Open access Journal SINTA 1
Stock price forecast of macro-economic factor using recurrent neural network
IAES International Journal of Artificial Intelligence · Vol. 10 No. 1 (2021) · pp. 74–83
- ISSN
- 2252-8938, 2089-4872
- Published
- 2021-03-01
- Publisher
- Institute of Advanced Engineering and Science
- Language
- eng
Abstract
The stock market is one of the investment choices that always have traction from time to time. Aside from being a means of corporate funding, investing in the stock market can benefit investors. Investing also has a higher risk because the pattern of stock prices is volatile, which is caused by internal and external factors. One external factor that affects stock prices is the macro-economic, where these factors are events that occur in a country where one of the economic sectors affected is stock prices. Investors often feel confused about the right time in decisions making related to buying or selling stock. One way to look at how the prospect of stock prices is a stock price forecasting activity. For this study, we will be making use of the recurrent neural network (RNN) to forecast stock prices for the next periods. This research involves two variables: the closing stock price and the rupiah exchange rate against the dollar for the daily period. We achieve a MAPE value of 1.546% for RNN model without the variable foreign exchange rate and 1.558% for the RNN model that uses the foreign exchange rate against the dollar.
Keywords
Collaboration network of the authors
29 authors · 88 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Institut Teknologi Sepuluh Nopember
- Islamic University of Indonesia
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Wiwik Anggraeni | Institut Teknologi Sepuluh Nopember | 5 |
| I Gusti Agung Premananda | Institut Teknologi Sepuluh Nopember | 4 |
| Retno Aulia Vinarti | Affiliation unknown | 3 |
| Mursyidatun Nabilah | Affiliation unknown | 3 |
| Shof Rijal Ahlan Robbani | Affiliation unknown | 2 |
| Anang Firdaus | Institut Teknologi Sepuluh Nopember | 1 |
| Vicha Azthanty Supoyo | Institut Teknologi Sepuluh Nopember | 1 |
| Febriliyan Samopa | Institut Teknologi Sepuluh Nopember | 1 |
| Radityo Prasetianto Wibowo | Institut Teknologi Sepuluh Nopember | 1 |
| Tresnaning Arifiyah | Institut Teknologi Sepuluh Nopember | 1 |
| Pujiadi Pujiadi | Affiliation unknown | 1 |
| Siti Aminatus Zehroh | Institut Teknologi Sepuluh Nopember | 1 |
| Nur Aini Lestari | Institut Teknologi Sepuluh Nopember | 1 |
| Hendra Setiawan | Islamic University of Indonesia | 1 |
| Alvin Sahroni | Affiliation unknown | 1 |
| Hasballah Zakaria | Affiliation unknown | 1 |
| Yeyen Sudiarti | Affiliation unknown | 1 |
| Muhammad Ilham Perdana | Affiliation unknown | 1 |
| Adri Gabriel Sooai | Affiliation unknown | 1 |
| Yusnardo Tendio | Affiliation unknown | 1 |
| Helena Angelita Depari | Affiliation unknown | 1 |
| Muhammad Arif Nuriman | Affiliation unknown | 1 |
| I Gusti Agung Premananda | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.