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th This book is devoted to the 19 Meeting of the EURO Working Group on Financial Modelling, held in Chania, Crete, Greece,November28-30, 1996. The EURO Working Group on Financial Modelling was founded in September 1986 in Lisbon. The primary field of interest for the Working Group can be described as "the development of financial models that help to solve problems facedby financial managers in the firm". From this point of view, the following objectivesof the Working Group are distinguished: • providing an international forum for exchange of information and experience on financial modelling; • encouraging research in financial modelling (i. e. new techniques, methodologies, software,empirical studies,etc. ); • stimulating and strengthening the interaction between financial economic theory and the practice of financial decision making; • cooperating and exchanging information with universities and financial institutions throughout Europe. According to the aboveobjectives,the basic aim of this book 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. Thus, the present volume is divided in nine chapters. The first chapter refers to the new trends in financial modelling and includes two invited papers by Gil-Aluja and Pardalos. The second chapter involves papers on the topic of high performance computing and finance which is a European union project in which participate some members of the EURO Working Group on Financial Modelling (Spronk, Zenios, Dempster, etc. ).
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 book on Applied Operations Research and Financial Modelling in Energy (AORFME) presents several applications of operations research (OR) and financial modelling. The contributions by a group of OR and Finance researchers focus on a variety of energy decisions, presenting a quantitative perspective, and providing policy implications of the proposed or applied methodologies. The content is divided into three main parts: Applied OR I: Optimization Approaches, Applied OR II: Forecasting Approaches and Financial Modelling: Impacts of Energy Policies and Developments in Energy Markets. The book appeals to scholars in economics, finance and operations research, and to practitioners working in the energy sector. This is the eighth volume in a series of books on energy organized by the Centre for Energy and Value Issues (CEVI). For this volume, CEVI collaborated with Hacettepe University’s Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, Finance and Geostrategy (2018), and Financial Implications of Regulations in the Energy Industry (2020).
This book contains a few of the critical financial management tools and lessons that entrepreneurs, investors and financial professionals need to succeed when doing business in developing markets.⟨br⟩Since moving to Addis Ababa in 2014, I have worked as an investor, advisor and owner-operator in Ethiopia, one of the world''s most exciting developing markets. I now co-manage Ethiopia Investments Ltd., a permanent capital investment vehicle focused on Ethiopia, and serve as General Manager for EQOS Global, Ethiopia''s first dedicated business process outsourcing (BPO) company.⟨br⟩This book has five chapters:* Chapter 1 - My Path to Ethiopia, One of the World''s Most Exciting Developing Markets* Chapter 2 - Why Financial Management Matters More in Developing Markets* Chapter 3 - The Forecast Financial Model* Chapter 4 - Sensitivity Analysis and Other Key Analyses* Chapter 5 - Final Advice for Entrepreneurs in Developing Markets⟨br⟩Chapter 2 walks through issues that are unique to the business environments of developing markets and how they are different than issues faced by companies in more developed markets: * Handling currency devaluations, * Setting dynamic pricing strategies* Managing the treasury function between home and base currencies* Understanding burn-rate* Planning for inflation shocks* Managing net working capital defensively* Forecasting raw materials needs* Planning for supply chain shocks* Forecasting market demands* Planning for flexible tax impacts* And many more...⟨br⟩Chapter 3 includes a detailed walk-through of a Microsoft Excel-based financial model that considers treatment of the issues discussed in Chapter 2.⟨br⟩Chapter 4 makes use of the Microsoft Excel-based financial model to give you greater control and understanding over the variables that impact your business. This chapter will help you answer questions like, "How does the change in the price of my products on the export market impact my cash burn-rate in my home market?" or "How would a large currency devaluation impact the price that an investor would pay for a stake of equity in my business?"⟨br⟩Finally, Chapter 5 includes advice for entrepreneurs, both local and expat, thinking about what it would take to set-up shop in a developing market. ⟨br⟩I wrote this book with the following six audiences in mind:* Entrepreneurs - This book is for entrepreneurs in developing markets who are either in the process of setting up a new business or considering it. A developing entrepreneur can be either a local entrepreneur or an immigrant (expat) entrepreneur and the advice in this book will be helpful no matter where you are from.* Investors - This book is for investors who are focused on developing markets and hoping to understand how the approach that works in more developed markets may look completely different for developing markets. * Financial professionals - This book is also for financial professionals such as CFOs, Finance Managers and Financial Analysts looking to understand how business practices in developing economies differ from more developed markets. * Investment Advisors - This book is also for investment advisors building advisory practices in developing countries who are hoping to bridge the gap between developing and developed markets.* Students - This book is also for students, both formal and informal, looking to learn more about business in developing countries. * Professionals - Finally, this book is for professionals interested in learning more about doing business in developing countries. ⟨br⟩This is the book that I wish I had when left my investment banking job and got on the plane from San Francisco to Addis Ababa in January 2014. Every lesson in this book has been learned by my team and me, sometimes painfully, and I hope that you find it to be helpful for you as you take on similar challenges, no matter where you are trying to operate.
