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OFR_2016_Financial-Stability-Report

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of magnitude. Unlike residential mortgages, the risks cannot be captured by<br />

a small number of uniform factors.<br />

Loan-level data are available for commercial mortgages that are securitized<br />

into mortgage-backed securities with public offerings. Those data<br />

are collected and sold by private entities, and regulators may buy the data.<br />

Bank regulators also collect loan-level data on many multifamily loans and<br />

on loans from banks that take part in Federal Reserve stress testing. Insurers<br />

also report loan-level information to their regulator.<br />

But loan-level data are not collected about other commercial mortgages,<br />

including whole loans held by real estate investment trusts and smaller<br />

banks not subject to stress testing. In recent years, the share of loans subject<br />

to loan-level collection has decreased as securitization markets have lost<br />

market share and credit risk has shifted to smaller banks.<br />

Data Management Presents Evolving Challenges<br />

Data management practices at individual firms can contribute to risks across<br />

the financial system. During the financial crisis, complex financial firms<br />

were unable to assess risks due to poor data quality and data management<br />

systems (see BIS, 2015). Data management practices may threaten finanscial<br />

stability when new interconnections create new and complex tasks of<br />

integrating data from many sources. Existing processes may also be overwhelmed<br />

by “big data.”<br />

Interconnections and Interactions<br />

Data management problems can hinder regulators’ efforts to understand<br />

interconnections and interactions among companies.<br />

Collecting Data for Living Wills. The Dodd-Frank Act mandates a new<br />

framework for planning for unwinding a failing financial institution. The<br />

Act requires systemically important banks, insurers, and other designated<br />

firms to submit a living will for orderly resolution in the event of failure.<br />

Living wills introduce a novel set of data-related challenges. For example,<br />

the law requires systemically important institutions to maintain detailed<br />

records of qualified financial contracts (QFCs). QFCs generally include<br />

derivatives, repos, and securities lending agreement. Under the Treasury’s<br />

final rule, firms have to be capable of providing their QFC records within<br />

24 hours of request (see Treasury, <strong>2016</strong>).<br />

The wind down of a systemically important institution would require<br />

regulators to create unprecedented processes to take in and analyze large<br />

volumes of diverse data. Failures of large institutions are rare, but extricating<br />

a large company from the financial system must happen quickly — within a<br />

trading day or over a weekend. Fast, accurate identification of counterparties<br />

Data management<br />

practices may threaten<br />

financial stability when<br />

new interconnections<br />

create new and complex<br />

tasks of integrating data<br />

from many sources.<br />

Existing processes may<br />

also be overwhelmed by<br />

“big data.”<br />

Key Threats to <strong>Financial</strong> <strong>Stability</strong> 87

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