TL;DR: Bay Street's Quantamental Approach -- How We Underwrite Hotel Investments
At Bay Street Hospitality, underwriting a hotel investment is not a checklist -- it is a repeatable, multi-stage process that bridges quantitative screens, deep qualitative diligence, and a capital markets view into a single conviction. Our quantamental framework runs every deal through five structured gates: market screening (weeks 1-2), asset-level information gathering under NDA (weeks 2-4), LOI and term sheet (weeks 5-6), full due diligence (weeks 6-14, typically 75 days compressible to 60 for off-market deals in deep-data markets), and final investment committee and closing (weeks 14-18). The quantitative foundation is market-first and anchored in operational reality: STR competitive set benchmarks, forward booking curve analysis from the hotel's property management system layered against STR pickup data, demand segmentation by five buckets (leisure transient, corporate negotiated, group/convention, OTA/wholesale, complementary/crew), and renovation cost benchmarks calibrated against regional market data. The qualitative overlays -- management team assessment, brand relationship quality, union contract review, CapEx deferred assessment, and regulatory and zoning review -- carry equal weight with financial projections in our IC submissions. Market selection runs four quantitative filters in sequence: RevPAR growth vs. supply growth spread (minimum 150 bps required), cap rate vs. weighted average cost of capital (minimum 100 bps positive spread), occupancy vs. ADR balance (ADR-led preferred), and treaty and structuring efficiency (DTA network coverage required). Every operator search is competitive, never single-source, with HMA terms prioritizing base fee profitability linkage, owner priority return hurdle, and performance test with no-fault termination rights. ESG is a valuation input: GRESB pre-assessment at LOI stage, energy intensity benchmarking against IHG and Marriott standards, and LP-driven SFDR alignment requirements. Exit modeling applies standard cap rate reversion (25-50 bps widening base case) and Bay Street's proprietary Liquidity Stress Delta metric to identify timing-dependent deals that require capital structure reinforcement.
Every deal begins at the same place: market-first, asset-second. No asset conversation begins without a market thesis already on paper. Our deal pipeline flows through five structured gates before capital is deployed, with each gate serving a specific purpose in the conviction-building process.
Stage 1 is market screening (weeks 1-2). We run quantitative market screens across our APAC target set to generate a short list of investable submarkets. Stage 2 is asset-level NDA and information gathering (weeks 2-4). We request trailing-12-month and trailing-3-year operating statements, STR competitive benchmarking reports, the existing Hotel Management Agreement or lease, recent Property Improvement Plan documentation, utility records, and zoning or title encumbrances. We also pull a forward booking curve snapshot from the hotel's property management system and layer it against STR's pickup data for the submarket. The booking curve is often the single most informative data point at this stage: a healthy curve shows group pace above prior year at 90 days and transient pace building normally at 30 days.
Stage 3 is LOI and term sheet (weeks 5-6). We submit a non-binding LOI anchoring price, deal structure (direct versus joint venture), assumed hold period, operator arrangement, and material conditions to close. Leverage on key HMA commercial terms is highest before the LOI is signed; we treat this stage as the moment to lock the operator negotiating framework, not defer it. Stage 4 is full due diligence (weeks 6-14, typically 75 days) -- parallel technical, legal, financial, and operator diligence workstreams running simultaneously. Stage 5 is final IC and closing (weeks 14-18): IC submission includes a full 10-year proforma model, sensitivity tables, GRESB pre-assessment, operator scorecard, and legal sign-off on title and regulatory compliance.
Our financial model is anchored in operational reality, not top-down assumptions. RevPAR comps from STR's STAR report are the primary data source: we track the subject hotel's RevPAR Index, Occupancy Index, and ADR Index against an identified competitive set for the trailing 12 and 36 months. We use Lighthouse for forward-looking rate benchmarking and booking pace data at 30/60/90-day windows. STR and Tourism Economics forecast APAC-wide RevPAR growth of 3.6% in 2026 and 2.5% in 2027, with 15 of 16 APAC markets expected to see both rate and RevPAR rise year-over-year.
