scholarly journals ANALISIS FAKTOR –FAKTOR YANG MEMPENGARUHI KEPUTUSAN INVESTASI PADA PERUSAHAAN PERTAMBANGAN LOGAM DAN MINERAL YANG TERDAFTAR DIBURSA EFEKINDONESIA

2020 ◽  
Vol 3 (2) ◽  
pp. 283-288
Author(s):  
Eko Deswin Miechaels Siringo-Ringo ◽  
Keyword(s):  
Panel Data ◽  
Time Series Data ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Series Data ◽  
Net Income ◽  
Mineral Mining ◽  
Mining Companies ◽  
Inventory Turnover

his study aims to analyze whether Net Profit, Leverage, Liquidity, Inventory Turnover, and Profitability have an influence on investment decisions of metal and mineral mining companies listed on the Indonesia Stock Exchange during 2018 and 2019. The population in this study are metal and mineral mining companies. listed on the Indonesia Stock Exchange, amounting to 11 companies. And 7 metal and mineral mining companies in this study were used as samples. Sources of data used in this study are secondary data, the data used are the financial statements of metal and mineral mining companies sampled obtained through the Indonesia Stock Exchange published on the website www.idx.co.id. The analytical method used in analyzing the data in this study is panel data regression analysis. The sampling method used is the panel data method which is a combination of cross section data and time series data. The independent variables in this study are Net Income, Leverage, Liquidity, Inventory Turnover, Profitability, and thedependent variable namely Investment Decision. The results of this study indicate that Leverage,and Profitabilityhave a positive effect on Investment Decisions,Liquidity, and Inventory Turnover, while Net Income has a negative effect on Investment Decisions.Keywords: Investment Decision, Net Income, Leverage,Liquidity, Inventory Turnover, and Profitability

scholarly journals Investment Decisions through Total Asset Growth toward Price to Book Value on the Jakarta Islamic Index

2021 ◽  
Vol 12 (1) ◽  
pp. 63-74
Author(s):  
Syaugi Syaugi ◽  
Aulia Rahmah
Keyword(s):  
Stock Price ◽  
Time Series Data ◽  
Investment Decision ◽  
Investment Decisions ◽  
Study Data ◽  
Total Asset ◽  
Series Data ◽  
Book Value ◽  
Investment Decision Making ◽  
Asset Growth

This research analyzes the effect of investment decisions through Total Asset Growth (TAG) on Price to Book Value (PBV). Since PVB indicates stock measurement based on the ratio of stock price to book value, it is used by investors to assess the price offered. This research uses time-series data from 2014-2020 to examine seven companies selected using purposive sampling but based on fairly good asset developments from 2014 to 2020. Furthermore, this quantitative causal study data were collected using documentation from various sources and analyzed using a simple linear regression test. The results show that the TAG variable has no effect on PBV with a significance value of 0.89 0.05. This shows that TAG does not describe a stable company and is not always useful in investment decision-making.

scholarly journals KINERJA PASAR DITINJAU DARI ASPEK KEPEMILIKAN MANAJERIAL KEPUTUSAN INVESTASI DAN KEBIJAKAN DIVIDEN

JURNAL PUNDI ◽  
2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Fitri Yeni ◽  
Riri Mayliza
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Dividend Policy ◽  
Regression Coefficient ◽  
Stock Exchange ◽  
Investment Decision ◽  
Market Performance ◽  
Investment Decisions ◽  
Managerial Ownership ◽  
Manufacturing Companies

Performance of the company can be seen from two parts, namely financial performance and market performance. The Market Performent This study is  to examine  the effect of managerial ownership, investment decisions, and dividend policy to  market performance. Samples in this study are  manufacturing companies listed  on Indonesia Stock Exchange that provide dividends from  2013 until 2015. Samples were taken by using the technique of puposive sampling, the data were analyzed by using Panel Data Regresion method. The results showed that managerial ownership (KP) has a regression coefficient value of 0.173 and t count of 0.594 with probability  value 0.555> 0 So concluded managerial ownership has no significant effect to market performance , The results show that investment decision (PER) Has a regression coefficient value of 0,214 dan thitung 2,931 With probability value of 0,005 <0,05 , Dividend Policy (DPR) regression coefficient value of -0,187 and  thitung -3,422 With probability value of 0,001 <0,05 The results show that investment decision has positive and significant effect to market performance and dividend policy has negative and significant effect to market performance. Keywords: Managerial Ownership, Investment Decision, Dividend Policy, Market Performance 

scholarly journals Pengaruh Mekanisme Good Corporate Governance, Debt to Equity Ratio, Asset Growth terhadap Kinerja Perusahaan

