Download or read book Practical Risk Adjusted Performance Measurement written by Carl R. Bacon and published by John Wiley & Sons. This book was released on 2012-10-05 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Practical Risk Adjusted Performance Measurement written by Carl R. Bacon and published by John Wiley & Sons. This book was released on 2021-10-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore different measures of ex-post risk-adjusted performance measurement and learn to choose the correct one In the newly revised Second Edition of Practical Risk-Adjusted Performance Measurement, accomplished risk and investment expert Carl R. Bacon delivers an insightful, accessible, and real-world guide to ex-post risk measurement. The author bridges the gap between theory and practice, showing you how to apply the former to the latter without introducing unnecessary mathematical complexity. The book describes the fundamentals of risk in the asset management context and the descriptive statistics used to describe it. It builds on that foundation with detailed examinations of concepts like regression, drawdown, and partial moments, before moving on to topics like fixed income risk and Prospect Theory. With helpful additions that include recently developed measures of risk, supplementary explanatory sections, and six brand-new chapters, this book also offers: A practical classification of all ex-post risk measures and how they connect to one another An explanation of how risk-adjusted performance measures impact performance fees A discussion of risk measure dashboard designs Instructions on how appraisal measures should be used for manager selection Perfect for portfolio managers, asset owners, risk controllers, and investment performance analysts, Practical Risk-Adjusted Performance Measurement is an indispensable resource for anyone looking for a hands-on exploration of the buy-side, asset management perspective.

Download or read book Investment Performance Measurement written by Bruce J. Feibel and published by John Wiley & Sons. This book was released on 2003-04-21 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Asset Allocation Performance Measurement and Downside Risk written by Alexandra Elisabeth Janovsky and published by diplom.de. This book was released on 2001-03-26 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inhaltsangabe:Abstract: Investors should not and in fact do not hold a single asset, they hold groups or portfolios of assets. An important aspect in portfolio theory is that the risk of a portfolio is more complex than the risk of its components. It depends on how much the assets represented in the portfolio move together, that is, on the correlation between the single assets. In portfolio theory, there are several definitions of risk: First of all, the Capital Asset Pricing Model (CAPM) relies on the beta factor of an asset relative to the market as a measure for the asset s risk. On the other hand, also downside risk can be used in order to determine a portfolio s risk. The kind of risk in question is market risk, which is the risk of losses arising from adverse movements in market prices or rates. Market risk can be subdivided into interest rate risk, equity price risk, exchange rate risk and commodity price risk. For many investment decisions, there is a minimum return that has to be reached in order to meet different criteria. Returns above this minimum acceptable return ensure that these goals are reached and thus are not considered risky. Standard deviation captures the risk associated with achieving the mean, while downside risk assumes that only those returns that fall below the minimal acceptable return incur risk. One has to distinguish between good and bad volatility. Good volatility is dispersion above the minimal acceptable return, the farther above the minimal acceptable return, the better it is. One way of measuring downside risk is to consider the shortfall probability or chances of falling below the minimal acceptable return. Another possibility is measuring downside variance, i.e. variance of the returns falling below the minimal acceptable return. As a consequence, downside variance is very sensitive to the estimate of the mean of the return function, while standard deviation does not suffer from this problem. Thus the calculation of downside deviation is more difficult than the calculation of standard deviation. The quality of the calculation also depends on the choice of differencing interval of the time series. The calculation of downside risk assumes that financial time series follow either a normal or lognormal distribution. Finally, there is no universal risk measure for the many broad categories of risk. For example, standard deviation captures the risk of not achieving the mean, beta captures the risk of investing [...]

