Pricing of Derivatives under Fintech Innovation: A Case Study of NVIDIA and SoFi
Authors
Zeyu Zhang1, *
1The University of Western Australia, 230 Hampden Road, Crawley, 6009, Perth, WA, Australia
*Corresponding author. 
  Email: 23905563@student.uwa.edu.au
Corresponding Author
Zeyu Zhang
Available Online 5 May 2025.
- DOI
- 10.2991/978-94-6463-702-1_20How to use a DOI?
- Keywords
- Fintech; derivative pricing; Black Scholes model; Nvidia; SoFi; pricing efficiency
- Abstract
- Financial technology is transforming derivative pricing. This article analyzes Nvidia and SoFi Technologies’ impacts. Nvidia’s AI computing boosts financial modeling, while SoFi’s platform improves derivative pricing efficiency and accuracy. The article outlines challenges and opportunities, analyzes how tech innovation enhances pricing models, and provides directions for future models based on these cases. 
- 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 - Zeyu Zhang PY - 2025 DA - 2025/05/05 TI - Pricing of Derivatives under Fintech Innovation: A Case Study of NVIDIA and SoFi BT - Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025) PB - Atlantis Press SP - 189 EP - 195 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-702-1_20 DO - 10.2991/978-94-6463-702-1_20 ID - Zhang2025 ER -