PreprintReviewVersion 1Preserved in Portico This version is not peer-reviewed
Advancements in Risk Management Software for Dealers and Brokers: Discuss the Latest Technologies and Methodologies in Risk Management Software Development
Version 1
: Received: 28 April 2024 / Approved: 29 April 2024 / Online: 29 April 2024 (10:34:27 CEST)
How to cite:
Kapil, D. Advancements in Risk Management Software for Dealers and Brokers: Discuss the Latest Technologies and Methodologies in Risk Management Software Development. Preprints2024, 2024041872. https://doi.org/10.20944/preprints202404.1872.v1
Kapil, D. Advancements in Risk Management Software for Dealers and Brokers: Discuss the Latest Technologies and Methodologies in Risk Management Software Development. Preprints 2024, 2024041872. https://doi.org/10.20944/preprints202404.1872.v1
Kapil, D. Advancements in Risk Management Software for Dealers and Brokers: Discuss the Latest Technologies and Methodologies in Risk Management Software Development. Preprints2024, 2024041872. https://doi.org/10.20944/preprints202404.1872.v1
APA Style
Kapil, D. (2024). Advancements in Risk Management Software for Dealers and Brokers: Discuss the Latest Technologies and Methodologies in Risk Management Software Development. Preprints. https://doi.org/10.20944/preprints202404.1872.v1
Chicago/Turabian Style
Kapil, D. 2024 "Advancements in Risk Management Software for Dealers and Brokers: Discuss the Latest Technologies and Methodologies in Risk Management Software Development" Preprints. https://doi.org/10.20944/preprints202404.1872.v1
Abstract
In the rapidly evolving FinTech sector, risk management is paramount for dealers and brokers. This paper underscores the significance and progression of risk management within this realm. Initially, it reviews the traditional risk management technologies and their inherent limitations. The discourse then shifts to contemporary solutions, specifically emphasizing the role of artificial intelligence, machine learning algorithms, and big data analytics in forecasting and mitigating potential risks. The paper also presents case studies of companies effectively utilizing these advanced techniques, highlighting their benefits in real-world scenarios. Additionally, it addresses forthcoming challenges, including regulatory compliance, data privacy issues, and the imperative for strengthened cybersecurity measures. The conclusion acknowledges that the adoption of these innovative technologies not only boosts operational efficiency but also markedly diminishes financial risks, thereby contributing to a more stable and reliable financial market
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
