RTQF Insight: EVT Risk Management & Neural PDE Solutions in Finance
The Convergence of Academia and Industry: Insights from RTQF 2026
The convergence of academia and industry has been a driving force in the development of quantitative finance. The Recent Trends in Quantitative Finance (RTQF) symposium, held at the Indian Institute of Science (IISc) Bangalore on February 20th and 21st, 2026, brought together experts from both fields to share their research and insights on the latest trends in quantitative finance.
The symposium aimed to bridge the gap between academia and industry by providing a platform for researchers to present their work and interact with practitioners. The event featured talks by leading experts in the field, including Prof. Anand Deo, Prof. Ariel Neufeld, and Prof. Prabir Kumar Das, among others.
EVT-Based Rate-Preserving Distributional Robustness
One of the key highlights of the symposium was the talk by Prof. Anand Deo on "EVT-Based Rate-Preserving Distributional Robustness for Tail Risk." In his presentation, Prof. Deo discussed the challenges of risk management in extreme scenarios and proposed a new approach to distributional robustness using Extreme Value Theory (EVT). He demonstrated that EVT-based methods can provide more accurate estimates of tail risk than traditional approaches.
The talk sparked an interesting discussion on the limitations of traditional risk measures and the potential benefits of EVT-based approaches. The audience was particularly interested in the implications for portfolio management, with some experts suggesting that EVT-based methods could lead to more robust risk models.
Random Neural Network Algorithm for Solving Nonlinear PDEs
Prof. Ariel Neufeld's talk on "Random Neural Network Algorithm for Solving Nonlinear PDEs in High-Dimensional Option Pricing" was another highlight of the symposium. In his presentation, Prof. Neufeld discussed a new algorithm for solving nonlinear partial differential equations (PDEs) using random neural networks. He demonstrated that the algorithm can efficiently solve high-dimensional option pricing problems and provided empirical evidence to support its effectiveness.
The talk raised questions about the potential applications of this technology in finance and its implications for portfolio management. Some experts wondered whether this approach could be used to improve the accuracy of risk models or to develop more sophisticated investment strategies.
A Primer on Blended Finance
Prof. Siddhartha P. Chakrabarty's talk on "A Primer on Blended Finance and its Framework" provided an overview of the concept of blended finance and its applications in quantitative finance. In his presentation, Prof. Chakrabarty discussed the architecture of blended finance, highlighting the role of concessional capital within the paradigm of asymmetric payoff profiles for heterogeneous investor objectives.
The talk sparked a lively discussion on the potential benefits and challenges of blended finance, with some experts suggesting that it could be used to improve risk management in emerging markets or to develop more sustainable investment strategies.
Emerging Financial Frontiers
Biju Mathew's talk on "A Systems Lens on Emerging Financial Frontier" explored the application of systems thinking to emerging areas in finance. In his presentation, Mr. Mathew discussed the challenges of modeling complex financial systems and proposed a new approach using systems thinking.
The talk raised questions about the potential applications of this technology in finance and its implications for portfolio management. Some experts wondered whether this approach could be used to improve the accuracy of risk models or to develop more sophisticated investment strategies.
DeFi and Sustainable Finance
Eshan Ahluwalia's talk on "Recent Trends of Practical Areas of Research in Investments and Risk" provided an overview of the current state of research in investments and risk. In his presentation, Mr. Ahluwalia discussed the evolution of modern portfolio construction, highlighting the critical role of advanced econometric techniques.
The talk sparked a lively discussion on the potential applications of this technology in finance and its implications for portfolio management. Some experts wondered whether this approach could be used to improve the accuracy of risk models or to develop more sophisticated investment strategies.
Practical Implementation
The symposium provided a unique opportunity for researchers and practitioners to interact and share their knowledge. The talks and discussions highlighted the importance of collaboration between academia and industry in advancing quantitative finance.
In conclusion, RTQF 2026 was a significant event that brought together experts from both academia and industry to share their research and insights on the latest trends in quantitative finance. The symposium provided a platform for researchers to present their work and interact with practitioners, highlighting the importance of collaboration between academia and industry in advancing quantitative finance.