Author(s)

Ying Zhu ¹, Jiawen Lv ¹

Affiliation(s)

¹ Department of Finance, Wenzhou-kean University, Wenzhou, China

Corresponding Author

ABSTRACT

This article is mainly about how to use LSTM method to estimate the investment portfolio. Since stock market forecasting is a hot topic and many investors are attracted and confused right now, we will take a method for more accurate stock market forecasting. We analyzed losses, normalized closing price, and when do purchases have the highest income and when do purchases have the lowest income.  In this paper, we mainly analyze the stock market situation of Apple. To visualize our results, we draw five figures. The results of the experiment show that our method perform better compared with other method. 

KEYWORDS

CITE THIS PAPER

Ying Zhu, Jiawen Lv, Using LSTM models to build a better portfolio of Apple Company. Financial Engineering and Risk Management (2023) Vol. 6: 8-14. DOI: http://dx.doi.org/10.23977/ferm.2023.060102.

REFERENCES

[1] J. Du, Q. Liu, K. Chen and J. Wang, "Forecasting stock prices in two ways based on LSTM neural network," 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chengdu, China, 2019, pp. 1083-1086, doi: 10.1109/ITNEC.2019.8729026.
[2] Pawar, K., Jalem, R.S., Tiwari, V. (2019). Stock Market Price Prediction Using LSTM RNN. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_58
[3] A. Tsantekidis, N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj and A. Iosifidis, "Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks," 2017 IEEE 19th Conference on Business Informatics (CBI), Thessaloniki, Greece, 2017, pp. 7-12, doi: 10.1109/CBI.2017.23.
[4] Eiteman, D. K., Stonehill, A. I., Moffett, M. H., & Kwok, C. (1989). Multinational business finance (pp. 574-575). Reading, MA: Addison-Wesley.
[5] H. Shi, G. Yuan, Z. Lu and Q. Liang, "LSTM Based Model For Apple Inc Stock Price Forecasting," 2021 2nd International Conference on Computer Science and Management Technology (ICCSMT), Shanghai, China, 2021, pp. 48-51, doi: 10.1109/ICCSMT54525. 2021.00017.
[6] Sen, Jaydip; Mehtab, Sidra (2021): A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.15023361.v1
[7] Tao, Z., & Gupta, G. (2022). Stock Investment Strategies and Portfolio Analysis. In Proceedings of Academia-Industry Consortium for Data Science (pp. 397-406). Springer, Singapore.
[8] Qin, J., Huang, S., Yang, B., Ma, Y., Tao, Z., & Chen, S. (2022). Analyze the Impact of Bitcoin on Stock Portfolio's Risk and Return Based on Past 3 Years' Data. In 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022) (pp. 1175-1184). Atlantis Press.
[9] Mohapatra, S., Mukherjee, R., Roy, A., Sengupta, A., & Puniyani, A. (2022). Can Ensemble Machine Learning Methods Predict Stock Returns for Indian Banks Using Technical Indicators? Journal of Risk and Financial Management, 15(8), 350.
[10] Kim, H., Lee, S., Soh, S. B., & Kim, S. (2022). Improving portfolio investment performance with distance‐based portfolio‐combining algorithms. Journal of Financial Research, 45(4), 941-959.

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