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INDONESIA
Jurnal Pasar Modal dan Bisnis
Published by The Indonesia Capital Market Institute
ISSN : -     EISSN : 27155595     DOI : https://doi.org/10.37194/
Core Subject : Economy, Science, Social,
Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice
The journal is designed to provide a platform for researchers, academicians, and practitioners who are interested in new knowledge and discussing ideas, issues, and challenges in the field of capital markets. JPMB is published by The Indonesia Capital Market Institute (TICMI).  It covers the following topics: - Capital Markets and Financial Institutions - Financial Instruments and Financial Innovation - Investment and Financial Decision Making - Valuation of Financial Assets - Financial and Non-Financial Information - Corporate Reporting & Investment Decision - Capital Market Governance & Sustainability - Investor Protection - Capital Markets Literacy and Inclusion - Financial Standards and Regulations - Crime in Capital Markets - Risk Management in Capital Markets - Financial Engineering & Derivatives - Islamic Capital Markets - Emerging Markets Studies - International Capital Markets - International/Regional Financial Center - Capital Markets Technology & Cybersecurity and related topics
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 13 Documents
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Search results for , issue "Vol 3 No 1 (2021)" : 13 Documents clear
Analisis Perbedaan Abnormal Return Sebelum dan Sesudah Pemilihan Presiden Tahun 2019 pada Saham LQ45 yang Terdaftar di Bursa Efek Indonesia Erwin Febriansyah; Furqonti Ranidiah; Umi Mustika
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.56

Abstract

Purpose – the purpose of this study is to out the difference in abnormal returns before and after the 2019 presidential election on LQ45 stock listed on the the Indonesia stock Exchange. Methods – this study uses event studies, observing the average abnormal returns for 10 days before the event date , and 10 days after the 2019 presidential election. Data used in this study include the stock price, daily closing, stock index. Return expectations using a market-adjusted model. The sample used is stocks that are included in the LQ-45 list on the Indonesia Stock Exchange. The data analysis technique used to answer the research hypothesis is a paired sample t-test. Finding – the finding in this study are Based on the analysis of paired samples t-test test results show that there is no significant difference in abnormal returns before and after the presidential election event. This is evidenced from the results of paired sample t test testing with a significance level of 0.589 greater than the level of significance that has been set at 0.05.
Peramalan Harga Saham Menggunakan Metode Support Vector Machine (SVM) Dony Abdul Chalid; Vincentius Ryan Cokrodiharjo
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.59

Abstract

This study aims to analyze the accuracy of the Support Vertor Machine (SVM) model to predict stocks price. A combination of 28 forecasting periods and 30 input period technical indicators was used. Stock transaction data from 31 companies listed on the Indonesian stock exchange and actively traded between March, 2006 and February, 2018 were used. Results show that the highest system performance does not occur when the input period technical indicator is approximately equal to the forecast period. Although, the performance results differ among company stocks. However, the SVM prediction model provides greater profit than buy and hold strategy.
Analisis Teknikal Saham Menggunakan Indikator RSI dan Bollinger Bands pada Saham Konstruksi Revo Gilang Firdaus
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.60

Abstract

Modern technical analysis research is becoming increasingly popular today, such as the Relative Strength Index and the Bollinger Bands. The research objective was conducted to determine the results of the combination of RSI and BB on construction stocks. The research method was carried out by selecting construction stocks through purposive sampling of four stocks which then applied the RSI and BB indicators. Then the analysis is carried out by looking at the momentum of the combination of the RSI and BB in determining buy and sell. The results showed that the combination of RSI and BB is quite accurate in determining whether to buy or sell, as evidenced by the reflection of the price when it hits the bottom and top of the RSI and BB indicators. Meanwhile, the implication of this research is that investors can determine buying and selling of shares using a combination of RSI and BB indicators and can provide a reference for analysts, both in securities and MI, to provide recommendations forcustomers
Analisis Komparasi Penggunaan Metode MACD, Moving Average, dan Stochastic dalam Optimalisasi Profit Abdul Chotib Nasih; Siti Ridloah
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.61

Abstract

The purpose of this study is to make decisions on the right time to buy and sell shares on IDX 30 by using technical analysis including MACD, moving average, and stochastic oscillator. This research is a descriptive qualitative research. The population of this study is companies listed on IDX30 for the 2017-2019 period. Sampling was done by using purposive sampling technique. Research locations on stocks listed on IDX30 using the AmiBroket Chart software. Data analysis uses technical analysis using three indicators, namely MACD, moving average, and stochastic oscillator. Based on the research results of the three indicators, MACD generates the greatest profit. The right moment (giving a buy signal) in using MACD is when the MACD line crosses the signal line from the bottom up or Golden Cross as a bullish trend. A condition that gives a sell signal if the MACD line crosses the signal line from up to down or Death Cross is a bearish trend.
Simple Moving Average: Lebih baik dibanding Buy and Hold Strategy? Jefarel Jefarel; Josephine Sudiman
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.63

Abstract

The purpose of this study is to identify the optimal period of the Moving Average technique used to generate a better return towards 38 stocks included in the LQ 45 Index in Indonesia. The author uses 2 approaches, namely momentum and contrarian and applies the Simple Moving Average technique with various period modifications to daily trading data of 2018 and 2019. The optimal period is retested using data of 2020. The results suggest that the momentum strategy is superior to that of contrarian strategy, but overall these two strategies produce better returns than the Buy and Hold strategies. Specifically, the average loss of investors who adopt the Buy and Hold strategy is 26.43% in 2020, much higher than those who apply the contrarian strategy (the second approach) which will only experience a decrease in wealth value of 9.91% and 2.61% for those who implement momentum strategy (first approach).
Leverage Determinants Analysis Of Manufacturing Companies Registered in Indonesia Stock Exchange 2014-2018 Mangasi Sinurat; Willy Cahyadi
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.64