Download or read book Managing Downside Risk in Financial Markets written by Frank A. Sortino and published by Butterworth-Heinemann. This book was released on 2001-10-02 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methods have revolutionized the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking to name but some of the applications. Downside-risk, as a quantitative method, is an accurate measurement of investment risk, because it captures the risk of not accomplishing the investor's goal. 'Downside Risk in Financial Markets' demonstrates how downside-risk can produce better results in performance measurement and asset allocation than variance modelling. Theory, as well as the practical issues involved in its implementation, is covered and the arguments put forward emphatically show the superiority of downside risk models to variance models in terms of risk measurement and decision making. Variance considers all uncertainty to be risky. Downside-risk only considers returns below that needed to accomplish the investor's goal, to be risky. Risk is one of the biggest issues facing the financial markets today. 'Downside Risk in Financial Markets' outlines the major issues for Investment Managers and focuses on "downside-risk" as a key activity in managing risk in investment/portfolio management. Managing risk is now THE paramount topic within the financial sector and recurring losses through the 1990s has shocked financial institutions into placing much greater emphasis on risk management and control. Free Software Enclosed To help you implement the knowledge you will gain from reading this book, a CD is enclosed that contains free software programs that were previously only available to institutional investors under special licensing agreement to The pension Research Institute. This is our contribution to the advancement of professionalism in portfolio management. The Forsey-Sortino model is an executable program that: 1. Runs on any PC without the need of any additional software. 2. Uses the bootstrap procedure developed by Dr. Bradley Effron at Stanford University to uncover what could have happened, instead of relying only on what did happen in the past. This is the best procedure we know of for describing the nature of uncertainty in financial markets. 3. Fits a three parameter lognormal distribution to the bootstrapped data to allow downside risk to be calculated from a continuous distribution. This improves the efficacy of the downside risk estimates. 4. Calculates upside potential and downside risk from monthly returns on any portfolio manager. 5. Calculates upside potential and downside risk from any user defined distribution. Forsey-Sortino Source Code: 1. The source code, written in Visual Basic 5.0, is provided for institutional investors who want to add these calculations to their existing financial services. 2. No royalties are required for this source code, providing institutions inform clients of the source of these calculations. A growing number of services are now calculating downside risk in a manner that we are not comfortable with. Therefore, we want investors to know when downside risk and upside potential are calculated in accordance with the methodology described in this book. Riddles Spreadsheet: 1. Neil Riddles, former Senior Vice President and Director of Performance Analysis at Templeton Global Advisors, now COO at Hansberger Global Advisors Inc., offers a free spreadsheet in excel format. 2. The spreadsheet calculates downside risk and upside potential relative to the returns on an index Brings together a range of relevant material, not currently available in a single volume source. Provides practical information on how financial organisations can use downside risk techniques and technological developments to effectively manage risk in their portfolio management. Provides a rigorous theoretical underpinning for the use of downside risk techniques. This is important for the long-run acceptance of the methodology, since such arguments justify consultant's recommendations to pension funds and other plan sponsors.

Download or read book Managing Downside Risk in Financial Markets written by Frank A. Sortino and published by Elsevier. This book was released on 2001-09-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methods have revolutionized the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking to name but some of the applications. Downside-risk, as a quantitative method, is an accurate measurement of investment risk, because it captures the risk of not accomplishing the investor's goal.'Downside Risk in Financial Markets' demonstrates how downside-risk can produce better results in performance measurement and asset allocation than variance modelling. Theory, as well as the practical issues involved in its implementation, is covered and the arguments put forward emphatically show the superiority of downside risk models to variance models in terms of risk measurement and decision making. Variance considers all uncertainty to be risky. Downside-risk only considers returns below that needed to accomplish the investor's goal, to be risky.Risk is one of the biggest issues facing the financial markets today. 'Downside Risk in Financial Markets' outlines the major issues for Investment Managers and focuses on "downside-risk" as a key activity in managing risk in investment/portfolio management. Managing risk is now THE paramount topic within the financial sector and recurring losses through the 1990s has shocked financial institutions into placing much greater emphasis on risk management and control.Free Software Enclosed To help you implement the knowledge you will gain from reading this book, a CD is enclosed that contains free software programs that were previously only available to institutional investors under special licensing agreement to The pension Research Institute. This is our contribution to the advancement of professionalism in portfolio management.The Forsey-Sortino model is an executable program that:1. Runs on any PC without the need of any additional software.2. Uses the bootstrap procedure developed by Dr. Bradley Effron at Stanford University to uncover what could have happened, instead of relying only on what did happen in the past. This is the best procedure we know of for describing the nature of uncertainty in financial markets. 3. Fits a three parameter lognormal distribution to the bootstrapped data to allow downside risk to be calculated from a continuous distribution. This improves the efficacy of the downside risk estimates.4. Calculates upside potential and downside risk from monthly returns on any portfolio manager. 5. Calculates upside potential and downside risk from any user defined distribution.Forsey-Sortino Source Code:1. The source code, written in Visual Basic 5.0, is provided for institutional investors who want to add these calculations to their existing financial services. 2. No royalties are required for this source code, providing institutions inform clients of the source of these calculations. A growing number of services are now calculating downside risk in a manner that we are not comfortable with. Therefore, we want investors to know when downside risk and upside potential are calculated in accordance with the methodology described in this book. Riddles Spreadsheet:1. Neil Riddles, former Senior Vice President and Director of Performance Analysis at Templeton Global Advisors, now COO at Hansberger Global Advisors Inc., offers a free spreadsheet in excel format.2. The spreadsheet calculates downside risk and upside potential relative to the returns on an index