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Kartika Mirawati Tika Mirawati ◽  
Meina Wulansari
Keyword(s):  
Corporate Governance ◽  
Time Series Data ◽  
Stock Exchange ◽  
Empirical Studies ◽  
Secondary Data ◽  
Series Data ◽  
Independent Variables ◽  
Mining Companies ◽  
Good Corporate Governance ◽  
Asset Growth

This study aims to determine the effect of the mechanism of Good Corporate Governance, DER, Asset Growth on company performance (empirical studies on mining companies listed on the Indonesia, Thailand, Malaysia Stock Exchange period 2010-2017). This research is a quantitative research which aims to systematically explained about the facts and properties in an object in the study then merged between variables related to it by presenting secondary data from financial reports from mining companies in the countries of Indonesia, Malaysia and Thailand. The population used in this study were mining companies listed on the Indonesia, Malaysia and Thailand Stock Exchanges in the period 2013 to 2017. The samples used in this study were 15 mining companies in the countries of Indonesia, Malaysia and Thailand by using the Purpose Method. Sampling the objectives for obtaining a representative sample that matches the criteria that have been confirmed. In this study, the data analysis method used is the data panel (pooled data) which is a combination of time series data and data between individuals or cross sections in mining companies in Indonesia, Malaysia and Thailand. Research Results for mining companies in Indonesia The R square value of this model is 0.732 percent, meaning that the variation of the profit company's performance can be explained by the independent variables analyzed, namely the mechanism of Good Corporate Governance, DER, the remaining Asset Growth percent of 73.20 the remaining 26.80 percent is explained by other factors not included in this study. Furthermore, the R square value of this model of 0.731 percent means that the variation of the company's profit performance can be explained by the independent variables analyzed, namely the mechanism of Good Corporate Governance, DER, the remaining percent Asset Growth of 73.10 the remaining 26.90 percent is explained by other factors not included in this research .. and thailand country The R square value of this model is 0.849 percent which means that the variation of profit that can be explained by the independent variables analyzed are NIM, BOPO, CAR and NPL of 84.90 percent of the remaining 15.10 percent is explained by other factors that do not included in this study.

scholarly journals Net income prediction of several leading bank in Indonesia using neural approach

2018 ◽  
Vol 7 (2.2) ◽  
pp. 99 ◽  
Author(s):  
Rofiqoh . ◽  
Achmad Fanany Onnilita Gaffar ◽  
Djoko Setyadi ◽  
Syarifah Hudayah
Keyword(s):  
Time Series ◽  
Financial Reporting ◽  
Time Series Data ◽  
Investment Decision ◽  
Back Propagation ◽  
Financial Ratios ◽  
Series Data ◽  
Net Income ◽  
Investment Decision Making ◽  
Artificial Neural Network Ann

The IFRS (International Financial Reporting Standards) defines net income as synonymous with profit and loss. Net income can be used as a consideration for investment decision making for investors who will invest their capital into a company. Net income for the next year cannot be ascertained but can be predicted by using several financial ratios that affect the change in net income. This study tries to predict net income next year by using several financial ratios obtained from four leading banks in Indonesia. The time series data modeling by using Artificial Neural Network (ANN) based Auto-Regressive with Exogenous input (ARX) model. In this study only use one net structure to model time series data in order to improve the efficiency of the model. Back-Propagation (BP) doing backpropagation to fix the weight of each layer of ANN such that to achieve appointed target error. 

PENGARUH INFORMASI AKUNTANSI TERHADAP RETURN SAHAM (Studi Pada PerusahaanLQ-45 Di Bursa Efek Jakarta)

2016 ◽  
Vol 6 (2) ◽  
pp. 22
Author(s):  
Norsain ,
Keyword(s):  
Panel Data ◽  
Stock Returns ◽  
Stock Return ◽  
Time Series Data ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Series Data ◽  
Return On Assets ◽  
Investment Returns