Abstract

This study aims to determine the effect of liquidity, growth opportunities, profitability and company size on the leverage of manufacturing companies listed on the Indonesia Stock Exchange. The period used in this research is 5 years, starting from 2014 to 2018. The population in this study is 126 manufacturing companies that have been and are still listed on the Indonesia Stock Exchange for the period 2014-2018. The sample selection technique was purposive sampling method and obtained 40 manufacturing companies that were used as samples. The data analysis technique used is multiple linear regression. Based on the results of data analysis, liquidity and profitability partially have a negative and significant effect on Leverage, Growth Opportunity has no effect on Leverage, Firm Size has no effect on Leverage. Based on the Anova test, it is known that the F statistical value is (107.502) with a significance of (0.000). The adjusted R Square value is (0.682 or 68.2%), this is, if the independent variable is statistically significant in influencing the dependent variable, there is an indication of heteroscedasticity. We recommend that if the independent variable is not statistically significant in affecting the dependent variable, there is no indication of heteroscedasticity. This is observed from the significance of the profitability above the 5% confidence level. Keywords: Leverage, Liquidity, Growth Opportunity, Profitability, Company Size
Studi Analisis Fenomena January Effect Saham Bank Umum Pemerintah Periode 2016-2019 Prihatiningsih Prihatiningsih; Mohammad Rois
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.65

Abstract

This study aimed to analyze whether there are seasonal anomalies (January Effect) on Stock Company Banking is included in LQ-45 and listed in Indonesia Stock Exchange Period of 2016 - 2019, by seeing of differences in stock returns and trading volume activity in January with other months. The population of this study are Stock of Companies is included in the LQ-45 listed in the Indonesia Stock Exchange, which 3 companies have been selected as the sample using purposive sampling techniques. Data analysist techniques are performed by One Way ANOVA and Non Parametric Kruskall Wallis test. The result of analysist showed that there were significant differences in stock return in January with other months, and there were significant differences too in trading volume activity in January with other months, but the stock return and trading volume activity in January isn’t the highest among other months, so that the January Effect was not shown to occur in the Banking Companies is included in the LQ-45 and listed in Indonesia Stock Exchange Periods of 2016-2019
Analisa Teknikal MACD, RSI, SO, dan Buy and Hold untuk Mencapai Return Optimal Saham JII30 di Bursa Efek Indonesia Norma Rosyidah; Resandi Umami Hafi
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.66

Abstract

The purpose of this research is to realize the movement of JII 30 shares during the pandemic. The method used is a descriptive analysis by analyzing this research to find that JII 30 stocks, particularly in the banking sector, take a fairly high level of fluctuation. indecision from the pandemic situation caused the banking sector to increase, thus affecting stock trading. The results of this study to indicate the novelty of this study are the movement of stocks through the pandemic, which is different from earlier studies that still studied when trading was normal / before the pandemic. MACD, RSI, SO and Buy and Hold analysis tools can generate optimal returns on BTPS shares. The limitations of this research are still limited to the Islamic banking sector.
Indikator Simple Moving Average dan Relative Strenght Index untuk Menentukan sinyal Beli dan Jual Saham pada Sektor Infrastruktur Dina Yeni Martia; Nur Indriana Yasmine
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.67

Abstract

Technical analysis is a methodology of forecasting stock price fluctuations whose data is taken from stock trading data that occur on the stock market (stock exchange). The indicator is used to support technical analysis, the indicator also serves as a tool to determine trends and buy and sell signals in a stock. This study aims to determine the difference between sell and buy signals suggested by the Simple Moving Average and Relative Strength Index indicators. The research method used is descriptive qualitative. The population in this study are publicly traded companies in the infrastructure sector on the Indonesia Stock Exchange. The results showed that in the analysis of the five stocks of ASSA, SAFE, TKLM, KOPI and TOWR using Simple Moving Averange (SMA) and Relative Strength Index (RSI) indicators showed quite accurate signals. Where the Simple Moving Average (SMA) Indicator is used to determine the direction of a stock's trend movement and the Relative Strength Index (RSI) indicator supports confirming the position and price level of a stock.
Empat Plus Satu untuk Swing Trader Ronny Thomas; Nurlia Nurlia
Jurnal Pasar Modal dan Bisnis Vol 3 No 1 (2021)
Publisher : The Indonesia Capital Market Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37194/jpmb.v3i1.68

Abstract

This research focuses on technical analysis, which gives signals to trading stocks when to enter, and when to exit the market, in a transaction in the capital market. The indicators used are RSI, MACD histogram, stochastic, ADX, and + candlesticks. During the Covid 19 pandemic, where prices were moving SIDEWAYS. The concept of "Four Plus One for Swing Traders" has been quite successful with the application of shares in the LQ45 and IDXSMC-LIQ Index. The purpose of this study was to determine the technical indicators of analysis correctly and profitably. This research method uses qualitative analysis techniques by screening stocks with four criteria plus one technical analysis in the form of candlesticks. The results of this study indicate a tendency to generate a significant return on the Indonesian stock market. Stocks that generate positive returns (profit) such as shares of Astra International, Tbk, Bank BTN Tbk, Bank Mandiri Tbk, Excel Asia Tbk, Bank Bukopin Tbk, Indika Tbk, United Tractor Tbk. Meanwhile, shares that suffered losses were Unilever Tbk shares. The implication of this research is that the technical analysis of four plus one for swing traders can be used by investors and potential investors to make decisions whether to buy or sell portfolios.

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