Forward booking curve analysis is a mandatory diligence input. A flat or negative group pace at 90 days is a yellow flag we underwrite explicitly, typically by widening the RevPAR growth assumption in years 1-2 to reflect slower group recovery and by requiring operator commitment to specific sales team headcount as a closing condition. Demand segmentation analysis models gross revenue by five buckets: leisure transient, corporate negotiated, group/convention, OTA/wholesale, and complementary/crew. The mix determines both rate ceiling and yield management optionality: corporate-heavy hotels carry more ADR stability but greater cyclicality risk; OTA-heavy hotels carry higher distribution cost and rate opacity.
Renovation cost benchmarks are assembled from Horwath HTL proprietary data and Procore project information, triangulated against CBRE and JLL hotel PIPs from recent transactions. In APAC, soft renovation benchmarks typically run USD 15,000-45,000 per key for upper-midscale, USD 50,000-120,000 per key for upscale, and USD 120,000-300,000+ per key for luxury, depending heavily on market (Singapore and Tokyo at the top; Bali and Bangkok at the lower end). Hard-cost renovations in seismically active markets carry a 20-30% cost premium that must be modeled explicitly in Japan deals.
Our IC submissions have a mandatory qualitative section that carries equal weight with financial projections. Management team assessment evaluates the incumbent GM and department heads through structured interviews and mystery-shopper audits, benchmarked against the operator's internal competency framework. More importantly, we assess whether the operator's regional management layer has genuine bandwidth -- an exceptional brand with an overextended regional team is a recurring underperformance driver in APAC hotels that does not appear in any financial model but consistently explains the gap between proforma and actual performance.
Brand relationship quality evaluation includes reference calls with other owner-operators in the brand's portfolio and assessment of the brand's track record on PIP compliance timelines and fee dispute resolution. Union contract review is applicable primarily in Australia, Japan (some properties), and select South Korea assets, and can add 5-10% to the normalized operating expense base. CapEx deferred assessment through an independent Property Condition Assessment identifies all items with expected expenditure within 24 months -- in our experience, seller disclosures on deferred CapEx are routinely understated by 20-40%. Regulatory and zoning review through local counsel is non-negotiable: Thailand has intensified enforcement against nominee foreign-ownership structures in 2025-2026; Japan requires hotel licensing under the Hotel Business Act; Indonesia constrains foreign ownership to leaseholds in most cases.
Market selection is arguably the most important decision in hotel underwriting. Our market screen runs four quantitative filters in sequence, and all four must pass before we will consider a specific asset.
Filter 1 is RevPAR growth versus supply growth spread: we target markets where forecast RevPAR CAGR exceeds supply CAGR by at least 150 basis points. Japan (double-digit RevPAR growth, approximately 3% supply CAGR) and Singapore (4-6% RevPAR, approximately 7.8% supply CAGR) currently pass this screen. Vietnam fails it despite strong RevPAR growth because its 35% supply CAGR by 2029 overwhelms demand.
Filter 2 is cap rate versus weighted average cost of capital: we require a positive spread of at least 100 bps between the going-in yield and our fund-level cost of capital. Prime Tokyo hotel yields are compressing to record lows, which pushes us toward value-add rather than core acquisition strategies in Japan -- buying a stabilized Tokyo luxury hotel at a 3.8% cap rate against a 4.5% cost of capital fails this filter, while a value-add position with a 5.5% going-in yield and a clear path to 7%+ stabilized yield passes.
Filter 3 is occupancy versus ADR balance: we prefer markets where RevPAR growth is ADR-led rather than occupancy-led. Occupancy-led RevPAR growth is vulnerable to supply additions; ADR-led growth signals pricing power and demand quality. Japan (ADR +11.9% YoY), Australia (ADR growth across all major markets), and South Korea (arrivals +15% driving rate recovery) are all currently running ADR-led performance.
Filter 4 is treaty and structuring efficiency: as a Singapore VCC, we require that the destination market falls within Singapore's DTA network to minimize withholding friction on dividends and interest. Japan, Australia, India, and Thailand all have Singapore DTAs. Markets outside this network face a capital efficiency penalty -- typically 10-20 percentage points of additional withholding on distributions -- that typically overwhelms the investment case in gateway-quality markets where yields are already compressed.
