Net Present Value and Risk Modelling for Projects

Business & Finance, Accounting, Budgeting, Financial, Management & Leadership, Management
Cover of the book Net Present Value and Risk Modelling for Projects by Martin Hopkinson, Taylor and Francis
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Martin Hopkinson ISBN: 9781351915250
Publisher: Taylor and Francis Publication: March 2, 2017
Imprint: Routledge Language: English
Author: Martin Hopkinson
ISBN: 9781351915250
Publisher: Taylor and Francis
Publication: March 2, 2017
Imprint: Routledge
Language: English

The Net Present Value (NPV) forecast lies at the heart of the business case on many projects. Martin Hopkinson's guide explains when, why and how NPV models should be built for projects and how this approach can be integrated with the risk management process.

NPV models tend to be used during the earliest phases of a project as the business case is being developed. Typically, these are the stages when uncertainty is at its highest and when the opportunities to influence the project's plan are at their greatest. This book shows how project financial forecasting and risk management principles can be used to both improve NPV forecasts and to shape the project solution into one that is risk-robust.

The text is sufficiently broad to be practicable for first-time users to employ the methods described. But it also contains insights into the process that are likely to be new to the majority of experienced practitioners. All users should find that the models used in this book will help to provide useful templates for exploiting the techniques that are used.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The Net Present Value (NPV) forecast lies at the heart of the business case on many projects. Martin Hopkinson's guide explains when, why and how NPV models should be built for projects and how this approach can be integrated with the risk management process.

NPV models tend to be used during the earliest phases of a project as the business case is being developed. Typically, these are the stages when uncertainty is at its highest and when the opportunities to influence the project's plan are at their greatest. This book shows how project financial forecasting and risk management principles can be used to both improve NPV forecasts and to shape the project solution into one that is risk-robust.

The text is sufficiently broad to be practicable for first-time users to employ the methods described. But it also contains insights into the process that are likely to be new to the majority of experienced practitioners. All users should find that the models used in this book will help to provide useful templates for exploiting the techniques that are used.

More books from Taylor and Francis

Cover of the book The Ethics and Aesthetics of Vulnerability in Contemporary British Fiction by Martin Hopkinson
Cover of the book Later Derrida by Martin Hopkinson
Cover of the book Popular Protest in East Germany by Martin Hopkinson
Cover of the book Raising the Stakes by Martin Hopkinson
Cover of the book The Half-Alive Ones by Martin Hopkinson
Cover of the book The New Behaviorism by Martin Hopkinson
Cover of the book HIMSS Dictionary of Health Information Technology Terms, Acronyms, and Organizations by Martin Hopkinson
Cover of the book Intercultural Postgraduate Supervision by Martin Hopkinson
Cover of the book Money's Fiscal Dictionary by Martin Hopkinson
Cover of the book Cash Flow Reporting (RLE Accounting) by Martin Hopkinson
Cover of the book The Intellectual Roots of India’s Freedom Struggle (1893-1918) by Martin Hopkinson
Cover of the book Advaita Epistemology and Metaphysics by Martin Hopkinson
Cover of the book Visible Mind by Martin Hopkinson
Cover of the book Dramatizing Time in Twentieth-Century Fiction by Martin Hopkinson
Cover of the book Teaching Music Musically (Classic Edition) by Martin Hopkinson
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy