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A practitioner's guide to ex-post performance measurement techniques Risk within asset management firms has an undeserved reputation for being an overly complex, mathematical subject. This book simplifies the subject and demonstrates with practical examples that risk is perfectly straightforward and not as complicated as it might seem. Unlike most books written on portfolio risk, which generally focus on ex-ante risk from an academic perspective using complicated language and no worked examples, this book focuses on ex-post risk from a buy side, asset management, risk practitioners perspective, including a number of practical worked examples for risk measures and their interpretation.
The purpose of this thesis is to examine if and how the hedge fund manager’s background characteristics and strategy applied affect the fund’s performance, as measured by average monthly return, risk and risk-adjusted monthly return. This is done by collecting data on 41 different hedge fund managers in Sweden and then performing robust OLS regressions. Our main results are that applying a long-short equity strategy generates higher return, higher risk, and higher risk-adjusted return compared to the other strategies. Hedge fund managers with previous studies in business and economics generate lower return, take on less risk and generate lower risk-adjusted return. We find modest evidence of lower risk taking among former students of Lund University. Investing private funds in the hedge fund are found to have a negative impact on risk-adjusted return.
This paper deals with estimating either the current or the future value of money using a risk, inflation and sensitivity adjusted cash flow. In most often, there exists high variation between the actual and the projected cash flow of a business firm and this had been set as a problem for long periods. The main cause of this variation is that the cash flow we use in valuation has not adjusted with future inflation, risk and sensitivity rates to suit it according to the business firm changeable transaction. Since a business firm which focused on economic profit concentrates on the net cash return on the invested capital, the projection of cash flow depends on a risk, inflation, sensitivity- adjusted performance rate, the rate at which the current economic profit growth from the previous. So that, the projected outgoing cash flow would be set with in the capacity and cash limit of the firm.
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The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.
Performance measurement is an integral part of running a business. Performance metrics are very important because they shape and drive organizational behavior. This book addresses two key questions: (1) How can existing enterprise performance measurement systems be comprehensively evaluated? (2) What tools can be applied to the design of metrics to enable better strategic alignment, monitoring and reporting of business activities, and proactive decision-making? The author has worked closely with his company management and researchers from the Massachusetts Institute of Technology to make this book as useful and practical as possible.
Kenji Imai Advanced Financial Risk Management. Tools and Techniques for Integrated Credit Risk and Interest Rate Risk Management
Practical tools and advice for managing financial risk, updated for a post-crisis world Advanced Financial Risk Management bridges the gap between the idealized assumptions used for risk valuation and the realities that must be reflected in management actions. It explains, in detailed yet easy-to-understand terms, the analytics of these issues from A to Z, and lays out a comprehensive strategy for risk management measurement, objectives, and hedging techniques that apply to all types of institutions. Written by experienced risk managers, the book covers everything from the basics of present value, forward rates, and interest rate compounding to the wide variety of alternative term structure models. Revised and updated with lessons from the 2007-2010 financial crisis, Advanced Financial Risk Management outlines a framework for fully integrated risk management. Credit risk, market risk, asset and liability management, and performance measurement have historically been thought of as separate disciplines, but recent developments in financial theory and computer science now allow these views of risk to be analyzed on a more integrated basis. The book presents a performance measurement approach that goes far beyond traditional capital allocation techniques to measure risk-adjusted shareholder value creation, and supplements this strategic view of integrated risk with step-by-step tools and techniques for constructing a risk management system that achieves these objectives. Practical tools for managing risk in the financial world Updated to include the most recent events that have influenced risk management Topics covered include the basics of present value, forward rates, and interest rate compounding; American vs. European fixed income options; default probability models; prepayment models; mortality models; and alternatives to the Vasicek model Comprehensive and in-depth, Advanced Financial Risk Management is an essential resource for anyone working in the financial field.
Many investment books include a chapter or two on investment performance measurement or focus on a single aspect, but only one book addresses the breadth of the field. Investment Performance Measurement is a comprehensive guide that covers the subjects of performance and risk calculation, attribution, presentation, and interpretation. This information-packed book covers a wide range of related topics, including calculation of the returns earned by portfolios; measurement of the risks taken to earn these returns; measurement of the risk and return efficiency of the portfolio and other indicators of manager skill; and much more. By reviewing both the concepts of performance measurement and examples of how they are used, readers will gain the insight necessary to understand and evaluate the management of investment funds. Investment Performance Measurement makes extensive use of fully worked examples that supplement formulas and is a perfect companion to professional courses and seminars for analysts. Bruce J. Feibel, CFA, is Product Manager at Eagle Investment Systems, an investment management software provider located in Newton, Massachusetts. He is responsible for overseeing the development of Eagle's investment performance measurement, attribution, and AIMR/GIPS compliance software. Prior to joining Eagle, Mr. Feibel was a principal at State Street Global Advisors. He earned his BS in accounting from the University of Florida.
Trends of public accountability guide the introduction of performance measurement in municipal subsidy awarding of non-profit organizations in The Netherlands. Specific characteristics of this relation make that there are limitations on the application of existing performance measurement practices, which may cause a lack of essential stakeholder support. In this explorative case-study research, we analyze what key factors influence stakeholder support for performance measurement in the arts and culture-, housing association- and sport sector. Successively, we develop hybrid arrangements that increase the level of stakeholder support by varying, mitigating or conditioning the alternative values of the key factors. As well as the practical value of the hybrid arrangements, this research has its theoretical value in showing that the traditional ‘hard’ instrument of performance measurement transforms in ‘softer’ negotiated arrangements by the Dutch stakeholder-collecting Polder model.