KAUST's Stochastic Numerics Research Group is developing methods for pricing European options. Their approach, detailed in an upcoming Journal of Computational Finance article, focuses on systematically tuning parameters to achieve accuracy while minimizing computational effort. The goal is to enable automated computation of fair prices for options contracts, similar to how insurance companies determine premiums. Why it matters: This research advances computational finance in the region, potentially improving risk management and investment strategies.
According to Gulf News, geopolitical tensions between Iran and the US can create opportunities for UAE investors. Market dips caused by such tensions provide a chance to buy stocks at lower prices. The article suggests that investors should focus on fundamentally strong companies during these periods.
This article discusses conscious investing and its potential in the Middle East, particularly in light of unprecedented market conditions. It argues that investments should align with values and aim for positive global impact, moving beyond solely maximizing shareholder value. Conscious investing can be as profitable as traditional investing while addressing social and environmental challenges. Why it matters: The piece advocates for integrating ethical considerations into investment strategies within the region, which could lead to more sustainable and socially responsible economic development.
This paper introduces DaringFed, a novel dynamic Bayesian persuasion pricing mechanism for online federated learning (OFL) that addresses the challenge of two-sided incomplete information (TII) regarding resources. It formulates the interaction between the server and clients as a dynamic signaling and pricing allocation problem within a Bayesian persuasion game, demonstrating the existence of a unique Bayesian persuasion Nash equilibrium. Evaluations on real and synthetic datasets demonstrate that DaringFed optimizes accuracy and convergence speed and improves the server's utility.