Financial modeling is essential for determining a company's current value and projecting its future performance, yet few books explain how to build models for accurately interpreting financial statements. Building Financial Models is the first book to correct this oversight, unveiling a step-by-step process for creating a core model and then customizing it for companies in virtually any industry. Covering every aspect of building a financial model, it provides a broad understanding of the actual mechanics of models, as well as their foundational accounting and finance concepts.
This book contains a selection of the papers presented at the 24th Meeting of the Euro Working Group on Financial Modelling held in Valencia, Spain, on April 8-10, 1.999. The Meeting took place in the Bancaja Cultural Center, a nice palace of the XIX century, located in the center of the city. Traditionally, members of the Euro Working Group on Financial Mod elling meet twice a year, hosted by different active groups in successions. The year 1999 was very special for us because the University of Valencia celebrates its fifth century. The Meeting was very well attended and of high quality. More than 90 participants, coming from 20 different countries debated 46 communications in regular sessions. The opening lecture was given by Prof. H. White, from the University of California, San Diego. The topics discussed were classified in nine sessions: Financial Theory, Financial Time Series, Risk Analysis, Portfolio Analysis, Financial Institu tions, Microstructures Market and Corporate Finance, Methods in Finance, Models in Finance and Derivatives. The papers collected in this volume provide a representative but not com plete sample of the fields where the members of the working group develop their scientific activity. The papers are a sample of this activity, and consist of theoretical papers as well as empirical ones.
This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems arising in global financial and commodity markets from the perspective of Operations Research and Management Science. The book is structured in three parts, emphasizing common methodological approaches arising in the areas of interest: - Part I: Optimization techniques - Part II: Pricing and Valuation - Part III: Risk Modeling The book presents to a wide community of Academics and Practitioners a selection of theoretical and applied contributions on topics that have recently attracted increasing interest in commodity and financial markets. Within a structure based on the three parts, it presents recent state-of-the-art and original works related to: - The adoption of multi-criteria and dynamic optimization approaches in financial and insurance markets in presence of market stress and growing systemic risk; - Decision paradigms, based on behavioral finance or factor-based, or more classical stochastic optimization techniques, applied to portfolio selection problems including new asset classes such as alternative investments; - Risk measurement methodologies, including model risk assessment, recently applied to energy spot and future markets and new risk measures recently proposed to evaluate risk-reward trade-offs in global financial and commodity markets; and derivatives portfolio hedging and pricing methods recently put forward in the financial community in the aftermath of the global financial crisis.
Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.
This book presents a set of new, innovative mathematical modeling tools for analyzing financial risk. Operational Tools in the Management of Financial Risks presents an array of new tools drawn from a variety of research areas, including chaos theory, expert systems, fuzzy sets, neural nets, risk analysis, stochastic programming, and multicriteria decision making. Applications cover, but are not limited to, bankruptcy, credit granting, capital budgeting, corporate performance and viability, portfolio selection/management, and country risk. The book is organized into five sections. The first section applies multivariate data and multicriteria analyses to the problem of portfolio selection. Articles in this section combine classical approaches with newer methods. The second section expands the analysis in the first section to a variety of financial problems: business failure, corporate performance and viability, bankruptcy, etc. The third section examines the mathematical programming techniques including linear, dynamic, and stochastic programming to portfolio managements. The fourth section introduces fuzzy set and artificial intelligence techniques to selected types of financial decisions. The final section explores the contribution of several multicriteria methodologies in the assessment of country financial risk. In total, this book is a systematic examination of an emerging methodology for managing financial risk in business.
A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify the consequences of their decisions before they are put into practice. Introduction to Financial Models for Management and Planning, Second Edition enables professionals and students to learn how to develop and use computer-based models for financial planning. This volume provides critical tools for the financial toolbox, then shows how to use them tools to build successful models.