We run every operator search as a structured, competitive process -- never single-source. For a PE fund with a 5-7 year hold and value-add thesis, HMAs are generally preferred over leases because they preserve pricing power and exit flexibility. Five HMA commercial terms are non-negotiable in our framework: base fee (profitability-linked or floor that steps down below a GOP threshold); incentive fee (mandate a detailed schedule of disallowed items before signing an LOI); owner priority return (8-10% of invested equity hurdle before any incentive fee is payable); performance test and termination rights (two-part test: absolute GOP threshold and RevPAR index benchmark against comp set, with failure in two consecutive years triggering no-fault termination right); and term and reflagging flexibility (initial terms of 10-15 years with owner-side options and explicit carve-outs for repositioning and reflagging upon asset sale).
ESG is no longer a compliance overlay -- it is a valuation input for our LP base and for exit pricing. We commission a GRESB pre-assessment at the LOI stage using the Real Estate Assessment framework. A target asset scoring below 40 out of 100 on GRESB triggers additional acquisition price discount or a mandatory Year 1 ESG remediation CapEx line. We benchmark target assets against IHG's and Marriott's published energy intensity standards (approximately 250-400 kWh per square meter per year for upper-upscale APAC hotels). Our LP base -- institutional co-investors and Singapore family offices -- increasingly requires SFDR Article 8 alignment for European-domiciled LP entities. We treat ESG infrastructure as a CapEx line that protects exit optionality, not a philanthropic gesture.
Our base-case exit model runs on a cap rate reversion applied to Year N+1 NOI, where N is our target hold period (typically 5-7 years). We set exit cap rates 25-50 bps wider than the going-in cap rate for core APAC gateway markets, and 50-100 bps wider for value-add positions. Every IC submission includes a standard sensitivity grid across exit cap rate, RevPAR CAGR, and hold period scenarios, with approximate IRR impact quantified for mild stress (+50 bps cap rate, +2% RevPAR, +1 year hold), moderate stress (+100 bps, +1% RevPAR, +1 year), and severe stress (+150 bps, flat RevPAR, +2 years).
Beyond standard sensitivity analysis, we use Bay Street's proprietary Liquidity Stress Delta metric, defined as (IRR_base - IRR_delayed) / IRR_base, to quantify IRR drag from exit timing slippage. An LSD above 15% signals that a deal's returns are dangerously timing-dependent and requires capital structure reinforcement -- typically higher equity cushion and lower leverage. A Lisbon midscale hotel modeled at 15.2% base IRR can drop to 12.3% with just a 12-month exit delay and mild 50 bps cap rate softening -- a 19.1% LSD that triggers capital structure review before IC approval.
Our technology stack runs STR and CoStar for market benchmarking and competitive set analysis, Lighthouse for forward-looking rate benchmarking and booking pace, CoStar and Real Capital Analytics for transaction comps and cap rate data, Procore for renovation CapEx tracking and contractor management, Yardi for post-acquisition NOI tracking and lease management, and the GRESB Portal for annual assessment submission and pre-assessment scoring. The proprietary Bay Street Terminal -- a Streamlit-based portfolio analytics platform -- integrates all deal-level data into a single dashboard that flags capital structure misalignment, generates LSD alerts, and tracks Bay Score (our composite deal quality metric) across the live portfolio.
Why does Bay Street run the market filter before the asset filter?
Because no asset can outperform its market over a 5-7 year hold. An exceptional asset in a market with oversupply, weak RevPAR fundamentals, or structural demand decline will underperform a good-not-great asset in a market with constrained supply, ADR-led RevPAR growth, and strong institutional exit liquidity. The market filter eliminates the risk of being seduced by a compelling individual asset story set against a structurally unfavorable backdrop. It also provides underwriting discipline against deal flow that arrives with marketing materials already anchored to the asset's historical performance -- by requiring a market thesis first, we ensure that every acquisition is a market thesis plus an asset thesis, not just an asset thesis.
What makes the ADR-led growth filter more important than RevPAR growth alone?
RevPAR growth can be generated two ways: higher occupancy (more guests) or higher ADR (each guest pays more). Occupancy-led growth is inherently vulnerable to supply additions -- when a competitor opens a new hotel, occupancy distributes across more rooms and the occupancy-led RevPAR gain partially reverses. ADR-led growth reflects pricing power -- the market's willingness to pay more for the same room -- which is driven by demand quality, brand positioning, and supply scarcity. In our current APAC target markets, Japan's ADR +11.9% YoY reflects genuine pricing power driven by yen-weakness-adjusted luxury demand. A market growing RevPAR purely through rate is a better underwriting environment than one growing RevPAR through filling rooms with discounted transient business.
