Liner Regression Model Based Comprehensive Big Data Analysis on Asset Class Returns
- DOI
- 10.2991/978-94-6463-866-0_3How to use a DOI?
- Keywords
- Computational finance; Fintech; Linear regression; Repo rate
- Abstract
Reserve Bank of India decides on the interest rate at which it will be lending or borrowing money from other commercial banks. These interest rates are called as Repo rates. There is general consensus that when the repo rate decreases the price of goods and commodities like gold increases, and when repo rate increases the price of goods and commodities will decrease. Our empirical study analyzed the data using linear regression model confirms that, contrary to popular perception, the price of gold does not always change with respect to the Repo rate set by Reserve Bank of India. When the Reserve Bank of India reduced its repo rate by 2%, the price of IDBIGOLD increased by 31.87%. On the other hand, when the Reserve Bank of India raised the repo rate by 2.5% instead of a lower price, the IDBIGOLD price increased further by 15.52%. For the five-year period under the consideration, though the repo rate has increased only by 0.5%, the increase in price of IDBIGOLD was 84.48%.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sudarsanam AU - C. Ashokkumar PY - 2025 DA - 2025/10/31 TI - Liner Regression Model Based Comprehensive Big Data Analysis on Asset Class Returns BT - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025) PB - Atlantis Press SP - 15 EP - 26 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-866-0_3 DO - 10.2991/978-94-6463-866-0_3 ID - 2025 ER -