‍
Public Markets
Bay Street identifies attractive opportunities across listed hospitality companies—including REITs, lodging operators, and related platforms—using a value, momentum, carry, and defensive factor model. Public exposures are hedged with tactical option overlays for downside protection and income optimization.
Private Markets
Across private markets, the platform deploys region-specific strategies into stabilized operating hotels, brand repositioning developments, joint ventures with operators, and minority stakes in seasoned hotel platforms. Each private investment is calibrated to a global public-private relative value lens.
‍
Key Proprietary Metrics:
Normalization & Forecasting Enhancements:
Inputs such as RevPAR and occupancy rates are adjusted using CoStar submarket forecasts, weighted by demand sufficiency levels and volatility bands. Forecast Confidence Scores flag variables derived from modeled (non-observed) data.
‍
Bay Street uses a unified mapping system to normalize metrics:
Public ProxyPrivate EquivalentP/FFOCap Rate vs. Stabilized NOIEV/EBITDATotal Enterprise Value / Normalized Asset NOIDividend YieldCoC Return (Stabilized Yield)ROICReturn on CostDebt/EquityLoan-to-Value (LTV) or DSCR
This engine supports seamless relative value analysis between REITs and private assets.
‍
Bay Street’s Streamlit Optimizer maximizes utility:
Constraints:
Historical simulations and backtesting use time-weighted returns anchored to benchmarks like MSCI GPFI, STR Global RevPAR Index, and NCREIF Hotel Index.
‍
Fund Vehicles:
Tax Strategies:
Exit Readiness:
‍
Bay Street's Geopolitical Drag (G-Score) metric adjusts exit and FX assumptions using:
This drag is integrated into AHA and IRR sensitivity bands.
‍
Post-investment, Bay Street re-rates assets quarterly:
Drift projections use CoStar Method-flagged data and multiple macro scenarios.
‍
Bay Street Hospitality’s Unified Quantamental Framework transforms fragmented public and private hospitality market data into an integrated, risk-calibrated investment engine. Every deployment decision is stress-tested against liquidity constraints, volatility realities, and macro regime shifts—offering institutional allocators a transparent, data-driven path to global hospitality exposure.
‍
Bay Street’s system aligns with:
Illiquidity premiums and drift corrections are recalibrated quarterly to ensure enduring risk realism.
‍
...