Principles of financial modelling - Info and Reading Options
model design and best practices using Excel and VBA
By Michael Rees
"Principles of financial modelling" was published in 2018 - enk, it has 512 pages and the language of the book is English.
“Principles of financial modelling” Metadata:
- Title: ➤ Principles of financial modelling
- Author: Michael Rees
- Language: English
- Number of Pages: 512
- Publish Date: 2018
- Publish Location: enk
“Principles of financial modelling” Subjects and Themes:
- Subjects: ➤ Finance - Mathematical models - Microsoft Excel (Computer file) - Visual Basic for Applications (Computer program language) - Corporations - Microsoft Office - Finance, mathematical models
Edition Specifications:
- Pagination: xxix, 512 pages
Edition Identifiers:
- The Open Library ID: OL26964833M - OL19751786W
- Online Computer Library Center (OCLC) ID: 1028606768
- Library of Congress Control Number (LCCN): 2017057631
- ISBN-13: 9781118904015
- ISBN-10: 111890401X
- All ISBNs: 111890401X - 9781118904015
AI-generated Review of “Principles of financial modelling”:
"Principles of financial modelling" Table Of Contents:
- 1- Introduction to modelling, core themes and best practices
- 2- Models of models
- 3- Using models in decision support
- 4- Core competencies and best practices : meta-themes
- 5- Model design and planning
- 6- Defining sensitivity and flexibility requirements
- 7- Database versus formulae-driven approaches
- 8- Designing the workbook structure
- 9- Model building, testing and auditing
- 10- Creating transparency: formula structure, flow and format
- 11- Building robust and transparent formulae
- 12- Choosing Excel functions for transparency, flexibility and efficiency
- 13- Dealing with circularity
- 14- Model review, auditing and validation
- 15- Sensitivity and scenario analysis, simulation and optimisation
- 16- Sensitivity and scenario analysis : core techniques
- 17- Using Goalseek and Solver
- 18- Using VBA macros to conduct sensitivity and scenario analyses
- 19- Introduction to simulation and optimisation
- 20- The modelling of risk and uncertainty, and using simulation
- 21- Excel functions and functionality
- 22- Core arithmetic and logical functions
- 23- Array functions and formulae
- 24- Mathematical functions
- 25- Financial functions
- 26- Statistical functions
- 27- Information functions
- 28- Date and time functions
- 29- Text functions and functionality
- 30- Lookup and reference functions
- 31- Filters, database functions and pivottables
- 32- Selected short-cuts and other features
- 33- Foundations of VBA and macros
- 34- Getting started
- 35- Working with objects and ranges
- 36- Controlling execution
- 37- Writing robust code
- 38- Manipulation and analysis of data sets with VBA
- 39- User-defined functions.
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