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This book is devoted to the 19th Meeting of the EURO Working Group on Financial Modelling. Its basic aim is to present some new operational approaches (i.e. neural nets, multicriteria analysis, new optimization algorithms, decision software, etc.) for financial modelling, both in a theoretical and practical levels.
This volume brings together a variety of issues, methods and market instruments that should prove useful for topics courses, finance and asset management practice, and also foster future research. This collection of contributions is a selected subset of those presented at the XLI Meeting of the EURO Working Group on Financial Modelling, Lisbon, November 2007, and has a rich manifold of applied, theoretical and methodological work: • Banking, empirical assessment of efficiency and relationship banking; • Corporate Governance; • Market Microstructure: liquidity; price limits; volatility; • Risk: sovereign debt rating; volatility-volume around takeover announcements; • Multicriteria approach and portfolio selection; • Modified Tempered Stable Distribution and GARCH modelling. In sum, this contributed volume, joining many authors from academia and practice on finance, offers a multiplicity of issues and methodology that broadens the knowledge and skills in finance matters and raises research questions for further development.
Practical Financial Modelling, 3e is a book on model development and model assurance. It enhances the modelling process by emphasizing controls and checks for accuracy and reliability. New content on validation and verification, model use and sensitivity analysis is presented alongside a modelling methodology that underpins the various proprietary standards used in financial modelling today. It provides more details than other books and yet is general enough for applying its methodology to many applications. This book isn't just about the details of building cash flow models, it's about building better cash flow models. - This new edition increases the number of worked examples and introduces new material on the audit sheet and audit workbook methodologies, and the delta sheet approach to sensitivity analysis - It provides the developer with a toolkit of modelling techniques and a framework of error controls to reduce the risk of spreadsheet error - The methodology and structure conforms with the modelling principles defined by the Institute of Chartered Accountants of England and Wales; and the model assurance processes ensure compliance with the UK public sector Macpherson Report and regulatory requirements such as Sarbanes-Oxley
In today’s financial market, portfolio and risk management are facing an array of challenges. This is due to increasing levels of knowledge and data that are being made available that have caused a multitude of different investment models to be explored and implemented. Professionals and researchers in this field are in need of up-to-date research that analyzes these contemporary models of practice and keeps pace with the advancements being made within financial risk modelling and portfolio control. Recent Applications of Financial Risk Modelling and Portfolio Management is a pivotal reference source that provides vital research on the use of modern data analysis as well as quantitative methods for developing successful portfolio and risk management techniques. While highlighting topics such as credit scoring, investment strategies, and budgeting, this publication explores diverse models for achieving investment goals as well as improving upon traditional financial modelling methods. This book is ideally designed for researchers, financial analysts, executives, practitioners, policymakers, academicians, and students seeking current research on contemporary risk management strategies in the financial sector.
Foundations of Real Estate Financial Modelling is specifically designed to provide an overview of pro forma modelling for real estate projects. The book introduces students and professionals to the basics of real estate finance theory before providing a step-by-step guide for financial model construction using Excel. The idea that real estate is an asset with unique characteristics which can be transformed, both physically and financially, forms the basis of discussion. Individual chapters are separated by functional unit and build upon themselves to include information on: Amortization Single-Family Unit Multi-Family Unit Development/Construction Addition(s) Waterfall (Equity Bifurcation) Accounting Statements Additional Asset Classes Further chapters are dedicated to risk quantification and include scenario, stochastic and Monte Carlo simulations, waterfalls and securitized products. This book is the ideal companion to core real estate finance textbooks and will boost students Excel modelling skills before they enter the workplace. The book provides individuals with a step-by-step instruction on how to construct a real estate financial model that is both scalable and modular. A companion website provides the pro forma models to give readers a basic financial model for each asset class as well as methods to quantify performance and understand how and why each model is constructed and the best practices for repositioning these assets.
I used to love Kinder Surprise as a kid, and now opening up someone else's financial model gives me the same sensation. Unnecessarily complex models are like those gifts that require an engineering background to assemble; the overly simplified models are like the readily assembled figurine of dinosaurs that end up in the trash right away, and good financial models are like those gifts that you still keep inyour secret shoe box.Within the pages of this financial modeling manual, you will find hints and tricks on how to conduct a preliminary review of a financial model and decide as early as possible whether you want to work with the inherited model or build your own model instead.
This book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes. It shows how to put these models into use in production while minimizing the cost of implementation and maximizing robustness and control. Addressing some of the most important and cutting-edge issues, it describes how to build the necessary models in order to risk manage all the costs involved in options fabrication within the world of equity derivatives and hybrids. This is achieved by extending classical models and improving them in order to account for complex features. The book is primarily aimed at market practitioners (traders, risk managers, risk control, top managers), as well as Masters students in Quantitative/Mathematical Finance. It will also be useful for instructors hoping to enrich their courses with practical examples. The prerequisites are basic stochastic calculus and a general knowledge of financial markets and financial derivatives.
A proven guide to building financial models from scratch The Second Edition of Building Financial Models with Microsoft Excel + CD-ROM provides beginning and intermediate level computer users with step-by-step instructions on building financial models using Microsoft Excel 2007-the most popular spreadsheet program available. The accompanying CD-ROM contains Excel worksheets that track the course of the book and allow you to build your own financial models. This comprehensive resource also covers important topics such as the concepts of valuation, sensitivity analysis, and contribution margin. Offers accessible guidance on building financial models using Excel 2007 Illustrates how to integrate financial statements such as the balance sheet, income statement, and statement of cash flows Covers the basics of building and using a Capitalization Table Discusses how to best present a financial model Incorporating financial models into business decisions has become an essential element of good business practice, and this book will show you how to excel at this endeavor.
A number of methodologies have been employed to provide decision making solutions globalized markets. Hidden Markov Models in Finance offers the first systematic application of these methods to specialized financial problems: option pricing, credit risk modeling, volatility estimation and more. The book provides tools for sorting through turbulence, volatility, emotion, chaotic events – the random "noise" of financial markets – to analyze core components.
Financial Modelling for Project Finance, 2nd edition is accompanied by supporting spreadsheets illustrating the methods explained and providing an example solution to the exercises.