This paper presents a model in which owners choose the optimal mix of tenants. Tenant types are broadly defined to include not only the standard distinctions (office, retail, industrial, residential), but also more subtle distinctions such as the nature of business (store type in shopping mall), preferences (high-quality versus no-frills), or degree of credit risk. There are three key features of the model. First, relative rent levels for different tenant types vary stochastically over time. Second, tenant demands for space are interrelated and may produce positive or negative externalities for other tenants. Third, altering the current mix results in the payment of adjustment costs. Using the methods of option pricing theory, the intertemporally optimal tenant mix policy is derived and analyzed. In particular, several factors are identified which impact the degree of landlord “cautiousness” in altering the current mix. Finally, the value of the optimal policy is decomposed into two forms of flexibility: dynamic flexibility emanating from the sequence of options to alter the mix in the future, and static flexibility resulting from choosing an initial optimally diversified “portfolio” of tenant types.
-
Faculty
- Academic Areas
- Awards & Honors
- Seminars
-
Conferences
- Accounting Summer Camp
- California Econometrics Conference
- California Quantitative Marketing PhD Conference
- California School Conference
- China India Insights Conference
- Homo economicus, Evolving
-
Initiative on Business and Environmental Sustainability
- Political Economics (2023–24)
- Scaling Geologic Storage of CO2 (2023–24)
- A Resilient Pacific: Building Connections, Envisioning Solutions
- Adaptation and Innovation
- Changing Climate
- Civil Society
- Climate Impact Summit
- Climate Science
- Corporate Carbon Disclosures
- Earth’s Seafloor
- Environmental Justice
- Finance
- Marketing
- Operations and Information Technology
- Organizations
- Sustainability Reporting and Control
- Taking the Pulse of the Planet
- Urban Infrastructure
- Watershed Restoration
- Junior Faculty Workshop on Financial Regulation and Banking
- Ken Singleton Celebration
- Marketing Camp
- Quantitative Marketing PhD Alumni Conference
- Rising Scholars Conference
- Theory and Inference in Accounting Research
- Voices
- Publications
- Books
- Working Papers
- Case Studies
-
Research Labs & Initiatives
- Cities, Housing & Society Lab
- Corporate Governance Research Initiative
- Corporations and Society Initiative
- Golub Capital Social Impact Lab
- Policy and Innovation Initiative
- Rapid Decarbonization Initiative
- Stanford Latino Entrepreneurship Initiative
- Value Chain Innovation Initiative
- Venture Capital Initiative
- Behavioral Lab
- Data, Analytics & Research Computing