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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.
Produkteigenschaften
- Artikelnummer: 9781032544007
- Medium: Buch
- ISBN: 978-1-032-54400-7
- Verlag: Taylor & Francis Ltd (Sales)
- Erscheinungstermin: 30.12.2024
- Sprache(n): Englisch
- Auflage: 1. Auflage 2024
- Produktform: Kartoniert
- Gewicht: 656 g
- Seiten: 242
- Format (B x H x T): 207 x 292 x 15 mm
- Ausgabetyp: Kein, Unbekannt