Portfolio optimisation and asset allocation strategies have evolved into sophisticated tools for managing financial risks while striving for superior returns. Recent advancements integrate classical ...

The investment industry is undergoing a transformation that is largely attributable to technological advancements. Investors will benefit from a basic understanding of ML algorithms and the impact ...

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

The field of stochastic control and portfolio optimization under partial information focuses on the development of strategies that account for the inherent uncertainty of financial markets when not ...

A differentiating attribute of software companies is the way they integrate customer feedback into product development. Software is designed and built so that its use creates actionable data, which is ...

Portfolio optimization is a crucial aspect of managing finances for institutions. It involves deciding how to distribute wealth among different assets. Traditional methods of portfolio optimization ...

In this paper we propose a machine learning algorithm for time-inconsistent portfolio optimization. The proposed algorithm builds on neural-network-based trading schemes, in which the asset allocation ...

Ingersoll Rand pays out a small dividend, which allows them to utilize FCF to grow. The company has outperformed the S&P 500 over the past 5 years. Optimization of Ingersoll's portfolio has enabled ...

MIDLAND, Texas--(BUSINESS WIRE)--Permian Resources Corporation (“Permian Resources” or the “Company”) (NYSE: PR) today announced a series of recent portfolio optimization transactions consisting of ...