How does the GRESB pre-assessment affect the acquisition price?
A GRESB pre-assessment at LOI stage scores the target hotel on five component areas: Management, Policy and Disclosure, Risks and Opportunities, Monitoring and EMS, and Performance Indicators. An asset scoring below 40 is in the bottom quartile of its peer group -- any institutional buyer at exit who requires GRESB participation will either discount the asset significantly or decline to participate in the exit process. We quantify this discount at acquisition: typically 3-5% of asset value, reflecting the CapEx and management time required to bring a below-40 scorer to a peer-average 55-65 score over a 2-3 year post-acquisition period. The GRESB pre-assessment cost (approximately $5,000-15,000) is one of the highest-ROI diligence expenditures in our process.
How does the LSD metric help identify deals that need to be passed or restructured?
The Liquidity Stress Delta answers the question: "how much does a 12-month exit delay cost this deal?" A high LSD (above 15%) means the deal's returns are thin enough that a single year of forced holding -- due to market illiquidity, debt maturity pressure, or adverse RevPAR conditions -- reduces IRR by more than 15% of the base return. Deals with high LSD need a specific capital structure response: lower leverage (so debt maturity does not force a sale), higher equity cushion (so a RevPAR shock does not breach covenants), or a longer original hold period (so the 12-month delay is proportionally smaller). The LSD metric makes timing dependence visible at the IC stage, before capital is committed.
How does the five-bucket demand segmentation affect HMA negotiation?
Understanding demand segmentation going into HMA negotiation allows us to negotiate operator KPIs calibrated to the asset's specific demand mix rather than the brand's generic standards. An OTA-heavy hotel where 40% of revenue comes through third-party channels has structurally higher distribution costs and lower net ADR than a direct-booking-dominant hotel at the same gross ADR. Our HMA negotiation adjusts the Disallowed Expenses schedule to exclude OTA commission costs and includes a direct booking performance metric in the two-part performance test. Similarly, a group-heavy hotel with 35% convention revenue has a completely different yield management profile, and our GOP hurdle and RevPAR index performance test are calibrated accordingly.
What is the Bay Score and how is it used?
Bay Score is Bay Street's composite deal quality metric, calculated in the Bay Terminal from weighted inputs across five dimensions: market quality (RevPAR growth spread, supply pipeline, exit liquidity score); asset quality (brand tier, physical condition, GRESB pre-assessment score); financial quality (going-in yield vs. WACC, LSD, leverage ratio); operator quality (HMA terms achieved vs. target, performance test enforceability, management team score); and structural quality (DTA efficiency, FIRB status, title clarity score). Each dimension is scored 0-100, with weights calibrated annually against post-acquisition performance data to ensure weights reflect what has actually driven returns. A Bay Score above 75 indicates a deal above average on all five dimensions; deals with Bay Scores below 55 on multiple dimensions require explicit IC discussion of why the quantitative flags are wrong before capital is approved.
Bay Street Hospitality is a Singapore-domiciled hospitality private equity fund operating under the Variable Capital Company (VCC) framework, regulated by the Monetary Authority of Singapore. We invest in upper-upscale and luxury hotel assets across Asia-Pacific, deploying capital through a multi-sub-fund VCC structure designed to maximize treaty efficiency and ring-fence risk across geographies. We have publicly stated a 2032 SGX listing target.
This content is for informational purposes only and does not constitute investment advice, an offer to sell, or a solicitation of an offer to buy any securities or fund interests. Past performance is not indicative of future results. All investment involves risk, including the potential loss of principal. Prospective investors should conduct their own due diligence and consult their own legal, tax and financial advisors before making any investment decision.
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Bay Street Hospitality is a diversified hotel fund series for allocators seeking quant-driven exposure across top countries, operators, and hotel tiers. The fund targets a diversified portfolio in both high-growth emerging markets and stable developed markets, optimizing risk-adjusted returns. The leadership provides structured equity and pivotal strategic guidance to hotel-related investments. The fund establishes joint ventures with best-in-class partners, focusing on deal flexibility, currency considerations, tax efficiency, and clear exit strategies.
