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A Comprehensive Guide to AVMs After the Non-Agency Mortgage Crisis: Studies in Systems, Decision, and Analysis

Orson Scott Card

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Published in Advances In Automated Valuation Modeling: AVM After The Non Agency Mortgage Crisis (Studies In Systems Decision And Control 86)

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The 2008 financial crisis was the most severe economic crisis since the Great Depression. It was caused by a number of factors, including the subprime mortgage crisis, the collapse of the housing bubble, and the failure of several major financial institutions. The crisis had a devastating impact on the global economy, and it led to a number of changes in the way that mortgages are originated and serviced.

One of the most significant changes that occurred after the crisis was the increased use of automated valuation models (AVMs) to assess property values. AVMs are computer-based models that use a variety of data sources to estimate the value of a property. They are often used by lenders to make lending decisions, and they can also be used by homeowners to track the value of their property.

Advances in Automated Valuation Modeling: AVM After the Non Agency Mortgage Crisis (Studies in Systems Decision and Control 86)

Advances in Automated Valuation Modeling: AVM After the Non-Agency Mortgage Crisis (Studies in Systems, Decision and Control Book 86)

by Lorita Clarke -Scott

5 out of 5

Language	:	English
File size	:	9410 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	599 pages

The use of AVMs has increased in recent years due to a number of factors, including the rising cost of traditional appraisals, the need for faster and more efficient valuation methods, and the increased availability of data. However, the use of AVMs has also raised a number of concerns, including the accuracy of the models, the potential for bias, and the lack of transparency in the modeling process.

This book provides a comprehensive overview of the state of AVMs after the non-agency mortgage crisis. The book examines the strengths and weaknesses of different modeling techniques, and it discusses the challenges involved in their use. The book also provides a number of recommendations for how to improve the accuracy and reliability of AVMs.

Chapter 1:

This chapter provides an overview of the book and its purpose. It discusses the importance of AVMs in the mortgage industry and the challenges involved in their use. The chapter also provides a brief history of the development of AVMs and the role that they played in the non-agency mortgage crisis.

Chapter 2: AVMs and the Non-Agency Mortgage Crisis

This chapter examines the role that AVMs played in the non-agency mortgage crisis. It discusses the strengths and weaknesses of the models that were used at the time and the factors that contributed to their failure. The chapter also discusses the lessons that can be learned from the crisis and the steps that can be taken to prevent a similar crisis from occurring in the future.

Chapter 3: The State of AVMs After the Crisis

This chapter provides an overview of the state of AVMs after the crisis. It discusses the changes that have been made to the models and the data that they use. The chapter also discusses the challenges that remain in the use of AVMs and the opportunities for future research.

Chapter 4: The Future of AVMs

This chapter discusses the future of AVMs. It discusses the trends that are driving the development of the models and the challenges that they will face in the years to come. The chapter also provides a number of recommendations for how to improve the accuracy and reliability of AVMs and ensure that they are used in a responsible manner.

This book provides a comprehensive overview of the state of AVMs after the non-agency mortgage crisis. It examines the strengths and weaknesses of different modeling techniques and the challenges involved in their use. The book also provides a number of recommendations for how to improve the accuracy and reliability of AVMs.

AVMs are a valuable tool for the mortgage industry, but they are not without their limitations. It is important to understand the strengths and weaknesses of the models and to use them in a responsible manner. By ng so, we can help to ensure that AVMs are used to make sound lending decisions and to protect consumers from financial harm.

Advances in Automated Valuation Modeling: AVM After the Non-Agency Mortgage Crisis (Studies in Systems, Decision and Control Book 86)

by Lorita Clarke -Scott

5 out of 5