Financial Forecasting, Analysis and Modelling: A Framework for Long-Term Forecasting
by Michael Samonas
Preface
Over the past several years, spreadsheet models have been the dominant vehicles for finance professionals to implement their financial knowledge. Moreover, in the aftermath of the recent financial crisis the need for experienced Financial Modelling professionals has steadily increased as organizations need to plan and adjust to the economic volatility and uncertainty. The level of risk in taking certain decisions needs to be projected using proper financial models and the alternative possible outcomes need to be analyzed. One benefit of this type of analysis is that it helps companies to be proactive instead of reactive. They can avoid or at least mitigate potential negative results that may stem from influences in their industry or within the business itself.
This book provides a step-by-step guide that takes the reader through the entire process of developing long-term projection plans using Excel. In addition, by making use of various tools (Excel's Scenario Manager, sensitivity analysis, and Monte Carlo simulation) it provides practical examples on how to apply risk and uncertainty to these projection plans. Although these projections are not guarantees they can help organizations to be better informed, and thereby provide peace of mind.
Financial Forecasting, Analysis and Modelling: A Framework for Long-Term Forecasting covers financial models in the area of financial statement simulation. It provides clear and concise explanations in each case for the implementation ...
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