ChatGPT and Bard Weigh in on Futuristic Technical Analyses of the Housing Market – Part 3 of 3

In our previous two technical analyses of the housing market, we explored using game theory to analyze Case Shiller's MSA-level market metrics, explained the advantages of using dynamic programming over static regression analysis for predictive modeling, discussed the need for transparent and dynamic AI-powered credit-scoring models, and looked into the pricing of new STEM jobs in relation to local housing costs. In this third and final part, we'll focus on comparable sales analysis and how AI can assist in selecting the best comps, reducing subjectivity in the appraisal and assessment process.

AI-derived Comparables: CMA and Appraisal

Author: Choosing comparable sales objectively is crucial in the valuation process of real estate. Real estate salespeople use recent sales and listings to determine the value of incoming subjects but often fail to make necessary adjustments. Even when adjustments are made, the process is often heuristic and can result in inflated subject valuations. Salespeople must present a price-level analysis to statistically back up and justify the comps, with the median value of the sub-market in which the subject resides. This would lead to more transparent valuations and easier home-buying contract negotiations. Do you agree that salespeople should produce a better analysis of the sub-market and unbiased comps for more accurate valuations? How can AI assist in market analysis, adjustment matrix development, and selecting unbiased comps for subject values?

ChatGPT: Yes, I completely agree that salespeople should produce a better analysis of the sub-market and unbiased comps for more accurate valuations. Artificial intelligence (AI) can help in the market analysis, adjustment matrix development, and selection of unbiased comps for subject values in a few ways. For example...

* To fully explore the rest of the chapter, I recommend obtaining a copy of my book on Amazon. Here are the links:

Kindle version: https://www.amazon.com/dp/B0C7N9CW8J

Paperback version: https://www.amazon.com/dp/B0C7J4X64P

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ChatGPT and Bard Weigh in on Housing Market – Part 3

In the previous two segments of this series, we discussed the primary and non-primary elements of the housing market. In part three, we will delve into the current valuation levels and pricing methods and how AI-powered machine learning can enhance valuation accuracy.

Case Shiller Price Index

Author: Although the housing market varies greatly depending on the location, recent data from the Case Shiller National Index shows a steady decline in prices (February 2023 = 296.69) since reaching a peak of 305.15 in June 2022. The current high-interest rates and the ongoing regional banking crisis could result in stricter lending practices, which would further decrease demand for housing in the short term. Homeowners who are content with their low mortgage rates and are not under any pressure to sell in a declining market are expected to stay away from the market, as they will not be able to make a substantial profit. Additionally, AI has already had a negative impact on high-paying jobs in the technology and finance sectors. Considering these factors, do you anticipate any catalyst that could cause the housing market to improve in the near future, aside from the closeout inventories from builders that mainly benefit cash buyers?

ChatGPT: One possible catalyst for improvement in the housing market could be a relaxation of lending practices by banks. If lenders are willing to offer more flexible and affordable loan terms, this could help increase demand from potential homebuyers who may have been previously unable to secure financing due to stricter requirements...

* To fully explore the rest of the chapter, I recommend obtaining a copy of my book on Amazon. Here are the links:

Kindle version: https://www.amazon.com/dp/B0C7N9CW8J

Paperback version: https://www.amazon.com/dp/B0C7J4X64P

Hardcover version: https://www.amazon.com/dp/B0C7J7D6VH

PDF version (non-Amazon): https://payhip.com/b/7nTyK