Meta-Heuristic Algorithms for Advanced Distributed Systems

20Innovations in Distributed Computing for Enhanced Risk Management in Finance

Venkateswararao Podile¹, Syed M. Faisal², Gangu N. Mandala³, Shaik Altaf⁴, Nayana Harshitha⁴, Cheedella A.S. Lakshmi⁴, and Chunduru R. Chandan⁴

¹K. L. Business School, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

²Department of Management, Jazan University, Kabul, Saudi Arabia

³Department of Business Administration, Central Tribal University of Andhra Pradesh, Konda Karakam, Andhra Pradesh, India

⁴Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

20.1 Introduction

Risk management is a critical function in the financial industry, with the potential to minimize or eliminate losses arising from market volatility, credit, operational, or liquidity risks. As financial institutions process large amounts of data, the application of advanced technologies, such as distributed computing, has become essential to enable timely and accurate risk assessment. Analyze and manage large data volumes while simultaneously reducing the time and cost associated with risk management processes. The chapter highlights the theoretical frameworks that underpin distributed computing, the types of distributed computing technologies and applications, the challenges and limitations, as well as best practices for its implementation. The chapter concludes by identifying emerging trends and recommendations for future research on this topic. The ultimate goal is to provide insights ...