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All Journal International Journal of Business, Economics, and Social Development Jurnal Matematika Integratif
Dwi Susanti
Universitas Padjadjaran
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Transportation

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Comparison of Performance from Green Bonds and Conventional Bonds Traded on the Indonesia Stock Exchange Wiliya Wiliya; Dwi Susanti; Sukono Sukono
International Journal of Business, Economics, and Social Development Vol 2, No 4 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v2i4.169

Abstract

Bonds are types of securities in the form of a debt acknowledgment letter for loan money from the public in a certain form, but with a minimum tenor of three years and promise of interest rewards in which the amount and payment have been determined in advance. Looking at the current global problems regarding degradation of environmental equality and climate change, bonds were developed where the proceeds of issuance were exclusively applied to finance environmentally friendly projects, is green bonds. However, the issuance of green bonds in Indonesia is slight. This research aims to find out the comparison of individual performance of green bonds and conventional bonds traded on the Indonesia Stock Exchange. The method used to measure performance is Sharpe Ratio. The result indicates that performance of green bond worse than conventional bond. This research can be used as a consideration for investor in making investment based on performance.
Analisis Perbandingan Hasil Peramalan Harga Saham Menggunakan Model Autoregresive Integrated Moving Average dan Long Short Term Memory Luki Setiawan; Dwi Susanti; Riaman Riaman
Jurnal Matematika Integratif Vol 19, No 2: Oktober 2023
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jmi.v19.n2.42164.223-234

Abstract

Saham menjadi salah satu instrumen investasi yang populer di tengah masyarakat modern. Saham berpotensi memberikan keuntungan yang besar namun juga memiliki risiko yang besar, oleh sebab itu dibutuhkan peramalan harga saham untuk menghadapi risiko dalam berinvestasi saham. Data harga saham termasuk ke dalam data deret waktu sehingga diperlukan analisis deret waktu dalam meramalkannya. Terdapat dua model populer dalam meramalkan data deret waktu yaitu Model Autoregressive Integrated Moving Average (ARIMA) dan Model Long Short Term Memory (LSTM). Tujuan dalam penelitian ini adalah untuk menemukan model ARIMA terbaik dan kombinasi hyperparameter model LSTM terbaik, serta membandingkan akurasi hasil peramalan kedua model tersebut untuk memperoleh model yang terbaik dalam meramalkan harga saham terpilih. Metode Maximum Likelihood Estimation digunakan dalam mengestimasi parameter model ARIMA dan Metode Trial and Error digunakan dalam menentukan kombinasi hyperparameter model LSTM. Data yang digunakan adalah data harga penutupan saham BBCA, BBTN, dan BMRI selama 1 tahun (1 April 2021 – 31 Maret 2022). Hasil penelitian menunjukkan bahwa model LSTM merupakan model terbaik dalam meramalkan data harga saham BBCA, sementara itu model ARIMA (1,1,0) merupakan model terbaik dalam meramalkan data harga saham BBTN dan BMRI. Seluruh hasil peramalan dengan menggunakan model terbaik untuk masing-masing saham, masuk ke dalam kriteria peramalan yang sangat akurat karena memiliki nilai MAPE <10%.
Co-Authors Luki Setiawan Riaman Riaman Sukono . Wiliya Wiliya