A Real-Options-Aware Multi-Criteria Framework for Ex-Ante Real Estate Redevelopment Use Selection

Battle Count: 53

The paper addresses real estate redevelopment use selection through a decision-analytic framework. While it involves NPV calculations, risk decomposition, and multi-criteria optimization, it is fundamentally a strategic planning and asset management tool rather than a quantitative trading methodology. There is no connection to market microstructure, algorithmic trading, portfolio rebalancing, or financial instrument pricing. The real options component is conceptual (preserving flexibility) rather than computational (option pricing). Minimal overlap with quantitative trading applications.

The mathematical structure is straightforward: linear normalization, weighted aggregation, and a subtractive attractiveness index. However, practical implementation requires significant domain expertise for scoring indicators (market risk, operational risk, technical/managerial complexity), access to local benchmarks, and disciplined judgment. The framework is designed for professional use by asset owners, developers, and investment committees. No code is provided, but the formulas are transparent and could be implemented in a spreadsheet. The main complexity lies in the qualitative judgment inputs rather than computational requirements.

The paper provides explicit formulas for normalization, aggregation, and the attractiveness index, along with baseline weight parameters and a worked numerical example (Table 1). However, scoring of indicators (market risk, operational risk, complexity) relies heavily on expert judgment and local benchmarks. The illustrative cases are composites reflecting recurring professional patterns rather than empirical data. The framework is designed to be implemented through a standard evaluation worksheet, but high-quality application requires local transaction benchmarks, operator interviews, and conservative assumptions. No code or dataset is provided.