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Written by Richard Tinsley, author the best-selling self-study guide Project Finance. Underpinning this book’s many revealing case studies is an identification of the major risks in project finance. The reader is then presented with 214 real-world case studies in which each choice of risk structure is explained and assessed. Interest areas: project finance, currency risk, credit risk, counterparty, joint venture documentation, emerging markets.

Introduction

“…The wealth of information will be appreciated by hardened industry professionals and by relative newcomers. Tinsley is to be congratulated on this outstanding work…” Michael W. Good, Managing Partner, Project Risk Advisors Ltd – London.

This book is an indispensable guide to the risks encountered in a project financing. Written by Richard Tinsley, author of the best-selling self-study guide the book begins by identifying the key risks in project finance.

From this, the reader is presented with 214 real-world case studies in which each choice of risk structure is explained and assessed. Starting with a cashflow analysis, the book looks at the best structures and funding techniques to mitigate and avoid risk. Deal diagrams are used to illustrate the many alternative project finance structures that can be considered. Furthermore, allied financial measures are explained and demystified.

This book is an invaluable guide for the project finance practitioner, enabling them to dissect any project finance and find the appropriate risk structuring.

Interest areas: project finance, currency risk, credit risk, counterparty, joint venture documentation, emerging markets.

Table of Contents

Preface

Author biography

List of case studies

List of exhibits

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Let a seasoned project finance professional guide you through to pricing and negotiating a project finance deal with the model with this new workbook.Introduction:Let a seasoned project finance professional guide you through to pricing and negotiating a project finance deal with the model with this new workbook.

Learn to look at the financial modeling from a more critical point of view. This workbook features worked examples of building and analysing each step of the project finance model, so you completely understand the process.

Test your knowledge with 31 exercises. Each exercise has their own correlated answer page and review, and complete with CD Rom supported material.

This workbook provides you with :

• An overview on project finance, contracts, risks and their relationship with the model.

• A refresher on the essential model conventions, layouts, techniques and audits with a quick checklist to advanced use of Excel - become a mouseless user of Excel!

• A review of project economics, ratios, financial mathematics for tariff structures and their relationship with infrastructure cash flows – includes mechanics of

  • off-taker purchase;

  • capital recovery;

  • unit prices;

  • market fundamentals;

  • DCF;

  • NPV;

  • WACC;

  • CAPM;

  • and, IRR.

• Building the model:

  • assumptions;

  • construction;

  • insurance;

  • taxes;

  • depreciation;

  • financings;

  • income statements;

  • balance sheets;

  • cash flow;

  • retained earnings;

  • equity returns;

  • coverage ratios;

  • and, present values.

• Advanced analysis and negotiation techniques, including:

  • due diligence of analyzing the project’s ability to support interest rates and gearing;

  • downside, base, and upside cases;

  • use the model to price and negotiate the deal.

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Advanced Financial Analysis is a clear and concise guide to the analytical tools and complex financial instruments used in derivatives. This book provides a thorough training course in financial analysis from an explanation of the technical terms through to the complexities of the mathematical techniques of financial analysis. Interest areas: derivatives, financial mathematics, financial engineering, credit derivatives, equity derivatives.

Introduction

Advanced Financial Analysis
A clear and concise guide to the analytical tools and complex financial instruments used in derivatives. This book provides a thorough course in financial analysis from an explanation of the technical terms through to the complexities of the mathematical techniques of financial analysis.

Making extensive use of self-test exercises it ensures that the reader is left with a thorough grasp of:

off-balance sheet financing;

markets and the instruments which they fund;

deterministic modelling, from differential calculus to integration;

an introduction to probabilistic rules and models;

and hedging and the new measures.
Table of contents

Advanced Financial Analysis

Table of Contents

Module 1: Introduction to Off-Balance Sheet Financing
1 - The culture of off balance sheet operations
2 - The concept of derivative financial products
3 - The business of the financial analyst
4 - The overriding impact of market forces
5 - The influence of derivatives on markets and trades
6 - Regulation, the notional principal amount and fair value

Module 2: Markets and the Instruments Which They Fund
1 - Funding markets and their behaviour
2 - Options as derivative instruments
3 - Derivative contracts with futures and forwards
4 - The expanding world of swaps
5 - Handling interest-rate options, swaps and swaptions

Module 3: Understanding the Mathematics of Financial Analysis
1 - Mathematical analysis and prediction theory
2 - Demystifying the practice of modelling
3 - Visualising structures and functions through graphics and equations
4 - Scalars, vectors and matrices
5 - Methodology for linear and non-linear functions

Module 4: Tools of Financial Analysis from Differential Calculus to Integration
1 - An introduction to dynamic systems
2 - Difference equations and the notion of limits
3 - Basic processes of differential calculus
4 - Derivatives, minima, maxima, and their visualisation
5 - Understanding the process of integration

Module 5: Financial Statistics, Probabilistic Models and Fuzzy Engineering
1 - Introduction to statistical rules and concepts
2 - Basic measures of a statistical distribution
3 - The underlying principles of probability theory
4 - Higher up the chain of statistical tests
5 - Understanding and applying fuzzy engineering

Module 6: Hedging and the New Measures, Delta, Gamma, Theta, Kappa, Rho
1 - Strategies for hedging and the productivity of capital
2 - Living and working as the edge of chaos
3 - Delta as an important analytical tool and hedging instrument
4 - Gamma, theta, kappa and rho
5 - Capitalising on the many aspects of volatility
6 - Models of option pricing

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