The rise of automation in portfolio management and optimization exposes a flaw between managers and machines: Is the optimization process actually tied to the portfolio? And are managers really ...

Portfolio optimisation and risk management form the bedrock of modern financial strategy, seeking to balance potential returns with manageable levels of risk. Building on the foundational work of ...

We were visiting a hedge fund some years back when we had our first taste of the problem with mean-variance optimization—the tool advisors use to balance risk and reward in client portfolios. We ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

Every investment involves some level of risk. Investors typically seek higher returns to compensate for increased investment risks. While higher risk may result in higher returns, an optimised ...

Perold, André, and Harry M. Markowitz. "Sparsity and Piecewise Linearity in Large Portfolio Optimization Problems." In Sparse Matricies and Their Uses, edited by I. S. Duff. Academic Press, 1981.

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 ...

Quantum computing is poised to revolutionize industries globally, with one of the most significant transformations expected in the financial sector. Two key areas where quantum technologies promise ...

Over the course of my 25-year career in the mathematical optimization software industry, I’ve lost count of how many times I’ve been asked this question: “Can you tell me what mathematical ...