Paper Info
Title
Data Science Challenges in Real Estate Asset and Capital Markets
Abstract
The real estate financial markets are complex supply chains. Understanding their behavior is limited by a lack of data that would capture the richly interconnected networks of financial institutions and complex financial products, e.g., asset backed securities. This lack of transparency is further compounded by limited knowledge of the contractual rules that control the flow of funds from mortgage pools to securities, as well as the financial events that regulate these flows. In this project, we will use the IBM Midas framework and tools to extract entities, relationships, events, contractual rules and risk profiles for financial institutions. Our source of information will be the MBS prospectus documents that are public and are filed with the Securities and Exchange Commission. We will describe the data management needs of the Haas Real Estate and Financial Markets (REFM) Lab and presents some recent REFM analytics that highlight the importance of these markets and the impact on systemic risk. We use excerpts extracted from the prospectus of a mortgage backed security (MBS) to illustrate the information extraction challenges and outline our approach to address these challenges.
Year
DOI
Venue
2014
10.1145/2630729.2630738
DSMM
Keywords
Field
DocType
entity resolution,capital markets,information extraction,contractual clauses,real estate asset,mortgage backed security,data science
Systemic risk,Commercial mortgage-backed security,Real estate,Capital market,Financial services,Mortgage-backed security,Finance,Financial market,Prospectus,Business
Conference
Citations 
PageRank 
References 
3
0.50
1
Authors
8
Name
Order
Citations
PageRank
Douglas Burdick122618.54
Michael J. Franklin2174231681.10
Paulo Issler330.50
Rajasekar Krishnamurthy4121471.86
Lucian Popa531.18
Louiqa Raschid61522417.56
Richard Stanton741.19
Nancy Wallace830.50