Investment Management and Mismanagement: History, Findings, and Analysis (Innovations in Financial Markets and Institutions, 17)

Investment Management and Mismanagement: History, Findings, and Analysis will present the reader with: (1) a brief overview of portfolio management and its historical evolution , (2) the findings of a substantial amount of academic research into the performance of portfolio managers, (3) the various issues associated with both institutional and individual portfolio mismanagement, and (4) a treatment of the areas of suitability and churning The articles referenced are primarily works from academic journals, including: The Journal of Finance, Journal of Financial Economics, and others, as well as from practitioner-oriented venues, such as Financial Analyst Journal and various law journals. This work should be of value to academic researchers as a convenient source of summarized studies in these areas, while practitioners will find value its content as an efficient reference for determining the benefits of asset management as well as potential pitfalls. INVESTMENT MANAGEMENT AND MISMANAGEMENT: History, Findings, and Analysis is designed for academic researchers, legal professionals, and practitioners who are interested in the various issues surrounding both professional and individual investment management. These issues include performance, anomalies, market timing, suitability, and churning, among others. The construct of mismanagement is presented in light of the impact of various costs on investment returns. "The book starts with a concise, yet informative, history of the primary entities of the investment industry. The first part of the book interestingly points out that many of the industry's challenges are not particularly new, but have been played out again and again throughout the existence of our financial markets. Against that backdrop, the author then proceeds to lay out the myriad of challenges inherent in today's environment. The book covers important topics, ranging from mutual funds' inability to consistently provide value, to the performance of individual investors. As to the problems of suitability and churning, the material clearly leads the reader to understand that these issues are rooted in the traditional method of compensation to brokers. The conflict of interest inherent in this method cannot be resolved until the manner of compensation is revised. This is a good review for the experienced investment professional, as well as an excellent overview for the novice." Kathleen A. Wayner President and CEO Darren C. Kavesh Chief Investment Officer Bowling Portfolio Management 513-871-7776 Kalman Filtering With Real-time Applications Presents A Thorough Discussion Of The Mathematical Theory And Computational Schemes Of Kalman Filtering. The Filtering Algorithms Are Derived Via Different Approaches, Including A Direct Method Consisting Of A Series Of Elementary Steps, And An Indirect Method Based On Innovation Projection. Other Topics Include Kalman Filtering For Systems With Correlated Noise Or Colored Noise, Limiting Kalman Filtering For Time-invariant Systems, Extended Kalman Filtering For Nonlinear Systems, Interval Kalman Filtering For Uncertain Systems, And Wavelet Kalman Filtering For Multiresolution Analysis Of Random Signals. The Last Two Topics Are New Additions To This Third Edition. Most Filtering Algorithms Are Illustrated By Using Simplified Radar Tracking Examples. The Style Of The Book Is Informal, And The Mathematics Is Elementary But Rigorous. The Text Is Self-contained, Suitable For Self-study, And Accessible To All Readers With A Minimum Knowledge Of Linear Algebra, Probability Theory, And System Engineering. Preliminaries -- Kalman Filter, An Elementary Approach -- Orthogonal Projection And Kalman Filter -- Correlated System And Measurement Noise Processes -- Colored Noise -- Limiting Kalman Filter -- Sequential And Square Root Algorithms -- Extended Kalman Filter And System Identification -- Decoupling Of Filtering Equations -- Kalman Filtering For Interval Systems -- Wavelet Kalman Filtering -- Notes. By Charles K. Chui, Guanrong Chen. This book presents a thorough discussion of the mathematical theory of Kalman filtering. The filtering equations are derived in a series of elementary steps enabling the optimality of the process to be understood. It provides a comprehensive treatment of various major topics in Kalman-filtering theory, including uncorrelated and correlated noise, colored noise, steady-state theory, nonlinear systems, systems identification, numerical algorithms, and real-time applications. A series of problems for the student, together with a complete set of solutions, are also included. The style of the book is informal, and the mathematics elementary but rigorous, making it accessible to all those with a minimal knowledge of linear algebra and systems theory. In this second edition, in addition to some minor corrections and up-dating, the section on real-time system identification has been expanded and a brief introduction to wavelet analysis included. This book presents a critical analysis of four critical areas of investment management. Coverage includes an overview of portfolio management and its historical evolution; review and analysis of a range of academic research into the performance of portfolio managers; issues associated with both institutional and individual portfolio mismanagement; and a treatment of the important topics of suitability and churning. The contents are gathered from top academic, investment and law journals. Presents the reader with an overview of portfolio management and its historical evolution, and the findings of a substantial amount of academic research into the performance of portfolio managers. This work is of interest to academic researchers and practitioners