Academic literature on the topic 'IDX30 Index'

This study aimed to determine the effect of global economic uncertainty which comprises: world oil price, Federal fund rate, Dow Jones Industrial Average Index and the Rupiah currency partially or simultaneously on the capital market. In this study IDX30 index used as research objects that represent the capital market, as well as to determine the dominant variable affecting IDX30 index. The population in this study all companies included in the IDX30 index members. Samples were taken using saturation sampling, that the whole company is a member IDX30 index used as a sample. Data analysis techniques used in this research is multiple linear regression analysis. The result showed: (1) World oil price do not significantly influence the IDX30 index, (2) Federal fund rate significantly influence IDX30 index, (3) Rupiah currency significant effect on IDX30, (4) Dow Jones Industrial Average index significantly influence IDX30 index, (5) World oil price, Federal fund rate, Dow Jones Industrial Average index and Rupiah currency simultaneously significant effect on the IDX30 index, as well as, (6) the dominant variable affecting IDX30 index is the Dow Jones Industrial Average index.

ABSTRAKPenelitian ini bertujuan untuk mengetahui perbedaan antara kinerja portofolio saham Jakarta Islamic Index (JII) dan IDX30 periode 2016–2018. Jenis penelitian ini adalah penelitian verifikatif dengan metode explanatory survey dan menggunakan teknik statistik komparatif. Penelitian ini menggunakan metode analisis Markowitz dengan pendekatan minimum variance. Sampel yang digunakan adalah 189 saham Jakarta Islamic Index (JII) dan 200 saham IDX30. Hasil pengujian kinerja portofolio dengan menggunakan uji beda independent sample t-test, tidak terdapat perbedaan antara kinerja portofolio Jakarta Islamic Index (JII) dengan kinerja portofolio IDX30. Kemudian, dari hasil perhitungan Sharpe Ratio pada Jakarta Islamic Index (JII) dan IDX30 pada setiap periodenya bernilai positif. Hal ini menunjukkan bahwa portofolio dari kedua indeks selalu memperlihatkan kinerja yang bernilai positif atau baik. Implikasinya adalah tidak ada return tambahan yang dapat diperoleh investor dengan cara membedakan saham yang memiliki kiteria syariah dengan yang bukan syariah. ABSTRACTThis study aims to determine the difference between the performance of the Jakarta Islamic Index (JII) and IDX30 stock portfolios for the 2016–2018 period. This type of research is a verification research with an explanatory survey method and using comparative statistical techniques. This research uses Markowitz analysis method with Minimum Variance approach. The sample used is 189 shares of Jakarta Islamic Index (JII) and 200 shares of IDX30. The results of portfolio performance testing using the independent sample t-test difference test, there is no difference between the performance of the Jakarta Islamic Index (JII) portfolio and the performance of the IDX30 portfolio. Then, from the results of the calculation of the Sharpe Ratio on the Jakarta Islamic Index (JII) and IDX30 in each period it is positive, this shows that the portfolios of the two indexes always show positive or good performance. The implication is that there is no additional return that can be obtained by investors by distinguishing stocks that have sharia criteria from those that are not sharia.

Abstract— The general difference between conventional capital markets and Islamic capital markets can see in the instruments and transactio mechanism, while the difference of Sharia stock index value with conventional stock index value lies in the criteria of the issuer’s shares that must meet the basic principles of sharia. The aim of this research is 1) to know average difference of return between Jakarta Islamic Index (JII) with IDX30 in bullish and bearish period, 2) to know the difference of return between Jakarta Islamic Index (JII) with IDX30 in bullish and bearish period through Sharpe Index approach. The research type is explanatory research. This research use all of go public companies on Indonesia Stock Exchange (BEI) from 2014-2018. Sampling in this research use purposive sampling. The classic assumption test uses normality and homogeneity test. Data analysis method use independent sample T-test. The research result show that no average difference of return of portfolio investment performance in the 2014-2018 period between Jakarta Islamic Index (JII) with IDX30 in the bullish and bearish period. Portfolio investment performance in the 2014-2018 period show no average difference of return between Jakarta Islamic Index (JII) with IDX30 through Sharpe index approach in the bullish and bearish period. Keywords—: Islamic Capital Markets; Conventional Capital Markets; Jakarta Islamic Index; IDX30; Indonesia Stock Exchange.

The objective of this study is to examine and assess the Fraud Pentagon model's ability to detect false financial statements in firms that have consistently been included in the IDX30 index from 2015 to 2019. All of the information utilized is secondary and pertains to the company's yearly data. The population is made up of firms that were listed on the IDX30 index between 2015 and 2019, with a sample size of 65 entities. The study variables that have been determined are analyzed using logistic regression in data analysis. From 2015 to 2019, ACHANGE, LEVERAGE, BDOUT, RECEIVABLE, AUDCHANGE, DCHANGE, TATA and CEOPICT all had a simultaneous influence on financial statement fraud in businesses in the IDX30 index. In addition, partial financial stability (ACHANGE) and total accruals have an impact on financial statement fraud (TATA). LEVERAGE, BDOUT, RECEIVABLE, AUDCHANGE, DCHANGE, and CEOPICT had no influence on the false financial statements of firms in the IDX30 index from 2015 to 2019.

The significant decline in the IDX30 stock index occurred due to an intervention, namely the COVID-19 pandemic, which affected market stability and investment decisions. This study aims to model and forecast the IDX30 stock index using intervention analysis with a step function, which is very suitable for capturing long-term external shocks. The methodology used includes the ARIMA (AutoRegressive Integrated Moving Average) model combined with step function intervention analysis to account for structural changes due to external disturbances. The data used is sourced from investing.com, consisting of weekly IDX30 stock index prices from January 2019 to December 2023. The results show that the COVID-19 pandemic significantly impacted the IDX30 index, causing a drastic decline. The best model identified is ARIMA (1,2,1) with intervention parameters b = 0, s = 0, and r = 1. The forecasting results range from Rp. 488 to Rp. 505, with a Mean Absolute Percentage Error (MAPE) of 1.9404%, which shows the forecasting results are very good, indicating high forecasting accuracy. These findings highlight the effectiveness of intervention analysis in modeling financial time series data affected by external disturbances.

Indonesia has a capital market called the Indonesian Stock Exchange (IDX). IDX performance can be measured from existing indices and one of them is the IDX30 index. IDX 30 performance can be influenced by several factors such as macroeconomic variables and CPO prices. This research aims to determine movements in capital market performance in Indonesia caused by influencing factors. The VECM method will be used in this research. The research period starts from 2019 to June 2023. The result of this research is that CPO prices and inflation have a positive influence, while reference interest and exchange rates have a negative influence on IDX30 performance in the short and long term. The performance response of the IDX30 is most influenced by the IDX30 variables themselves. Public interest statements The research hopes that the relevant parties, especially the government, issuers and investors can take the necessary policies. The results of this research can be a reference material in predicting capital market movements in Indonesia, especially the IDX30 index, which is caused by factors that influence it, such as macroeconomics and CPO prices.