Hunter Holzhauer – författare

This timely book explores investment risk and return as fundamental concepts that underpin financial decision-making and portfolio management. With contributions from scholars and practitioners, it combines conceptual frameworks with real-world applications, providing insights into the consequences of past miscalculations of risk and returns and how advanced techniques help to improve decision-making.Understanding Investment Risk and Return outlines how investors can measure and manage both concepts to achieve their financial goals, such as controlling inflation and maximizing risk-adjusted performance. It integrates theoretical frameworks for portfolio optimization, including the efficient frontier, the capital asset pricing model (CAPM), and more advanced factor models that explain asset returns and risk exposures. Chapters explore how these models evolve with the integration of less traditional benefits such as derivatives and digital assets alongside technological advancements including AI and machine learning.With discussion questions at the end of each chapter to provoke further consideration and understanding of the topics, this book is a valuable tool for advanced students of financial economics and educators in the field alike.

This timely book explores investment risk and return as fundamental concepts that underpin financial decision-making and portfolio management. With contributions from scholars and practitioners, it combines conceptual frameworks with real-world applications, providing insights into the consequences of past miscalculations of risk and returns and how advanced techniques help to improve decision-making.Understanding Investment Risk and Return outlines how investors can measure and manage both concepts to achieve their financial goals, such as controlling inflation and maximizing risk-adjusted performance. It integrates theoretical frameworks for portfolio optimization, including the efficient frontier, the capital asset pricing model (CAPM), and more advanced factor models that explain asset returns and risk exposures. Chapters explore how these models evolve with the integration of less traditional benefits such as derivatives and digital assets alongside technological advancements including AI and machine learning.With discussion questions at the end of each chapter to provoke further consideration and understanding of the topics, this book is a valuable tool for advanced students of financial economics and educators in the field alike.