Perli Iswanto
Universitas Gunadarma

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PENGUKURAN TINGKAT RISIKO DAN KEUNTUNGAN SAHAM INDIVIDUAL DENGAN MENGGUNAKAN PENDEKATAN HISTORIS PADA METODE VALUE AT RISK (VaR) (STUDI KASUS TOP 10 SAHAM TERBAIK JANUARI 2022) Perli Iswanto; Aditya Rian Ramadhan
Jurnal Akuntansi dan Manajemen Bisnis Vol. 2 No. 1 (2022): April : Jurnal Akuntansi dan Manajemen Bisnis
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.159 KB) | DOI: 10.56127/jaman.v2i1.11

Abstract

In research has been conducted to measure individual daily in January 2022 which is included in the Top 10 best stocks version of kontan.co.id risk and profit level using the Value at Risk (VaR) approach. The research method used to analyze the data refers to the Historical Simulation Model approach. The data used is the daily asset return data obtained from the daily closing price of shares during the January 2021 period. The results of the VaR method approach are Historical Simulation. The model shows CMPP stock with a risk of 91 million. The measurement results show that if the funds invested are Rp. 500,000,000.00 with a 95% confidence level, the period is 21 days.
ANALISIS PENGARUH TEKNOLOGI, FITUR DAN KEAMANAN DATA TERHADAP KEPUTUSAN MENGGUNAKAN APLIKASI “AJAIB” SEBAGAI TEMPAT INVESTASI Aditya Rian Ramadhan; Perli Iswanto; Natallios Peter Sipasulta
Jurnal Ekonomi dan Manajemen Vol. 1 No. 1 (2022): Februari : Jurnal Ekonomi dan Manajemen
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1399.909 KB)

Abstract

This study aims to analyze the effect of technology, features, and data security on the decision to use the AJAIB application as an application for investment. The data collection method used in this study uses a descriptive method with a regression approach and Nagelkerke R Square is a method that aims to describe the magnitude of the influence and relationship of something that is ongoing at the time the research is conducted. The population in this study are people who use AJAIB applications who are domiciled in the DKI Jakarta area. The data analysis technique used by the author in this study is to use validity testing tools, reliability tests, Likert scales, binary logistic regression tests, and Nagelkerke R Square tests. The results in this study are, technology variables, features and data security have a positive and significant effect