Springer Investment in Uncertainty: 21 - Applied Optimization

Investment in Uncertainty: 21 is a comprehensive guide from Springer that explores the mathematical and financial foundations of investment decision-making under uncertain conditions. Part of the Applied Optimization series, this book addresses the critical challenge of managing investments when outcomes cannot be predicted with certainty. The first section covers preparation of investments, examining how company stability affects investment strategies and tracing the evolution of investment process studies. It introduces essential arithmetical methods for selection problems, including techniques for working with non-numerical elements. The second part focuses on programming investment activity, presenting classical programming techniques and practical approaches to handling complex investment programmes. Readers will learn how to incorporate costs into investment projects and estimate financial requirements throughout the entire process. The third section tackles financial risk management, providing frameworks for understanding and mitigating the financial aspects of investment decisions. Ideal for professionals, academics and students in accounting, finance and business optimisation, this Springer publication combines theoretical rigour with practical application.