Tim Olson
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43 lines
3.5 KiB
Markdown
43 lines
3.5 KiB
Markdown
---
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description: "Buy real estate properties or REITs in metropolitan statistical areas (MSAs) with high past returns and sell those with low past returns, exploiting empirical momentum effects across U.S. regional real estate markets."
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tags: [real-estate, momentum, regional]
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---
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# Real Estate Momentum — Regional Approach
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**Section**: 16.4 | **Asset Class**: Real Estate | **Type**: Momentum
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## Overview
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This strategy exploits empirical evidence that there is a momentum effect across U.S. metropolitan statistical areas (MSAs): areas with higher past returns tend to continue delivering higher returns in the future, and areas with lower past returns tend to continue delivering lower returns. The strategy buys real estate in high-momentum MSAs and sells (or avoids / shorts via REITs) in low-momentum MSAs.
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## Construction / Mechanics
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1. **Measure past returns** for each MSA over a lookback period
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2. **Rank MSAs** by past return (momentum signal)
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3. **Long** top-ranked MSAs (buy real estate or REITs/futures on housing indexes for those regions)
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4. **Short** bottom-ranked MSAs (sell/short REITs or futures on U.S. housing indexes for those regions)
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For a **zero-cost strategy**, use alternative real estate investment vehicles:
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- REITs (exchange-traded, geographic focus)
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- Futures and options on U.S. housing indexes (e.g., CME S&P/Case-Shiller Home Price Index futures) based on different geographical areas
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## Return Profile
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Profits when the return spread between high-momentum and low-momentum MSAs persists into the future. The strategy captures the serial autocorrelation in regional real estate returns. Returns are driven by macroeconomic factors (local employment, population growth, housing supply constraints) that tend to persist over medium-term horizons.
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## Key Parameters / Signals
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- **Lookback period**: the historical window for measuring past returns (typically 1–3 years for real estate, given its lower turnover and slower price discovery)
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- **MSA selection**: number of MSAs in the long and short legs; broader MSA coverage increases diversification
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- **Implementation vehicle**: direct property (illiquid, high transaction costs), REITs (liquid, but less geographically precise), or housing index futures/options (liquid, zero-cost portfolio feasible)
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- **Rebalancing frequency**: determined by liquidity of the implementation vehicle; REITs allow more frequent rebalancing than direct property
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## Variations
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- **REIT-based momentum**: use geographically focused REITs as proxies for MSA-level real estate; allows exchange-traded implementation and short selling
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- **Housing index futures**: use CME futures on S&P/Case-Shiller Home Price Indexes for specific U.S. cities/regions to construct a zero-cost momentum portfolio
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- **Combined property-type and regional momentum**: apply momentum within each property type × region segment
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## Notes
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- Real estate momentum is slower-moving than equity momentum; the lookback and holding periods are typically longer
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- Transaction costs for direct real estate are prohibitive for frequent rebalancing; vehicle selection (REIT, futures) is critical for practical implementation
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- Momentum in real estate is partly driven by supply rigidity (permitting lags, construction time) and demand inertia (migration, employment trends)
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- Reversal risk: overheated MSAs can experience sharp price corrections; the strategy has exposure to regional housing bubbles
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- Correlation between regional REITs and local housing markets is imperfect; basis risk exists between the REIT price and the underlying physical real estate prices
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