Real Estate Financial Modelling in Excel by Maria Wiedner

Real Estate Financial Modelling in Excel by Maria Wiedner

Regular price
Checking stock...
Regular price
Checking stock...
Summary

Get ahead of your peers with Real Estate Financial Modelling in Excel, a book specifically designed to ensure that the next generation of property professionals become experts in the quantitative analysis of real estate investments.

The feel-good place to buy books
  • Free US shipping over $15
  • Buying preloved emits 41% less CO2 than new
  • Millions of affordable books
  • Give your books a new home - sell them back to us!

Real Estate Financial Modelling in Excel by Maria Wiedner

Get ahead of your peers with Real Estate Financial Modelling in Excel, a book specifically designed to ensure that the next generation of property professionals become experts in the quantitative analysis of investments by teaching them how to create automated spreadsheets for the analysis of risk and return. Real estate financial modelling has become an essential skill to investment analysts as the global property industry has seen huge transformations as a result of more institutional investors, especially private equity funds, increasing their interest in the asset class. Consequently, the industry requires a new skill set from real estate professionals and graduates. Real Estate Financial Modelling in Excel will help current finance and real estate students, as well as practitioners, to harness the power of Microsoft Excel in the context of real estate investments and explain in an easy-to-follow manual style how to create financial models that will predict financial returns and the risks related to them. Readers will learn to use Excel for automation, data analysis, and data visualisation to inform their capital allocation decisions, giving them the edge with those technical skills in high demand in the investment markets and in particular with sophisticated investors such as pension and insurance funds, private equity, and specialised debt funds. This book will address the needs of busy real estate professionals and students in the final year of a real estate bachelor’s degree or master’s degree, who want to apply the theories of finance and investment into practice and build models to help make decisions regarding acquisitions, disposals, and management of real estate assets.

Maria Wiedner is the Founder and CEO of Cambridge Finance, a company she founded in 2016 to provide real estate financial modelling courses and consultancy. She is also the Founder and CEO of Real Estate Women, CIC, an organisation which advocates for equality and inclusion and the fair representation of women and minorities in senior positions. In addition, Maria serves as a Real Estate Finance Specialist and APC Assessor for the Royal Institution of Chartered Surveyors (RICS). Maria currently teaches Real Estate Modelling in the Global Masters in Real Estate Development program at IE School of Architecture and Design in Madrid, Spain, and is a D&I Editorial Advisor for Property Week, the leading news magazine in the commercial and residential property market in the United Kingdom. Maria’s career has been built upon highly quantitative roles, such as property derivatives, renewable energy financial analysis, and listed real estate investment trusts (REITs) research. She is a graduate of Fundacao Getulio Vargas in Sao Paulo, Brazil, where she received a BA in Business Administration, an alumna of University of Cambridge (MPhil), a CFA Charterholder, and a member of the RICS (MRICS). Having lived in Brazil (her home country), Finland, Austria, the United States, France, and the United Kingdom, Maria speaks Portuguese, Spanish, German, Finnish, and English.

SKU Unavailable
ISBN 13 9781032544007
ISBN 10 1032544007
Title Real Estate Financial Modelling in Excel
Author Maria Wiedner
Condition Unavailable
Binding Type Paperback
Publisher Taylor & Francis Ltd
Year published 2024-12-30
Number of pages 234
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable