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All Journal JISMA: Jurnal Ilmu Sosial, Manajemen, dan Akuntansi
Aziz Ramdhani, Muhammad Abdul
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Pengaruh Statistik Inferensial dalam Pengambilan Keputusan Investasi Margana, Marina Silvya; Aziz Ramdhani, Muhammad Abdul; Gitsni, Muhammad Faizal; Haikal Kamil, Muhammad Rizki; Sandrina, Nahla Galuh; Wardiyah, Mia Lasmi
JISMA: Jurnal Ilmu Sosial, Manajemen, dan Akuntansi Vol 3 No 2 (2024): Juni 2024
Publisher : Melati Institute

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Abstract

The application of inferential statistics in investment decision-making is a critical step in the world of modern finance. This research aims to explore how inferential statistical methods, such as regression, analysis of variance (ANOVA), and hypothesis testing, can be used to identify profitable investment opportunities and manage risk. Through case studies and historical data analysis, this research demonstrates that the use of inferential statistics can improve prediction accuracy and provide a stronger basis for investment decision-making. The results of this study are expected to provide insights for investors and portfolio managers in designing more effective investment strategies. Translated with DeepL.com (free version)
Pengaruh Statistik Inferensial dalam Pengambilan Keputusan Investasi Margana, Marina Silvya; Aziz Ramdhani, Muhammad Abdul; Gitsni, Muhammad Faizal; Haikal Kamil, Muhammad Rizki; Sandrina, Nahla Galuh; Wardiyah, Mia Lasmi
JISMA: Jurnal Ilmu Sosial, Manajemen, dan Akuntansi Vol 3 No 1 (2024): April 2024
Publisher : Melati Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The application of inferential statistics in investment decision-making is a critical step in the world of modern finance. This research aims to explore how inferential statistical methods, such as regression, analysis of variance (ANOVA), and hypothesis testing, can be used to identify profitable investment opportunities and manage risk. Through case studies and historical data analysis, this research demonstrates that the use of inferential statistics can improve prediction accuracy and provide a stronger basis for investment decision-making. The results of this study are expected to provide insights for investors and portfolio managers in designing more effective investment strategies. Translated with DeepL.com (free version)
Co-Authors Gitsni, Muhammad Faizal Haikal Kamil, Muhammad Rizki Margana, Marina Silvya Mia Lasmi Wardiyah, Mia Lasmi Sandrina, Nahla Galuh