Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...

How your company can adapt to a complex world. by Jana Werner and Phil Le-Brun The metaphor for business organizations has long been the machine. Like machines, most companies are designed to create ...

Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...

The expected value of a random variable is a fundamental concept in probability theory, statistics, and decision theory. It represents the average value we would expect to obtain if we were to repeat ...

Abstract: In this paper, a novel mathematical framework based on Continuous Mixture of Uniforms (CMU) for modeling the Residual Lifetime physical phenomenon is proposed. Through an alternative and ...