Implementation of Jump Diffusion to Predict Stock Prices and Risk Analysis Using Value At Risk and Expected Shortfall (Case Study: PT. Indofood Sukses Makmur Tbk)

Authors

  • Feby Seru Departement of Mathematic, Universitas Cenderawasih, Indonesia
  • Miftachul Jannah 2Departement of Mathematic, Universitas Cenderawasih, Indonesia
  • Tiku Tandiangnga Departement of Mathematic, Universitas Cenderawasih, Indonesia

DOI:

https://doi.org/10.20956/j.v20i3.33261

Keywords:

Jump Diffusion Model, Stock Return, Investment, Prediction, Risk Analysis

Abstract

Stock prices often fluctuate; therefore, a model is needed to predict the stock price. One of the models that can be used to predict stock prices when experiencing a jump is Jump Diffusion. In addition to predicting, investment is inseparable from the risks that may be borne, so it is also necessary to measure risk. This study aims to implement the Jump Diffusion Model in predicting the stock price of PT Indofood Sukses Makmur Tbk and conduct a risk analysis of the prediction results using Value at Risk (VaR) and Expected Shortfall (ES). In this study, a model was obtained that was used to predict the share price of PT Indofood Sukses Makmur Tbk with a Mean Absolute Percentage Error (MAPE) value of 6.41%. This shows that the accuracy of the stock price prediction results is included in the very good category. In addition, the VaR value of the prediction results with a confidence level of 90%, 95%, and 99% is 0.0292, 0.0372, and 0.0523, and the ES value is 0.0402, 0.0474, and 0.0613.

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References

. Abidin, S. N. Z., & Jaffar, M. M., 2012. Forecasting Share Prices of Small Size Companies in Bursa Malaysia Using Geometric Brownian Motion. An International Journal of Applied Methematics & Information Sciences, Vol. 6, No. 1, 1–7.

. Azis, M., Mintarti, S., & Nadir, M., 2015. Manajemen Investasi Fundamental, Teknikal, Perilaku Investor dan Return Saham (Ed. 1). Yogyakarta: Deepublish. Jung, E., Lenhart S. & Feng Z., 2002. Optimal Control of Treatments in a Two-Strain Tuberculosis Model. Disc. & Cont. Dynamical Systems–Series B, Vol. 2, No. 4, 473-482.

. López, José E. Figueroa & Jeffrey Nisen., 2013. Optimally Thresholded Realized Power Variations for Lévy Jump Diffusion Models. Stochastic Processes and their Applications, Vol. 123, No. 7, 2648–2677.

. Chang, P. C., Wang, Y. W., & Liu, C. H., 2007. The Development of A Weighted Evolving Fuzzy Neural Network For PCB Sales Forecasting. Expert Systems with Applications, Vol. 32, No. 1, 86–96.

. Ditasari, P., Rohaeti, E., & Kamila, I., 2022. Aplikasi Geometric Brownian Motion dengan Jump Diffusion dalam Memprediksi Harga Saham Liquid Quality 45. Euler : Jurnal Ilmiah Matematika, Sains Dan Teknologi, Vol. 10, No. 1, 111–119.

. Fika, N., 2022. Penentuan Value At Risk Saham PT. Telkom Indonesia TBK Menggunakan Model Jump Diffusion Pada Simulasi Monte Carlo. Skripsi: Universitas Hasanuddin.

. Fitaloka, E., Sulistianingih, E., & Perdana, H., 2018. Pengukuran Value at Risk (VaR) Pada Portofolio dengan Simulasi Monte Carlo. Buletin Ilmiah Math. Stat. Dan Terapannya (Bimaster), Vol. 7, No. 2, 141–148.

. Ghozali, I., 2016. Aplikasi Analisis Multivariete dengan program IBM SPSS 23 (Ed. 8). Universitas Diponegoro, Semarang.

. Ilyas, I. A., Puspita, E., & Rachmatin, D., 2018. Prediksi Harga Saham Menggunakan Model Jump Diffusion. EurekaMatika, Vol. 6, No. 1, 33–42.

. Jorion, P., 2007. Value at Risk: The New Bemchmark in Controlling Market Risk, Third Edition. In The Mc Graw-Hill Companies, New York.

.[11]. Khoir, N., Asih, D., Maruddani, I., & Ispriyanti, D., 2022. Prediksi Harga Saham Menggunakan Geometric Brownian Motion with Jump Diffusion dan Analisis Risiko dengan Expected Shortfall (Studi Kasus: Harga Penutupan Saham PT. Waskita Karya Persero Tbk.), Vol. 11, No. 1, 153–162.

. Molino, A., dan Carlo S., 2020. Forecasting Value at Risk and Conditional Value at Risk Using Option Market Data. Journal Of Forecasting, Vol. 40, No. 7, 1–24.

Prihatiningsih, D. R., Maruddani, D. A. I., & Rahmawati, R., 2020. Value at Risk (VaR) dan Conditional Value at Risk (CVaR) dalam Pembentukan Portofolio Bivariat Menggunakan Copula Gumbel. Jurnal Gaussian, Vol. 9, No. 3, 326–335.

Ruppert, D., 2011. Statistical Data Analysis for Financial Engineering. Springer-Verlag, New York.

. Saepudin, Y., Yasin, H., & Santoso, R., 2017. Analisis Risiko Investasi Saham Tunggal Syariah dengan Value at Risk (VaR) dan Expected Shortfall (ES). Jurnal Gaussian, Vol. 6, No. 2, 271–280.

. Seru, F., 2023. Analisis Risiko VaR dan CVaR Pada Hasil Prediksi Harga Saham PT. Astra International Tbk. Silogisme: Kajian Ilmu Matematika Dan Pembelajarannya, Vol. 8, No. 1, 23–30.

. Sinha, Amit K., 2021. The Reliability of Geometric Brownian Motion Forecasts of S&P500 Index Values. Jurnal of Forecasting, Vol. 40, No. 8, 1–19.

. Su, Q., Zhongling Q., Liang P., dan Gengsheng Q., 2020. Efficiently Backtesting Conditional Value-at-Risk and Conditional Expected Shortfall. Journal of the American Statistical Association, Vol. 116, No. 536, 2041-2052.

. Trimono, & Maruddani, D. A. I., 2017. Valuasi Harga Saham PT Aneka Tambang Tbk sebagai Peraih IDX Best Blue 2016. Jurnal Statistika, Vol. 17, No. 1, 33–43.

. Zakia, H. I., 2017. Prediksi Harga Komoditas Minyak Mentah Menggunakan Model Geometric Brownian Motion. Tesis: Institut Teknologi Sepuluh November, Surabaya.

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Published

2024-05-15

How to Cite

Seru, F., Jannah, M. ., & Tandiangnga, T. . (2024). Implementation of Jump Diffusion to Predict Stock Prices and Risk Analysis Using Value At Risk and Expected Shortfall (Case Study: PT. Indofood Sukses Makmur Tbk). Jurnal Matematika, Statistika Dan Komputasi, 20(3), 680-692. https://doi.org/10.20956/j.v20i3.33261

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Section

Research Articles