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Pengaruh Literasi Keuangan, Pendapatan, Ekspektasi Return, dan Fluktuasi Harga Emas Terhadap Minat Berinvestasi Emas di Kalangan Gen Z: Studi Kasus Pada Kota Jakarta Barat Natasya Prawesti; Randy Kuswanto
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 7 No. 6 (2025): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v7i6.8064

Abstract

This study aims to analyze the effect of financial literacy, income, Return expectations, and gold price fluctuations on interest in investing in gold among Gen Z in West Jakarta City. This research design is quantitative research. The object of this research is Gen Z who lives in West Jakarta. Respondent data collection was carried out by distributing questionnaires in the form of google forms through online media. The assessment in the questionnaire uses a Likert scale. The sampling technique used purposive sampling method. The data obtained were analyzed using multiple linear regression to determine the extent to which each variable affects gold investment interest. This study indicates that financial literacy and gold price fluctuations have a positive and significant effect, while income and Return expectations have a negative and insignificant effect on Gen Z's interest in investing in gold in West Jakarta. This research is expected to be the basis for formulating more effective financial education strategies and investment policies to increase public participation in gold investment.
The Influence of Self-Control, Social Pressure, and Promotional Strategies on the Consumer Behavior on Pay Later Consumer Behavior with Financial Literacy as a Moderation Juphiter Henry; Sellyna Sellyna; Belicia Anabel; Randy Kuswanto
Primanomics : Jurnal Ekonomi & Bisnis Vol. 24 No. 1 (2026): Primanomics : Jurnal Ekonomi dan Bisnis
Publisher : LPPM Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/pe.v24i1.4038

Abstract

The rapid development of financial technology has led to a significant increase in the use of pay-later services, in Indonesia, offering transactional convenience but also raising concerns over rising consumerist behavior. This study aims to analyze the influence of self-control, social pressure, and promotional strategies on the consumptive behavior of pay later users, with financial literacy serving as a moderating variable. A quantitative research approach was employed, using questionnaires distributed to active pay later users in West Jakarta. Data were analyzed using multiple linear regression and moderated regression analysis (MRA). The findings are expected to demonstrate that self-control negatively affects consumptive behavior, while social pressure and promotional strategies have a positive influence. Furthermore, financial literacy is predicted to moderate these relationships by weakening both the negative and positive effects. The study provides theoretical and practical insights into understanding consumer behavior in digital finance, emphasizing the importance of financial literacy in promoting responsible spending.
POTENTIAL STOCK PRICE TREND PREDICTION USING GENERATIVE AI MODEL: (COMPARATIVE STUDY BASED ON FINANCIAL RATIO DATA AND HISTORICAL STOCK PRICES) Lidia Radjah; Randy Kuswanto
Kajian Akuntansi Vol. 26 No. 1 (2025): June 2025
Publisher : UPT Publikasi Ilmiah UNISBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/kajian_akuntansi.v26i1.7190

Abstract

The rapid advancement of generative AI offers notable implications for investment decision-making, yet studies utilizing financial ratios to predict stock prices remain limited. This research aims to evaluate the potential of AI models ChatGPT, Gemini, Deepseek, and Claude in forecasting LQ45 stock price trends using financial ratios and historical data, while also testing the consistency of their predictions over time. Employing an experimental quantitative approach, this study analyzes predictions made by four AI models for 23 LQ45-listed companies during the 2021–2023 period. Robustness was assessed by administering identical prompts at two different times and analyzing the results using the Paired Sample t-Test. Accuracy was evaluated at two levels: trend prediction accuracy (Level 1) and price prediction error (Level 2). The findings reveal that while AI models show relatively stable performance in trend direction prediction, their accuracy varies across models. Forecasting exact stock prices remains challenging, indicating AI's current limitations as a fully reliable predictive tool.
ANALISIS KINERJA PORTOFOLIO SAHAM DENGAN METODE SHARPE, TREYNOR, DAN JENSEN (STUDI PADA SAHAM IDX80) Lius Dionosius; Marvin Hendrily; Randy Kuswanto
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/re923349

Abstract

Perkembangan pasar modal Indonesia yang semakin rumit menuntut penggunaan metode yang lebih canggih dalam menilai kinerja portofolio saham, terutama untuk saham-saham berkapitalisasi besar dan memiliki tingkat likuiditas tinggi. Penelitian ini bertujuan mengevaluasi kinerja portofolio saham dalam indeks IDX 80 dengan menerapkan tiga pendekatan analisis, yaitu metode Sharpe, Treynor, dan Jensen, pada periode 2021 hingga 2024, dengan fokus pada pengukuran imbal hasil yang disesuaikan dengan risiko (risk-adjusted return) berdasarkan perhitungan return harian. Penelitian ini menggunakan pendekatan kuantitatif deskriptif dengan perbandingan, serta teknik purposive sampling untuk memilih saham yang secara konsisten tercatat dalam indeks IDX 80. Data yang digunakan merupakan data sekunder, meliputi harga saham harian, tingkat suku bunga SBI yang dikonversi ke tingkat harian sebagai proxy risk-free rate, serta return pasar yang direpresentasikan oleh IHSG. Teknik analisis data mencakup statistik deskriptif, transformasi Z-score, dan analisis korelasi untuk mengukur konsistensi peringkat kinerja antar ketiga metode. Hasil penelitian menunjukkan adanya penurunan kinerja portofolio yang cukup signifikan. Nilai rasio Sharpe, yang sebelumnya tergolong sangat baik sebesar 4,610 pada tahun 2022, turun menjadi negatif -0,066 pada tahun 2024. Rasio Treynor juga menunjukkan penurunan dari 0,04545 menjadi -0,00057. Sementara itu, Jensen's Alpha tetap menunjukkan nilai positif, meskipun mengalami penurunan dari 0,000198 menjadi 0,000186. Temuan ini mengindikasikan bahwa kondisi makroekonomi, kebijakan moneter dari Bank Indonesia, serta pelemahan kinerja fundamental emiten merupakan faktor utama yang menyebabkan penurunan kinerja portofolio. Ketiga metode evaluasi secara konsisten mencerminkan tren penurunan kinerja, meskipun Jensen's Alpha cenderung memberikan pandangan yang lebih optimistis terhadap potensi portofolio untuk mengungguli pasar. Studi ini menegaskan pentingnya penggunaan berbagai indikator kinerja secara simultan dalam menilai performa portofolio serta memberikan kontribusi empiris bagi kajian literatur pengukuran kinerja portofolio di pasar modal Indonesia, khususnya dalam situasi pasar yang penuh tantangan dan kondisi suku bunga yang meningkat.