Download or read book Practical Portfolio Performance Measurement and Attribution written by Carl R. Bacon and published by John Wiley & Sons. This book was released on 2023-01-18 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practitioner's guide to the role and implications of performance measurement and attribution analysis in asset management firms Practical Portfolio Performance Measurement and Attribution is a comprehensive reference and guide to the use and calculation of performance returns in the investment decision process. Focusing on real-world application rather than academic theory, this highly practical book helps asset managers and investors determine return on assets, analyse portfolio behaviour and improve performance. Author Carl R. Bacon clearly describes each of the methodologies used by performance analysts in today's financial environment whilst sharing valuable insights drawn from his experience as a Director of Performance Measurement & Risk Control. The third edition is revised to reflect recent developments in performance attribution and presentation standards. Fully up-to-date chapters cover the entire performance measurement process, including return calculations, attribution methodologies, risk measures, manager selection and presentation of performance information. Written by an acknowledged leader in global investment performance standards, performance attribution technique and risk measurement Aligns with the publication of the 2020 Global Investment Performance Standards (GIPS®) Explains the mathematical aspects of performance measurement and attribution in a clear, easy-to-understand manner Provides numerous practical and worked examples of attribution analysis and risk calculations supported by Excel spreadsheets Includes signposts for the future development of performance measurement Practical Portfolio Performance Measurement and Attribution, Third Edition, remains a must-have for performance analysts and risk controllers, portfolio managers, compliance professionals and all asset managers, owners, consultants and servicing firms.

Download or read book Market Risk Analysis Boxset written by Carol Alexander and published by John Wiley & Sons. This book was released on 2009-02-24 with total page 1691 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market Risk Analysis is the most comprehensive, rigorous and detailed resource available on market risk analysis. Written as a series of four interlinked volumes each title is self-contained, although numerous cross-references to other volumes enable readers to obtain further background knowledge and information about financial applications. Volume I: Quantitative Methods in Finance covers the essential mathematical and financial background for subsequent volumes. Although many readers will already be familiar with this material, few competing texts contain such a complete and pedagogical exposition of all the basic quantitative concepts required for market risk analysis. There are six comprehensive chapters covering all the calculus, linear algebra, probability and statistics, numerical methods and portfolio mathematics that are necessary for market risk analysis. This is an ideal background text for a Masters course in finance. Volume II: Practical Financial Econometrics provides a detailed understanding of financial econometrics, with applications to asset pricing and fund management as well as to market risk analysis. It covers equity factor models, including a detailed analysis of the Barra model and tracking error, principal component analysis, volatility and correlation, GARCH, cointegration, copulas, Markov switching, quantile regression, discrete choice models, non-linear regression, forecasting and model evaluation. Volume III: Pricing, Hedging and Trading Financial Instruments has five very long chapters on the pricing, hedging and trading of bonds and swaps, futures and forwards, options and volatility as well detailed descriptions of mapping portfolios of these financial instruments to their risk factors. There are numerous examples, all coded in interactive Excel spreadsheets, including many pricing formulae for exotic options but excluding the calibration of stochastic volatility models, for which Matlab code is provided. The chapters on options and volatility together constitute 50% of the book, the slightly longer chapter on volatility concentrating on the dynamic properties the two volatility surfaces the implied and the local volatility surfaces that accompany an option pricing model, with particular reference to hedging. Volume IV: Value at Risk Models builds on the three previous volumes to provide by far the most comprehensive and detailed treatment of market VaR models that is currently available in any textbook. The exposition starts at an elementary level but, as in all the other volumes, the pedagogical approach accompanied by numerous interactive Excel spreadsheets allows readers to experience the application of parametric linear, historical simulation and Monte Carlo VaR models to increasingly complex portfolios. Starting with simple positions, after a few chapters we apply value-at-risk models to interest rate sensitive portfolios, large international securities portfolios, commodity futures, path dependent options and much else. This rigorous treatment includes many new results and applications to regulatory and economic capital allocation, measurement of VaR model risk and stress testing.

