Traditional real estate allocations often treat hospitality as a niche "alternatives" category, reliant on vintage diversification or relationship-based sourcing. Public hospitality assets, such as REITs and operators, are benchmarked on broad market indices with limited asset-specific risk adjustment.

Bay Street Hospitality re-engineers this paradigm. We blend:

• Public Market Intelligence: Tracking REIT dislocations, ETF flows, benchmark spreads
• Private Underwriting Precision: Rigorous brand/operator selection, feasibility modeling, and technical validation
• Proprietary Metrics: Bay Score, Adjusted Hospitality Alpha (AHA), Bay Adjusted Sharpe (BAS), and Liquidity Stress Delta (LSD)

The goal: Create a truly unified, risk-calibrated investment architecture for hospitality across all asset types and regions.

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Core Metrics and Definitions

Bay Score: Weighted composite measure of deal attractiveness, integrating financial, operational, strategic, and risk-adjusted inputs into a single 0–100 score.

Adjusted Hospitality Alpha (AHA): Excess return above benchmark, net of illiquidity premium, region risk, and FX volatility.

Bay Adjusted Sharpe (BAS): Risk-adjusted alpha, using synthetic volatility models for private assets and realized vol for public comparables.

Liquidity Stress Delta (LSD): Projected IRR degradation under delayed exit or impaired liquidity scenarios.

Each input is calibrated quarterly using Time-Weighted Return (TWR) logic, ensuring dynamic drift modeling and macro-adjusted return expectations.

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Deal Lifecycle Methodology

1. Brand & Operator Selection

Bay Street uses a Platform Synergy Score and Operational Leverage Flag to quantify brand/operator quality beyond traditional franchise terms. STR RevPAR, EBITDA margins, and brand equity sentiment analytics are integrated into Bay Score calculations.

LP Insight: Operator agreements that incentivize upside while limiting fixed downside exposure enhance AHA and raise Bay Score rankings.

2. Feasibility Studies and Valuation

All market feasibility assumptions are benchmarked against public REIT proxies (P/FFO, FFO Yield) and regional submarket data (STR/CoStar). IRR Sensitivity Bands and LSD modeling overlay downside case stress.

LP Insight: Feasibility reports that lack modeled exit stress are flagged for rejection or adjustment.

3. Financial Modeling and Underwriting

Every underwriting model integrates Bay Score, BAS, and LSD metrics dynamically. Volatility assumptions are adjusted based on public market analogs and private leverage dispersion scores.

4. Debt and JV Structuring

Capital stack modeling includes:

• LTV and DSCR stress tests
• FX hedging overlay
• Liquidity buffers

Preferred equity, intercreditor protections, and exit covenants are scored within the deal's Bay Score rating.

5. Technical Diligence

Brand compliance, CapEx planning, timeline buffers, and ADA/Sharia compliance factors are incorporated into IRR Drift Index projections.

6. Asset Management and Monitoring

AHA and BAS are recalculated quarterly post-close, with Live Bay Score Deltas tracked to identify drift from underwriting assumptions.

7. Exit Planning and Execution

Exit readiness modeling includes:

• Jensen’s Alpha drift adjustment
• Exit Waterfall Optimization (risk-sharing recalibration)
• Benchmarking against public market transaction comps

LP Insight: Exit optionality is modeled at underwriting, not post-hoc.

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Portfolio Construction Methodology

Streamlit-Powered Optimizer

Bay Street's custom Streamlit platform solves for optimal portfolio composition by maximizing Bay Score or AHA under defined risk constraints:

• 10% max per ticker
• 40 assets max per optimization run
• Liquidity stress tolerance thresholds
• Volatility bands calibrated to public-private dispersion

Historical simulations (5-, 10-, 15-, 20-year periods) benchmark against the Bay Street Hospitality Index (BSHI), a proprietary composite integrating STR, NCREIF, CoStar, Cambridge, FTSE Nareit, MSCI, and S&P Global indices.

Public-Private Normalization Engine

To enable apples-to-apples comparisons between private deals and public assets, Bay Street developed a Public-Private Mapping Framework:

Public MetricPrivate EquivalentRisk-Adjusted PurposeP/FFOEntry Cap Rate vs Stabilized NOIEarnings PowerEV/EBITDATEV/NOIOperating YieldPrice/BookEntry vs Replacement CostAsset MispricingDividend YieldCoC YieldRealized YieldROIC/ROEReturn on CostCapital Efficiency

LP Insight: Every private deal is normalized to a public equivalent risk-return profile, reducing anchoring bias.

Strategic Applications for LPs

• Deal Screening: Only opportunities exceeding Bay Score 70+ and BAS thresholds enter IC review.
• Dynamic Capital Deployment: Macro triggers from REIT spreads, ETF flows, and BSC data adjust private investment pacing.
• Downside Containment: Every asset is stress-tested against LSD and macro overlays (currency, tourism, political risk).
• Exit Optimization: Exit decisions are driven by recalibrated Bay Score Trajectory Forecasts, ensuring timing alignment with capital market cycles.

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Conclusion: Hospitality Investing, Institutionalized

Bay Street Hospitality transforms hospitality investing from a fragmented, intuition-based practice into a systematic, data-anchored discipline.

Through rigorous quantamental integration—anchored by the Bay Street Hospitality Index (BSHI), Bay Score, AHA, BAS, and LSD metrics—the firm offers LPs a risk-calibrated pathway to alpha generation, downside protection, and long-term performance predictability.

Hospitality is no longer a niche alternative. Under Bay Street's framework, it becomes an institutional core.

Legal Disclaimer

The materials provided herein are for informational purposes only and do not constitute investment advice, an offer, or solicitation. No representation is made that any strategy described will achieve specific results. Past performance is not indicative of future returns. All information is subject to change without notice.

© 2025 Bay Street Hospitality Fund I GP LLC. All rights reserved.

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