Claim Missing Document
Check
Articles

Found 13 Documents
Search

Analysis of Current Ratio (CR), Debt To Equity Ratio (DER), Total Asset Turnover (TATO), Return On Assets on Share Prices in Mining Companies Ganesha, Dicky Tri; Sipahutar, Dayan Hakim Natigor; Sudaryo, Yoyo; Sofiati, Nunung Ayu
Eduvest - Journal of Universal Studies Vol. 4 No. 9 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i8.1798

Abstract

The share prices of mining companies included in the LQ 45 Index are unstable because they experience increases and decreases from 2018 to 2023 (5 years).  If the other independent variables remain constant, each increase is one unit Debt to Equity Ratio will reduce share prices -0.643. Then influence Total Asset Turnover to Share Prices in Mining Companies that are members of the LQ 45 Index for the 2018-2023 period is a significant and positive influence. If the other independent variables remain constant, each increase is one unit Total Asset Turnover will increase the share price by 0.453. Furthermore, the influence of ROA (Return On Asset) to Share Prices in Mining Companies that are members of the LQ 45 Index for the 2018-2023 period is a significant and negative effect. If the other independent variables remain constant, each increase is one unit Total Asset Turnover will lower the Share Price 1,060. and Current Ratio, Debt to Equity Ratio, Total Asset Turnover, ROA (Return On Asset) simultaneous significant effect on share prices in Mining Companies that are members of the LQ 45 Index for the 2018-2023 period with a percentage of 79% means that it is 79% Current Ratio, Debt to Equity RatiO,Total Asset Turnover and ROA (Return On Asset) to Stock Price and the rest 21% influenced by factor other than the variables studied.
Comparative Analysis Of Investment Return Calculations Between Single Index Model (SIM), Capital Asset Pricing Model (CAPM), And Arbitrage Pricing Theory (APT) In 8 Mining Company Sectors Noviani, Dinda; Sipahutar, Dayan Hakim Natigor; Sudaryo, Yoyo; Sofiati, Nunung Ayu; Sajekti, Tjipto
Eduvest - Journal of Universal Studies Vol. 4 No. 9 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i8.1799

Abstract

This study aims to analyze the comparative calculation of investment return rates between three models, namely Single Index Model (SIM), Capital Asset Pricing Model (CAPM), and Arbitrage Pricing Theory (APT), in eight mining company sectors listed on the Indonesia Stock Exchange (IDX 30). This study uses historical data from the mining company sectors to calculate and compare the investment return rates based on these three models. The research method used is statistical analysis to evaluate and compare the predicted investment return rates from the Single Index Model (SIM), Capital Asset Pricing Model (CAPM), and Arbitrage Pricing Theory (APT). The data used includes historical stock prices, company financial data, and relevant market data. The results of this study are expected to provide a better understanding of the effectiveness and advantages of each model in the context of mining companies listed on IDX 30. The results of this study show that the Single Index Model (SIM) indicates a moderate financial potential with an average value of 7,58, which is lower compared to CAPM. A high risk (beta) of 2,20 indicates that this investment has a higher risk than the market. On the other hand, the Capital Asset Pricing Model (CAPM) has a higher average return value of 19,15, indicating greater profit potential but also commensurate risk. The Arbitrage Pricing Theory calculation of 6,46, the lowest, reflects a more cautious calculation of return estimates. The inflation beta risk value of 100.924,50 and the deposit interest beta risk of 9.320,14 are very high.
Assessing the Drivers of Financial Distress in Indonesian Rattan SMEs through Digital and Financial Perspectives Sudaryo, Yoyo; Hamdani, Deni; Sofiati, Nunung Ayu; Sipahutar, Dayan Hakim Natigor; Sutisna, Sutisna
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 3 (2025): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i3.534

Abstract

This study's objectives are to ascertain the impact of variables that determine financial distress among Small and Medium-sized Enterprises (SMEs) during the COVID-19 pandemic and post-pandemic period, including the perception of SMS offenders, knowledge of digital marketing, and growth in net profits, as well as to offer solutions to the issues that SMEs face. In Cirebon a descriptive and verifying strategy is taken in the employment of quantitative methodologies in the research. Primary data were used. Gathering information from fieldwork and library research based on surveys distributed and previously published works on SMS's Rattan crimes registered with Cirebon's Micro & Medium Enterprises Cooperation Service. Verification statistics analysis procedures include the use of hypothetical testing with partial and simultaneous tests (f and t-test) as well as data analysis testing using double linear regression. One hundred respondents from SME victim Rattan Cirebon provided the sample data. IBM SPSS version 21.0 is the analytical program that was utilized to process the data. According to some of the research findings, financial distress is greatly impacted by the impression of SME offenders, is unaffected by knowledge of digital marketing, and is greatly impacted by an increase in net profit. Simultaneous research findings reveal that the perspective of SME offenders, comprehension of digital marketing, and growth in net profit have a noteworthy impact on financial Distress.