Download or read book Market Risk Analysis Quantitative Methods in Finance written by Carol Alexander and published by John Wiley & Sons. This book was released on 2008-04-30 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand. Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary. Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management. Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Principal component analysis of European equity indices; Calibration of Student t distribution by maximum likelihood; Orthogonal regression and estimation of equity factor models; Simulations of geometric Brownian motion, and of correlated Student t variables; Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula; Cubic spline fitting of yields curves and implied volatilities; Solution of Markowitz problem with no short sales and other constraints; Calculation of risk adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.

Download or read book Investment Risk Management written by Harold Kent Baker and published by Oxford University Press, USA. This book was released on 2015 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investment Risk Management provides an overview of developments in risk management and a synthesis of research on the subject. The chapters examine ways to alter exposures through measuring and managing risk exposures and provide an understanding of the latest strategies and trends within risk management.

Download or read book ACRN Proceedings in Finance and Risk Series 13 written by Dr. Othmar M. Lehner and published by ACRN Publishing House. This book was released on 2014-03-06 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 14th FRAP Finance, Risk and Accounting Perspectives conference taking place in Cambridge UK.

Download or read book Computational Finance 1999 written by Yaser S. Abu-Mostafa and published by MIT Press. This book was released on 2000 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. These methods are applied to a wide range of problems in finance, including risk management, asset allocation, style analysis, dynamic trading and hedging, forecasting, and option pricing. The book is based on the sixth annual international conference Computational Finance 1999, held at New York University's Stern School of Business.

Download or read book Hedge Fund Modelling and Analysis written by Paul Darbyshire and published by John Wiley & Sons. This book was released on 2016-12-19 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use powerful C++ algorithms and Object Oriented Programming (OOP) to aid in hedge fund decision making Low interest rates, overcrowded markets and greater regulatory oversight are just some of the many reasons it is close to impossible for hedge funds to draw competitive returns. The solution for many hedge fund managers, quantitative investment analysts and risk managers is to adopt new technologies, platforms and programming languages to better manage their risks and maximise the benefits of their return profiles. Hedge Fund Modelling and Analysis is a full course in the latest analytic strategies for hedge fund investing, complete with a one-of-a-kind primer on both C++ and object oriented programming (OOP). Covering both basic and risk-adjusted performance measures, this practitioner's guide enables you to manage risk easily and make the most of key statistics with simple and advanced analysis techniques. This highly anticipated third book in the widely used Hedge Fund Modelling and Analysis series is the only guide available for applying the powerful C++ language to revolutionise hedge fund trading. Even if you've never worked with code before, the focused overview of C++ gives you everything you need to navigate the technical aspects of object oriented programming, which enables you to build sophisticated analysis programs from small units of reusable code. This book is your breakthrough introduction to winning with hedge funds in the new reality of trading. Jumpstart your new approach to beating the markets with: All the guidance and hands-on support you need to use quantitative strategies to optimise hedge fund decision-making. Illustrative modelling exercises and worked-out problems demonstrating what to expect when assessing risk and return factors in the real world. A companion website offering additional C++ programs, algorithms and data to download. Make reading Hedge Fund Modelling and Analysis your new routine and gain all the insight and relevant information you need to beat the markets.

