How to Build a Better Automated Valuation Model (AVM)

Uncertain about the intricacies of building an Automated Valuation Model (AVM)? This comprehensive guide empowers you to navigate the entire process. Across ten insightful chapters, you'll gain a solid understanding of the essential building blocks. Master the use of quantitative and categorical variables, confidently encode them for optimal analysis, and discover techniques to derive a truly representative sales sample. The book tackles common challenges: effective methods for adjusting sale prices to account for time value, the nuances of fixed and location surface areas, and correlation and multicollinearity to ensure model robustness.
Equipped with these skills, delve into regression modeling, residual analysis, and outlier identification using Z-scores. Fine-tune your model for peak performance and gain a thorough understanding of sales ratios. Finally, explore the crucial step of applying your AVM to holdout samples and the broader population, ensuring its accuracy and generalizability. "How to Build a Better AVM" equips you with the knowledge and tools to construct a powerful and reliable AVM, taking the guesswork out of property valuation.