The use of financial information through the financial statements as a result of an accounting process in the company is an important information in analyzing investment returns in the long term. Through this analysis the investor will be able to assess the ability of a company's profitability, the quality of management performance, as well as future prospects of the company.               Data used in this study is panel data, which is a combination of cross section and time series data 45 company financial statements as sample the period 2010 to 2013. The data sources used mainly in this research is secondary data, including data in the form of documents and information relating to the object of a study published by the Indonesia Stock Exchange through the authority of Capital Market information Center accessed from the official website of the Stock Exchange.               Once the data is collected, the data were analyzed using Eviews program for this type of panel data. Beginning with the analysis of model selection, and then proceed with the classical assumption. The results of the study variables X1 Price Earning Ratio (PER), no effect on variable Y (stock returns), Variable X2 Price to Book Value (PBV) have a significant effect on the variable Y (stock returns), Variable X3 Return on Assets (ROA) significantly the variable Y (stock return). Simultaneously variable PER, PBV, ROA significant effect on the level of α = 10%.Keywords: PER, PBV, ROA, Stock Return

scholarly journals Total asset prediction of the large Indonesian bank using adaptive artificial neural network back-propagation

2018 ◽  
Vol 7 (2.2) ◽  
pp. 75 ◽  
Author(s):  
Fariyanti . ◽  
Iskandar . ◽  
Rheo Malani ◽  
Bedi Suprapty
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Time Series Data ◽  
Stock Exchange ◽  
Back Propagation ◽  
Ar Model ◽  
Series Data ◽  
Net Income ◽  
Single Output ◽  
Artificial Neural

The bank is a type of company that acts as the executor of monetary policy and as a guarantor of the stability of the financial system of a country. Total assets are an important aspect for a bank to generate net income. Return on Assets (ROA) is a profitability ratio to measure the ability of a bank in generating profits with all investments owned. This study predicts the total assets of the largest banks in Indonesia, referring to the Indonesia Stock Exchange data from 2005 to 2016. The time series data model used is Autoregressive (AR) model and Multi Input Single Output (MISO) Autoregressive with exogenous input (ARX) model. Adaptive Artificial Neural Network Back-propagation (Adaptive ANN-BP) is used as an approximation model of both models.  

scholarly journals Effect of Good Corporate Governance, DER, Asset Growth Mechanism on Company Performance

2018 ◽  
Vol 1 (2) ◽  
pp. 48-59
Author(s):  
Abdul Rahim ◽  
Kartika Mirawati ◽  
Juhasdi Susono
Keyword(s):  
Corporate Governance ◽  
Time Series Data ◽  
Stock Exchange ◽  
Empirical Studies ◽  
Secondary Data ◽  
Series Data ◽  
Company Performance ◽  
Mining Companies ◽  
Good Corporate Governance ◽  
Asset Growth

This study aims to determine the effect of the mechanism of Good Corporate Governance, DER, Asset Growth on company performance (empirical studies on mining companies listed on the Indonesia, Thailand, Malaysia Stock Exchange period 2010-2017). This research is quantitative research which aims to systematically explain about the facts and properties in an object in the study then merged between variables related to it by presenting secondary data from financial reports from mining companies in the countries of Indonesia, Malaysia, and Thailand. The samples used in this study were 15 mining companies in the countries of Indonesia, Malaysia, and Thailand. In this study, the data analysis method used is the data panel (pooled data) which is a combination of time series data and data between individuals or cross sections in mining companies in Indonesia, Malaysia, and Thailand. This research indicates that the variation of the profit company's performance can be explained by the independent variables analyzed

scholarly journals ANALISIS PERPUTARAN MODAL KERJA DAN PENGARUHNYA TERHADAP SISA HASIL USAHA (SHU) PADA KOPERASI PEGAWAI NEGERI REPUBLIK INDONESIA (KPNRI) DI KOTA PALU

2016 ◽  
Vol 2 (2) ◽  
pp. 143-148
Author(s):  
Yani Lestari ◽  
Muhammad Yunus Kasim ◽  
Husnah Husnah
Keyword(s):  
Time Series ◽  
Significant Influence ◽  
Time Series Data ◽  
Balance Sheet ◽  
Series Data ◽  
Net Income ◽  
Working Capital ◽  
Accounts Receivable ◽  
Purposive Sampling ◽  
Inventory Turnover

