Alternate Applications of Automated Valuation Models (AVM)

De: Sid Som

Narrado por: Virtual Voice

This book delves into the diverse realms beyond the traditional uses of AVM in the real estate industry. Sid's insightful exploration reveals the distinct separation between Automated Valuation Models (AVM) and Computer Assisted Mass Appraisal (CAMA) fields, shedding light on their rare intersection in the market. These technologies maintain their own distinct territories, with AVM predominantly serving the mortgage industry and CAMA catering to public sector mass appraisal needs.
The book is structured into ten comprehensive chapters that unravel the innovative and unconventional applications of AVM in real estate. One key focus is understanding the disparity between the AVM and CAMA industries, highlighting how their functionalities and target markets seldom overlap. Sid further elucidates on the creation of specialized AVM solutions tailored for Real Estate Owned (REO) and Foreclosure scenarios, showcasing the adaptability of AVM technology in diverse real estate settings.
A significant chapter delves into the utilization of AVM by Multiple Listing Services (MLS), demonstrating how this technology can enhance listing services and streamline property valuation processes. Additionally, Sid provides practical guidance on developing regression-based AVM models using Excel, empowering readers to construct efficient valuation tools from scratch.
The book also ventures into the realm of commercial real estate, offering insights on building AVMs specifically designed for commercial properties. Sid outlines a decision matrix to aid readers in selecting the most suitable commercial AVM for their unique needs, emphasizing the importance of tailored solutions in this specialized market segment.
Furthermore, the book provides valuable advice on vetting CAMA consultants and selecting reputable AVM vendors, ensuring readers make informed decisions when implementing these technologies in their operations. Sid's guidance extends to stress-testing mortgage portfolios and assessment rolls using alternate AVM values, enabling readers to enhance risk management strategies and optimize resource allocation.
A particularly innovative concept discussed in the book is the use of forward sales samples to minimize sales chasing, showcasing a proactive approach to leveraging AVM technology for predictive analytics in real estate transactions.
Overall, "Alternate Applications of Automated Valuation Models (AVM)" serves as a comprehensive guide for real estate professionals seeking to harness the full potential of AVM technology beyond its traditional uses. Sid's expertise and in-depth analysis pave the way for a deeper understanding of the diverse applications of AVM in the dynamic landscape of real estate valuation.