Valuation for accountants: a short course based on IFRS

By: Material type: TextTextSeries: Springer texts in business and economicsPublication details: Springer Switzerland 2020Description: xv, 338 pISBN:
  • 9789811503597
Subject(s): DDC classification:
  • 658.1522 LYN
Summary: About this book This book focuses on the valuation needed to apply IFRS (International Financial Reporting Standards), and provides coverage of financial instruments – indeed this is the starting point of the exposition. The book adopts a logical sequence where models of financial instruments are explained first and models of other assets (such as property, an enterprise, or multiple intangibles) are presented as extensions.The book uses mathematical notation in presenting many of the models, but the focus is on application rather than proof. The mathematics is presented at a level that assumes sufficient background in high school algebra and coordinate geometry, prior knowledge of elementary probability, and a knowledge of basic statistics. Readers should also be aware of what linear regression does and should be able to run a regression and interpret the output. Calculus is not assumed.The models discussed almost always require a computer to apply. However, the emphasis is on understanding the models rather than learning computer skills, especially in the case of financial instruments.
List(s) this item appears in: Finance & Accounting | HR & OB
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About this book
This book focuses on the valuation needed to apply IFRS (International Financial Reporting Standards), and provides coverage of financial instruments – indeed this is the starting point of the exposition. The book adopts a logical sequence where models of financial instruments are explained first and models of other assets (such as property, an enterprise, or multiple intangibles) are presented as extensions.The book uses mathematical notation in presenting many of the models, but the focus is on application rather than proof. The mathematics is presented at a level that assumes sufficient background in high school algebra and coordinate geometry, prior knowledge of elementary probability, and a knowledge of basic statistics. Readers should also be aware of what linear regression does and should be able to run a regression and interpret the output. Calculus is not assumed.The models discussed almost always require a computer to apply. However, the emphasis is on understanding the models rather than learning computer skills, especially in the case of financial instruments.

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