian Stock Exchange (IDX) and sampling using purposive sampling with the final sample of 90 surveys. Double linear regression for data analysis methods using the help of SPSS software. From this study obtained results and proved that profitability (ROE) and leverage (DER) have an influence towards company’s value. Whereas, company’s size (SIZE) and liquidity (CR) proved to have no influence towards company’s value.

Penelitian ini bertujuan menganalisis faktor fundamental terhadap harga saham pada perusahaan sektor pertambangan yang terdaftar di BEI tahun 2018-2022. Variabel yang digunakan dalam penelitian ini yaitu Price Earning Ratio (PER), Earning per Share (EPS), Return on Asset (ROA), Current Ratio (CR) dan Debt to Equity Ratio (DER). Jumlah populasi yang diolah sebanyak 55 perusahaan dan sampel yang digunakan dengan pengambilan teknik sampling jenuh yaitu seluruh jumlah populasi. Data yang digunakan berupa data sekunder yang diperoleh dari laporan keuangan perusahaan sektor pertambangan yang dipulibkasi di Bursa Efek Indonesia tahun 2018-2022. Penelitian ini menggunakan kuantitatif deskriptif. Analisis data menggunakan metode klasifikasi dengan algoritma decision tree. Hasil penelitian menggunakan metode klasifikasi algoritma decision tree diperoleh nilai akurasi yang tinggi dengan nilai Kappa dan AUC yang tinggi yang menunjukkan kinerja sangat baik dalam membedakan antara kelas positif dan negatif serta kesesuaian antara label kelas dengan nilai sebenarnya. Nilai precision yang tinggi menunjukkan kemampuan model mengidentifikasi dengan benar dan recall yang tinggi menunjukkan kemampuan mendeteksi dataset yang baik

This study aims to determine whether there is an influence of the variables of inflation, interest rates, and exchange rates on stock prices in metal sub-sector companies and the like listed on the Indonesia Stock Exchange for the period 2016 - 2021. The population in this study were all metal sub-sector companies and the like as many as 16 companies, then the researchers used a sampling technique using purposive sampling method. The results of this study indicate that the probability value of the inflation variable of 0.1955 is greater than the significant value of 0.05 so that inflation has no partial effect on stock prices. The interest rate variable has no significant effect partially on stock prices where the probability value of 0.2426 is greater than the significant value of 0.05. The exchange rate variable has a partially significant effect on stock prices where the probability value of 0.0247 is smaller than the significant value of 0.05. Inflation, interest rate, and exchange rate variables together have a significant effect on stock prices where the F-statistic probability value of 0.000 is smaller than the significant value of 0.05.

One  of  the   fundamental  analysis  that  usually  used  by  investors  and security analize to value the stock price is by price earning ratio(PER) approach. This research have as a purpose to examine influence factors DPR, DER, NPM, Firm Size, CR to PER. This study aims to examine the factors Dividend Payout Ratio (DPR), Debt to Equity Ratio (DER), Net Profit Margin (NPM), Firm Size, and Current Ratio (CR) of Price Earning Ratio (PER) on Manufacture companies listed in Indonesia Stock Exchange for 2010 - 2012. This  study  used  the  entire  population  of Manufacture  companies  listed  in Indonesia Stock Exchange (BEI) in 2010 until 2012, a total of 396 companies. The samples  using  48  companies  on  manufacturing  companies sector. Type of data is secondary data from each manufacturing companies listed on the Indonesia  Stock  Exchange  for three  years  in 2010, 2011, 2012.  The samples are taken by purposive sampling. Data analysis use multiple regression analysis, method  which  initial  by classical  test  for  normality,  multicollinearity test, heteroskedastisitas test and autocorrelation test. Hypothesis test is using the F tes, t test, and koefisien determinasi R2. In  the  classical  assumption  test  results  showed  that  there  were  no  deviations classical assumption, this shows that the available data has been qualified to use multiple linier  regression  model.  From  this  reseach  the  following  conclusion  :  the  DPR variable is positif and not effect on PER, variabel DER has negative and not effect on PER, NPM variable has negative and not effect on PER, Size  variable  has positive  and effect  on  PER,  and CR variable  has positif and  not effect on  PER.  Regression  equation  obtained  is PER =-4.196+0.074 DPR-0.596 DER-0.166 NPM + 0.961 Firm Size+0.245 CR. Coefficient  of determination  (adjusted  R2)  is 10 %  which  means 10 %  of  PER  is influenced  by  the independent  variables,  whereas  the  remaining  balance  of  90%  is  explained  by  other variable not prensented in the study.

