Simulation-Based Excess Return Model for Real Estate Development : A Practical Monte Carlo Simulation-Based Method for Quantitative Risk Management and Project Valuation for Real Estate Development Projects
The Simulation-Based Excess Return Model (SERM) offers a simple, practical decision-making method for underwriting real estate development projects. It addresses the shortcomings of discounted cash flow modeling by taking into account the probabilistic distribution of outcomes and is based on realistic model of interaction of determining variables.The Simulation-Based Excess Return Model addresses the limitations of the prevailing methodologies by: 1. Employing a stochastic risk assessment method for the discovery of the range of outcomes. 2. Explicitly addressing the interdependence of input variables. 3. Offering an objective risk premium metric for guidance in decision-making.This is a revision and expansion of the original working paper as of June 6, 2010
Year of publication: |
2010
|
---|---|
Authors: | Gimpelevich, David J. |
Publisher: |
[2010]: [S.l.] : SSRN |
Subject: | Monte-Carlo-Simulation | Monte Carlo simulation | Risikomanagement | Risk management | Projektmanagement | Project management | Immobilienfinanzierung | Real estate finance | Kapitaleinkommen | Capital income | Theorie | Theory | Simulation |
Saved in:
freely available
Saved in favorites
Similar items by subject
-
Gimpelevich, David J., (2010)
-
Gimpelevich, David, (2011)
-
Bank stress testing : a stochastic simulation framework to assess banks' financial fragility
Montesi, Giuseppe, (2018)
- More ...
Similar items by person
-
Gimpelevich, David J., (2010)
- More ...