Download or read book Hedge Fund Modelling and Analysis using MATLAB written by Paul Darbyshire and published by John Wiley & Sons. This book was released on 2014-03-27 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second book in Darbyshire and Hampton’s Hedge Fund Modelling and Analysis series, Hedge Fund Modelling and Analysis Using MATLAB® takes advantage of the huge library of built-in functions and suite of financial and analytic packages available to MATLAB®. This allows for a more detailed analysis of some of the more computationally intensive and advanced topics, such as hedge fund classification, performance measurement and mean-variance optimisation. Darbyshire and Hampton’s first book in the series, Hedge Fund Modelling and Analysis Using Excel & and VBA, is seen as a valuable supplementary text to this book. Starting with an overview of the hedge fund industry the book then looks at a variety of commercially available hedge fund data sources. After covering key statistical techniques and methods, the book discusses mean-variance optimisation, hedge fund classification and performance with an emphasis on risk-adjusted return metrics. Finally, common hedge fund market risk management techniques, such as traditional Value-at-Risk methods, modified extensions and expected shortfall are covered. The book’s dedicated website, www.darbyshirehampton.com provides free downloads of all the data and MATLAB® source code, as well as other useful resources. Hedge Fund Modelling and Analysis Using MATLAB® serves as a definitive introductory guide to hedge fund modelling and analysis and will provide investors, industry practitioners and students alike with a useful range of tools and techniques for analysing and estimating alpha and beta sources of return, performing manager ranking and market risk management.

Download or read book The Complete Guide to Portfolio Performance written by Georges Hubner and published by John Wiley & Sons. This book was released on 2024-06-04 with total page 1095 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intuitive and effective desk reference for performance measurement in asset and wealth management In The Complete Guide to Portfolio Performance: Appraise, Analyse, Act, a team of finance professors with extended practical experience deliver a hands-on desk reference for asset and wealth managers suitable for everyday use. Intuitively organized and full of concrete examples of the real-world implementation of the concepts discussed within, the book provides a comprehensive coverage of all important portfolio performance matters across 18 chapters of actionable and clearly described content. The authors have provided relevant cross-referencing where appropriate, “Key Takeaways and Equations” sections at the end of each chapter, and pointers to additional resources for anyone interested in pursuing further research. You'll also find: Discussions of more than a hundred classical and modern performance measures organized logically and with a focus on their applications Strategies for selecting appropriate performance measures based on your situation as a manager or investor Explanations of analytical techniques (statistical approaches, attribution, fund ratings...) enabling a comprehensive use of performance-related information Applications of portfolio performance criteria in concrete investment decision-making processes Highly actionable and logically organized material that's easy to find at a moment's notice A full set of pedagogical powerpoint slides and excel worksheets with all data and formulas Perfect for investors, portfolio managers, advisors, analysts, and regulators, The Complete Guide to Portfolio Performance is also a must-read reference for students and practitioners of asset and wealth management, as well as those pursuing certification such as CFA, CIPM, CIIA, and CAIA.

Download or read book New Drivers of Performance in a Changing World written by A. Carretta and published by Springer. This book was released on 2008-11-12 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a financial revolution, new determinants of performance arise and interest in the way performance is measured and communicated to stakeholders grows. This book presents a wide and accurate analysis of the impact that regulation, structural changes and new financial products have on the performance of markets and intermediaries.

Download or read book Advances In Quantitative Analysis Of Finance And Accounting New Series written by Cheng Few Lee and published by World Scientific. This book was released on 2004-04-06 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: News Professor Cheng-Few Lee ranks #1 based on his publications in the 26 core finance journals, and #163 based on publications in the 7 leading finance journals (Source: Most Prolific Authors in the Finance Literature: 1959-2008 by Jean L Heck and Philip L Cooley (Saint Joseph's University and Trinity University). Advances in Quantitative Analysis of Finance and Accounting, New Series (AQAFANS) is a continuation (with new features) of the similarly titled book series that was previously published by JAI Press from 1991. AQAFANS is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. It is a forum for statistical and quantitative analyses of issues in finance and accounting, as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting, applied research in the financial community, and the accounting profession.