This research aims to determine the effect of Loan to Deposit Ratio (LDR) and Non-Performing Loans (NPL) on stock at PT Bank Negara Indonesia (BNI) Tbk for 2013-2022. This research uses 2 (two) independent variables That is Loan to Deposit Ratio (LDR) and Non Performing Loan (NPL) and 1 (one) dependent variable stock's price. This research is using quantitative methods, data analysis uses descriptive statistical techniques, classical assumption tests, multiple linear regression, hypothesis testing and coefficient of determination. Data processing uses SPPS 26 software. Based on test results on variables with 10 years of data. The Multiple Linear Regression Test Equation is Y = 19,248.185 – 106.314X1 – 1,563.302X2. In the coefficient of determination test, it was found that the influence of LDR and NPL on share prices was 10%, while the remaining 90% was influenced by other factors. Based on the results of the t test, tcount for LDR was 0.612 < ttable 2.365 and the value of Sig. 0.560 > 0.05 means that there is no partial significant influence between LDR on share prices. and NPL tcount of 0.872 < ttable 2.365 and Sig value. 0.412 > 0.05, which means that there is no partial significant influence between NPL on share prices. In the simultaneous test the LDR and NPL variables do not have a significant effect on share prices with Fcount being smaller than Ftable (0.693 < 4.74).

This research aims to determine the effect of Loan to Deposit Ratio (LDR) and Non-Performing Loans (NPL) on stock at PT Bank Negara Indonesia (BNI) Tbk for 2013-2022. This research uses 2 (two) independent variables That is Loan to Deposit Ratio (LDR) and Non Performing Loan (NPL) and 1 (one) dependent variable stock's price. This research is using quantitative methods, data analysis uses descriptive statistical techniques, classical assumption tests, multiple linear regression, hypothesis testing and coefficient of determination. Data processing uses SPPS 26 software. Based on test results on variables with 10 years of data. The Multiple Linear Regression Test Equation is Y = 19,248.185 – 106.314X1 – 1,563.302X2. In the coefficient of determination test, it was found that the influence of LDR and NPL on share prices was 10%, while the remaining 90% was influenced by other factors. Based on the results of the t test, tcount for LDR was 0.612 < ttable 2.365 and the value of Sig. 0.560 > 0.05 means that there is no partial significant influence between LDR on share prices. and NPL tcount of 0.872 < ttable 2.365 and Sig value. 0.412 > 0.05, which means that there is no partial significant influence between NPL on share prices. In the simultaneous test the LDR and NPL variables do not have a significant effect on share prices with Fcount being smaller than Ftable (0.693 < 4.74).

This research aims to find out the influence of Return On Equity (ROE) and Net Profit Margin (NPM) on stock prices. The independent variables used are Return On Equity (ROE) and Net Profit Margin (NPM) and the dependent variable used is Share Price. This research method is associative with a quantitative approach. The sample in this research is the annual financial report of PT Mayora Indah Tbk for the 2013-2022 period. A total of 10 data can be processed. Data were tested using descriptive statistical test methods, classical assumption tests (normality test, multicollinearity test, heteroscedasticity test, and autocorrection test), multiple linear regression analysis, coefficient of determination test and hypothesis test (T test and F test) with a significance level of 5%, then the data was processed using IBM SPSS Statistics Version 25. The results of this research show that partially the Return On Equity (ROE) variable has a negative and significant effect on stock prices. The research results based on the results of the t test (partial test) show that the calculated t value > t Table -3.179 > 2.365 and the significance value is 0.016 < 0.05 so Ho is rejected and Ha is accepted. Partially, the Net Profit Margin (NPM) variable has a positive and significant effect on share prices. The research results based on the results of the t test (partial test) show that the calculated t value > t table value or 3.216 > 2.365 and seen from the significance value of 0.015< 0.05, so Ho is rejected and Ha is accepted . Simultaneously the variables Return On Equity (ROE) and Net Profit Margin (NPM) variables have a significant effect on share prices. The research results based on the F test (simultaneous test) the value of Fvalue > Ftable or 5.360 > 4.737 with a significance value of 0.039 < 0.05, so Ho is rejected and Ha is accepted. The Result of testing the coefficient o0f determination can be concluded that the two independent variables influence stock price by 49.2% while the remaining 50.8% is influenced by other factors not examined in this research.

Sumi Lala.202010325238. Portofolio Construction On The Indonesia Stock Exchange (BEI) Using The Markowitz method (Empirical Study Of Kompas 100 period December 2014 – September 2023). Investment development is currently very rapid. Ownership of 2 or more items can called a portofolio.Investments will experience increases and decreases in the portofolio. This research aims to understand the level of  return of portofolios formed through Markowitz and also a comparison between portfolios returm with market capitalization and weighting. The shares in the portfolio are shares listed on the Kompas 100 Index. This research uses end of month data for the period December 2014 to September 2023.The results of this research found that 61 shares included in the portolio did not have a negative weight.the next result of this research is that the market rate of return portolio (IHSG) Significantly influences the rate of return of the portfolio that has been formed based on market capitalization significantly 1% Other macro variables US Dollar exchange rate.Interest rates and oil prices do not significantly affect the rate of return portfolios formed based on Market Capitalization.

