M. H. I. Dore
In dynamic investment planning the time of investment is a significant issue. By simplifying the mathematical notation, the author of this book seeks to make control theory a practical tool that can be applied to the problem of timing.
The book, first published in 1977, begins with an introduction to one important approach to control theory – dynamic programming. Then some of the relevant literature that deals with investment decision-making is reviewed. This is followed by a mathematically formulated planning model. The computational aspects of the model are discussed and a complete computer flow chart is given.
The second part of the book gives a thorough application of the theory by means of a detailed case study – the planning of a steel industry. The case study illustrates how a fairly abstract dynamic analysis can be effectively integrated with practical decision-making concerns.
This book is ideal for students of economics and business.
Preface; Part One: Theory; 1. Introduction 2. Introduction to Dynamic Programming 3. Dynamic Investment Planning: A Survey 4. An Investment Planning Model with Economies of Scale 5. Computational Aspects of the Model; Part Two: Application; 6. Planning a Steel Industry 7. The Required Parameters and their Estimation 8. Computational Results of the Model 9. An Extension of the Model to Social Cost Benefit Theory and Computational Results 10. The Planning Problem in Perspective 11. Summary and Conclusion; Bibliography; Index
In dynamic investment planning the time of investment is a significant issue. By simplifying the mathematical notation, the author of this book, first published in 1977, seeks to make control theory a practical tool that can be applied to the problem of timing. This book is ideal for students of economics and business.
Inhaltsverzeichnis
Preface; Part One: Theory; 1. Introduction 2. Introduction to Dynamic Programming 3. Dynamic Investment Planning: A Survey 4. An Investment Planning Model with Economies of Scale 5. Computational Aspects of the Model; Part Two: Application; 6. Planning a Steel Industry 7. The Required Parameters and their Estimation 8. Computational Results of the Model 9. An Extension of the Model to Social Cost Benefit Theory and Computational Results 10. The Planning Problem in Perspective 11. Summary and Conclusion; Bibliography; Index
Klappentext
In dynamic investment planning the time of investment is a significant issue. By simplifying the mathematical notation, the author of this book seeks to make control theory a practical tool that can be applied to the problem of timing. The book, first published in 1977, begins with an introduction to one important approach to control theory - dynamic programming. Then some of the relevant literature that deals with investment decision-making is reviewed. This is followed by a mathematically formulated planning model. The computational aspects of the model are discussed and a complete computer flow chart is given. The second part of the book gives a thorough application of the theory by means of a detailed case study - the planning of a steel industry. The case study illustrates how a fairly abstract dynamic analysis can be effectively integrated with practical decision-making concerns. This book is ideal for students of economics and business.
