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Overstated Forecast Risks: How We Cut Numbers Down to Reality

Аналитик офиса корректирует прогнозы рынка недвижимости

Overstated Forecast Risks: How We Cut Numbers Down to Reality

Why inflated forecasts matter ⚠️

Inflated forecasts are common in real estate. Overly optimistic projections about prices and rental income can obscure real risks: weaker demand, construction delays, rising costs, or regulatory changes. For buyers and investors, this can mean lower returns, unexpected expenses, or difficulty exiting the investment.

Why forecasts get inflated

  • Sellers or developers have an incentive to present the best possible picture.
  • Limited benchmarking against comparable properties and local transactions.
  • Ignoring stress scenarios such as demand shocks or extended timelines.
  • Relying on optimistic macroeconomic assumptions instead of conservative ones.

Main risks for buyers and investors

  1. Unrealistic return expectations: rental and resale numbers that don’t hold up in the market.
  2. Liquidity risk: harder or costlier sale if market conditions change.
  3. Financial strain: extra capital needed for repairs, operating costs, or marketing.
  4. Time risk: longer holding periods and delayed payback.

How to cut projections to reality — a practical approach 🔪

  1. Create at least three scenarios: optimistic, base (realistic), and conservative. Document the assumptions for each.
  2. Test the assumptions: demand, rental levels, completion dates, and operating costs.
  3. Benchmark against actual comparable sales/rentals and typical time-to-sell in the area.
  4. Run stress tests: what happens if costs rise or demand falls? Identify the break‑even points.
  5. Assess liquidity: how fast could you sell, and at what discount, if needed?

Practical checklist before signing ✅

  • Ask for assumptions and documentation in writing.
  • Verify data sources: official stats, local brokers, and competing listings.
  • Build time buffers: construction and transaction processes often take longer than planned.
  • Reserve contingency funds — better to have a buffer than to scramble for funds later.
  • Compare multiple offers; differences often come from differing assumptions rather than real value.

Examples of adjusting projections (scenarios)

  • Rental forecasts: if a seller presumes sharp rent growth, also model flat rents and modest declines.
  • Completion dates: add extra months or quarters to account for potential delays.
  • Operating costs: include scenarios with rising utilities, maintenance, and management fees.

Discussing adjustments with sellers or developers

  • Ask them to explain each assumption and provide sources.
  • Offer your alternative scenarios and ask for revised calculations.
  • Check the quality of their data — unnamed or anecdotal sources should prompt caution.

Behavioral traps to avoid 🧭

Fear of missing out and overconfidence are common. Counter these by insisting on conservative scenarios and documented assumptions. Numbers backed by transparent sources reduce emotional bias.

Next steps — practical support

Cutting projections to reality reduces risk and leads to better decisions. If you’d like, we can review the forecasts for your property and prepare realistic scenarios. Contact BuyHome for help evaluating options, preparing stress tests and making a confident purchase. 📩

(Start your search or review listings here: https://buyhome.ge/en/search)

Date added: 07.02.26

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