Competition in the industrial world after the impact of Covid-19 has become fierce competition. Many companies choose to increase effectiveness and efficiency by implementing digitalization in production and sales activities. PT. Megarhizo Ega Persada is a company that is developing, a company whose main production is liquid organic fertilizer under the brand "Megarhizo". Production activities still use manual bookkeeping processes. So it takes a long time for distribution from the warehouse to the production location. Miscalculations often occur in warehouses resulting in inappropriate production targets, due to insufficient or expired materials due to being in the warehouse for too long. This problem often occurs because the recording process is not thorough and results in stock buildup or stock shortages in the warehouse. So we need a system that can easily and quickly manage data so that these things don't happen again. Digitalization of the sales process is a solution to this problem, fertilizer products are products that are different from other production, because fertilizer is a product that is monitored so the price of fertilizer should not burden the public. By digitizing sales, companies can directly monitor stock and products sold from each distribution location to the resellers. So the number of products sold and prices can still be monitored, besides that the company can also find out the effectiveness of fertilizer production.

The Indonesian capital market recovered in 2021 after a decline due to the COVID-19 pandemic in 2020. The role of the capital market is crucial for economic growth, and investors need to pay attention to factors such as financial reports and company performance. Investors in LQ45 companies, consisting of 45 stocks with high liquidity, make selections based on transactions and market capitalization. This research focuses on the influence of Earning Per Share (EPS), Return On Assets (ROA), Debt to Equity Ratio (DER), and Price to Book Value (PBV) on the stock prices of LQ45 companies in the period 2018-2021. The research problem involves questions about the influence of each ratio on stock prices. The research objective is to examine the influence of these ratios. The results of the research are expected to provide important information for readers about the factors affecting stock prices and insights for researchers into the dynamics of the capital market. This research can also serve as a reference for further studies. The results of the analysis indicate that Earning Per Share (EPS), Return On Assets (ROA), Debt to Equity Ratio (DER), and Price to Book Value (PBV) significantly influence the stock prices of LQ45 companies.

Analyzing the impact of PBV, DER, and PER on stock prices, including the influence of PBV and DER on PER, and the intervening role of PER in the PBV and DER dynamics, this study involves nine pharmaceutical companies listed on the Indonesia Stock Exchange, utilizing SmartPLS software. Findings indicate PBV significantly affects stock prices, whereas DER and PER show negligible impact. Both PBV and DER do not influence PER, and PER refrains from intervening in the interplay between PBV and DER concerning stock prices. Despite investor assessments prioritizing book value over indebtedness, the EPS-represented stock acquisition holds minimal influence on investor decisions, leading to PER's inconspicuous impact on stock prices. Contributions of DER and PER to stock values, implications of PBV and DER on PER, and PER's intervening role in the PBV-DER dyad have relatively small effects on stock prices. Consequently, the hypotheses, except for PBV's distinctive influence on stock valuations, are rejected in this intricate analysis.

The growth of the capital market in Indonesia is currently of great interest to the public. Being an investor in the capital market provides benefits, but each investment instrument certainly has its own risks. This research aims to provide information to potential investors at PT Harum Energy (HRUM) using fundamental analysis and technical analysis with data obtained through online websites that provide information regarding company financial reports and candle chart patterns or price history of a company. Provide views to determine which issuer to choose. Fundamental analysis by looking at the value of Earning per Share (EPS), Price Earning Ration (PER), Debt Equity Ration (DER). Then technical analysis using the theory of Patern Chart Patterns, golden crosses, Relative Strength Index (RSI). The results of this research provide results that can later be considered when choosing PT Harum Energy shares as an investment option.

Return is one of the aspects that motivates investors to engage and is also a reward for the investor's courage in bearing the risks of the investment they make. The aim of this research is to determine the effect of Return on Equity, Current Ratio, price earnings ratio, Debt to Equity Ratio and total assets turnover on stock returns in companies included in the LQ-45 index on the Indonesia Stock Exchange in the period 2016-2021. The population in this research are companies on the Indonesian Stock Exchange in the 2016-2021 period. The sampling technique in this research used purposive sampling. Empirical findings prove that NPL ratio factors affect firm value, while other factors namely; Company growth (FG), CAR, Loans (LDR), BOPO, DPK Growth (DG) and profitability partially do not affect the value of the company (Tobin's Q), but affect the value of the company (Tobin's Q) together.

This literature study aims to introduce the main fundamental analysis and stock valuation methods that daily equity traders apply in choosing stocks for their active equity portfolios. Daily equities traders rely mostly on technical charts and other tools to identify patterns that can suggest potential activity without assessing a stock’s intrinsic value for trading decisions. Chart analysis is designed to find trades with high probability outcomes by establishing precise price targets. The goal of this technical paper is to emphasize the significance of fundamental analysis in the investment choices of daily traders. Fundamental analysis is based on the careful comparisons of a stock’s intrinsic value to the current market price. If the stock’s intrinsic value is higher than the market price, it is reasonable for a fundamental investor/trader to purchase the stock. This paper endorses the idea that using both investment techniques would result in more successful investing decisions for equities traders.

This research explores the evaluation of financial performance in banking companies through financial ratio analysis and case studies. Analyzing three banks – BNI, BRI, and Bank Mandiri – reveals variations in stock prices, financial efficiency, and net profit performance. The conclusion is that BNI's stock is undervalued, BRI's is overvalued, and Bank Mandiri's situation is mixed. Although debt ratios are safe, both ROA and ROE fall below standards. However, operational efficiency is reflected in a healthy NPM. This study provides in-depth insights into the complexity of banking companies' performance.