Stalking the Black Swan: Research and Decision Making in a World of Extreme Volatility (Columbia Business School Publishing) Review

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Stalking the Black Swan: Research and Decision Making in a World of Extreme Volatility (Columbia Business School Publishing) ReviewIf you are serious about picking stocks, or making decisions generally, read this book. I am a portfolio manager that has valued the insights of Ken Posner for over a decade. I have long believed that the best and most useful analysts on Wall Street are the precious few that simply ask important questions about the companies they cover and set out to answer those questions without passion or prejudice. Peppered with what Charlie Munger calls "mental models", Ken explains how he does just that...and more. He reveals how he deals with the inevitable uncertainty in the answers he finds and, importantly, how he adjusts his conclusions for new information. Perhaps most interesting is the privilege of going along with Ken on his journey to revisit the recommendations he made on some of the most controversial financial companies during one of the most volatile times in modern financial history; essentially, a concentrated education in decision making during extreme uncertainty and volatility. Refreshingly, Ken balances academic contributions against the realities of a practitioner without jabbing at either side. The book is an essential read for all directors of research on both the "buyside" and "sellside" but also has broad appeal as a rare look into the mind of an effective decision-maker.Stalking the Black Swan: Research and Decision Making in a World of Extreme Volatility (Columbia Business School Publishing) Overview

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Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation Review

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Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation Review'Managing Business Complexity' is a great start at bridging the significant academic work in complexity science over recent years to business applications. It provides an introduction to agent-based simulations and an overview of the characteristics and advantages of agents, and walks the reader through two illustrative examples. Such examples are especially helpful to readers with little or no previous experience using agent-based models.
Applications of complexity science to business are still in their infancy. As such, the discussion in the book leans towards the academic, and more pointedly towards programmers rather than business practitioners with scant scientific background. Future editions of this book might benefit from including further business applications, and including the impact to bottom line.
This book is highly recommended as an overview of this exciting subject and its applicability to business situations.Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation Overview

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