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Academic literature on the topic 'IDX30 Index'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "IDX30 Index"

1

Bakri Katti, Siti Wardani. "Analisis Kondisi Ekonomi Global Terhadap Pergerakan IDX30 Selama Pandemi Covid 19." JAMER : Jurnal Akuntansi Merdeka 2, no. 2 (2022): 69–77. http://dx.doi.org/10.33319/jamer.v2i2.63.

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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 techn
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Adawiyah, Ami, Yudhia Mulya, and Zul Azhar. "PERBANDINGAN KINERJA PORTOFOLIO SAHAM DI JAKARTA ISLAMIC INDEX DAN IDX30 PERIODE 2016–2018." JIMFE (Jurnal Ilmiah Manajemen Fakultas Ekonomi) 7, no. 2 (2021): 203–16. http://dx.doi.org/10.34203/jimfe.v7i2.3973.

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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 Jakar
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3

Bakri Katti, Siti Wardani, and Mutmainah Mutmainah. "Analisis Perbandingan Kinerja Investasi Portofolio Pasar Modal Syariah Dengan Pasar Modal Konvensional (Studi Kasus Pada Jakarta Islamic Index dan IDX30)." JAMER : Jurnal Akuntansi Merdeka 1, no. 1 (2020): 38–44. http://dx.doi.org/10.33319/jamer.v1i1.19.

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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
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Amalia, Hasbiya Fitra, and Dedik Nur Triyanto. "Model Fraud Pentagon Dalam Mendeteksi Kecurangan Laporan Keuangan Perusahaan Yang Terdaftar Pada Indeks IDX30 Tahun 2015-2019." EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis 10, no. 1 (2022): 96–105. http://dx.doi.org/10.37676/ekombis.v10i1.1590.

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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, DCH
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5

Rais, Rais, Dini Aprilia Afriza, Iman Setiawan, Hartayuni Sain, Fadjryani Fadjryani, and Junaidi Junaidi. "MODELING THE IDX30 STOCK INDEX USING STEP FUNCTION INTERVENTION ANALYSIS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 3 (2025): 2057–68. https://doi.org/10.30598/barekengvol19iss3pp2057-2068.

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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, consisti
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6

Sundoro, Hary Saputra, Grace Putlia, and Jessica Vonnie Lie. "Analisis determinan kinerja pasar modal (IDX30) di Indonesia." AKURASI: Jurnal Riset Akuntansi dan Keuangan 6, no. 2 (2024): 103–16. http://dx.doi.org/10.36407/akurasi.v6i2.1124.

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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
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7

Wahyuni, Nyoman Candra Tri, and Ni Putu Ayu Darmayanti. "PEMBENTUKAN PORTOFOLIO OPTIMAL BERDASARKAN MODEL INDEKS TUNGGAL PADA SAHAM INDEKS IDX30 DI BEI." E-Jurnal Manajemen Universitas Udayana 8, no. 6 (2019): 3814. http://dx.doi.org/10.24843/ejmunud.2019.v08.i06.p19.

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Stocks are included in determination of the optimal portfolio along with the proportion of each stock and to know how much portfolio return and risk investors will get in the future. The study was conducted on the IDX30 Index on the IDX for the period August 2016 - January 2018. The population of this study used shares that were incorporated in IDX30 Index with sample used was 25 IDX30 Index stocks during the study period. The study uses the optimal portfolio model, namely the Single Index Model The results of the study show that from 25 stocks there are 8 stocks that can form an optimal portf
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8

Erin, Linda, and Yulistia Devi. "Perbandingan Return dan Risk pada Saham Berbasis Syariah dan Konvensional yang Tercatat di Bursa Efek Indonesia." Al-Mashrof: Islamic Banking and Finance 2, no. 2 (2021): 105. http://dx.doi.org/10.24042/al-mashrof.v2i2.10775.

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Penelitian ini di susun untuk mengetahui tingkat pengembalian return dan risk saham yang berbasis syariah di Jakarta Islamic index (JII) dan Saham yang berbasis Konvensional di IDX30.Penelitian ini merupakan penelitian kuantitatif. Lokasi penelitian yaitu website bursa efek Indonesia www.idx,co,id sebagai penyedia data sekunder berupan nama-nama emiten yang masuk dalam Jakarta Islamic index (JII) dan IDX30 Serta data closing price saham tahunan priode 2017 s.d 2020. Dengan membandingkan return dan risk pada saham yang berbasis syariah dan berbasis konvensional. Tehnik analisis data yang diguna
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9

Erwin, Dyah Astawinetu, Istiono, and Yuliaty Erma. "Analysis of the Effect of Covid-19 on Stock Prices in IDX30." Journal of Economics, Finance and Management Studies 04, no. 12 (2021): 2593–99. https://doi.org/10.47191/jefms/v4-i12-22.

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The Covid-19 pandemic has hit Indonesia since March 2020 until now. This health disaster has affect Indonesia's macroeconomic conditions and the performance of many companies. The study examined the effect of the Covid-19 pandemic on the stock prices of all companies included in the IDX30 Index. The hypothesis test used is the average difference test. The results of the study found that the Covid-19 pandemic could have a positive, negative, or no effect on the stock prices of companies included in the IDX30 Index.
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10

Bimantara, Rizal Agus, Ely Siswanto, and Yuli Soesetio. "Pengumuman Perhitungan Baru Indeks LQ45 dan IDX30: Apakah Ada Reaksi pada Pasar Modal Indonesia?" Esensi: Jurnal Bisnis dan Manajemen 9, no. 1 (2019): 27–40. http://dx.doi.org/10.15408/ess.v9i1.10642.

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This study discusses whether there an influence from the announcement of the newcalculation of LQ45 and IDX30 index. This study uses indicators of abnormal return, cumulative abnormal return, and trading volume activity as a measure of market reaction. The population of this study is the companies incorporated in the IDX30 index. The sampling method uses purposive sampling method and obtained sample of 20 companies.The window period in this study is 11 days. Statistical tests using paired sample t-test and Wilcoxon sign rank test. The results of this study indicate there are no differences in
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Conference papers on the topic "IDX30 Index"

1

Salsabilla, Aurelia Diva, Di Asih I. Maruddani, and Agus Rusgiyono. "Measurement of risk value with mean-value at risk optimization model in stocks portfolio (case study: Stocks listed in the IDX30 index for evaluation of August 2020 – January 2021 during the 2020 period)." In ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0140570.

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