The Bjerksund-Stensland model is a key method for pricing American options. It helps investors determine optimal times for exercising options with dividends considered.

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our agents “fix” themselves?

The Treynor-Black model combines an active and passive portfolio strategy to enhance risk-adjusted returns. Discover how it optimizes portfolios for better performance.

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...

Under energy structure transformation and multi-energy complementary development, there is an urgent need to explore more efficient, clean and low-carbon integrated energy utilization. The ...

Abstract: The emergence of connected vehicle (CV) technology has prompted research on leveraging real-time CV data for more effective traffic signal control. However, existing studies tend to i) ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

1 State Grid Anhui Electric Power Co., Ltd., Hefei, China 2 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China Since renewable energy generation has strong ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...