This study proves the influence of working capital turnover (turnover of cash, accounts receivable turnover, inventory turnover) on net income (SHU) at the Civil Servants Cooperative of Republic of Indonesia (KPNRI) in Palu in 2011-2014. The data in this study is time series data in the form of financial statements, which consist of data on the balance sheet and profit/loss or SHU in four consecutive years of 2011-2014 of KPNRI in Palu City. Research sample is 12 cooperatives selected with purposive sampling technique. Model of analysis is multiple linear regressions analysis. The research proves that rotation of working capital includes cash turnover, accounts receivable turnover, inventory turnover simultaneously have significant influence on the SHU with f-value of 5.951 and significance level of 0.002 <α 0.05. Partially, cash turnover positively has significant influence on SHU with t-value of 2.184 with a significant value of 0.034 <α 0.05, receivable turnover has non- significant influence on the SHU with t-value of 2.595 with significance value of 0.180> α of 0.05, inventory turnover significantly has negative influence on SHU with t-value of -2.650 and significance value of 0.004 <α 0.05. Penelitian ini bertujuan untuk membuktikan pengaruh perputaran modal kerja (perputaran kas, perputaran piutang,perputaran persediaan) terhadap sisa hasil usaha (SHU) pada Koperasi Pegawai Negeri Republik Indonesia (KPNRI) di Kota Palu dengan periode penelitian 2011-2014. Data pada penelitian ini adalah data time series berupa laporan keuangan yang terdiri dari data-data pada neraca dan laporan laba/rugi atau SHU selama empat tahun berturut-turut (2011-2014) dari KPNRI Di Kota Palu. Sampel penelitian sebanyak 12 dengan teknik pengambilan sampel menggunakan purposive sampling. Model analisis yang digunakan untuk menjawab hipotesis adalah alat analisis regresi linear berganda. Hasil penelitian membuktikan bahwa secara simultan perputaran modal kerja yaitu perputaran kas, perputaran piutang,perputaran persediaan berpengaruh signifikan terhadap SHU dengan nilai Fhitung sebesar 5.951, dengan tingkat signifikan sebesar 0,002 < α 0,05. Secara parsial perputaran kas berpengaruh signifikan positif terhadap SHU dengan nilai t hitung sebesar 2.184 dengan nilai signifikansi sebesar 0,034 < α 0,05, perputaran piutang tidak berpengaruh signifikan terhadap SHU dengan nilai t hitung sebesar 2.595 dengan nilai signifikansi sebesar 0,180 > α 0,05, perputaran persediaan berpengaruh signifikan negatif terhadap SHU dengan nilai t hitung sebesar - 2,650 dengan nilai signifikansi sebesar 0,004 < α 0,05.

scholarly journals Effect Of Investment Decision, Capital Structure, Profitability, And Company Size On Company Values

2021 ◽  
Vol 26 (1) ◽  
pp. 134
Author(s):  
Reza Suleman, Sumani
Keyword(s):  
Adverse Effect ◽  
Panel Data ◽  
Real Estate ◽  
Capital Structure ◽  
Firm Value ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Company Size ◽  
Construction Companies

This study wanted to examine the effect of investment decisions, capital structure, profitability, and company size on the value of the firm, by using samples from the property, real estate, and construction companies listed on the Indonesia stock exchange for the period 2014-2017. Hypothesis testing using the panel data method by using Eviews version 9. The results of the study showed that the investment decision, capital structure, and profitability did not have a significant effect on firm value. In contrast, the size of the company has a significant adverse effect on the value of the firm. From the results of the F test, investment decision, capital structure, profitability, company size in this study simultaneously influence the value of the firm.

Pengaruh keputusan investasi, keputusan pendanaan, dan kebijakan dividen terhadap nilai perusahaan yang terdaftar di Bursa Efek Indonesia

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Dina Patrisia ◽  
Muthia Roza Linda ◽  
Ursa Yulianti
Keyword(s):  
Dividend Policy ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Manufacturing Companies ◽  
Positive Direction ◽  
Company Value

This study aims to analyze the effect of investment decisions, funding decisions, and dividend policy on the value of the company. This research is classified as causative research. The populations in this study are all Manufacturing companies listed on the Stock Exchange in 2012-2016. The sampling technique in this study is using purposive sampling technique with a total sample of 213 samples. The data used is secondary data. The data analysis method used is multiple regression. The results showed that investment decision variables affect the value of the company in a positive direction, funding decisions affect the value of the company in a negative direction, and dividend policy affects the value of the company with a positive direction on Manufacturing companies listed on the IDX. With this research, it is expected that researchers who can further conduct research related to factors that influence the value of the company whose impact is higher than what researchers have met. By using different proxy and data processing methods to produce more accurate data processingKeywords: Investment decisions; funding decisions; dividend policy; company value

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