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E-raamat: Risk Topography: Systemic Risk and Macro Modeling

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Bringing together the work of leading academic researchers, central bankers, and other financial market experts, Risk Topography explores ideas on advancing measurement and macroeconomic modeling to face these challenges. This book is particularly focused on measures that highlight vulnerabilities that make the economy susceptible to adverse feedback loops, liquidity spirals and perilous mechanisms. While these types of vulnerabilities have often been identified, they have not been systematically measured. Chapters also address how policymakers should think about measurement of a financial world of increasing complexity and uncertainty, and what the tradeoffs are in making measured data public. Additionally, the book offers explicit measurement strategies that can be implemented either immediately or very soon. Risk Topography will be an invaluable resource for regulators working to improve current measurement systems, as well as academics that plan to conceptualize effective measurement.


The recent financial crisis and the difficulty of using mainstream macroeconomic models to accurately monitor and assess systemic risk have stimulated new analyses of how we measure economic activity and the development of more sophisticated models in which the financial sector plays a greater role.

Markus Brunnermeier and Arvind Krishnamurthy have assembled contributions from leading academic researchers, central bankers, and other financial-market experts to explore the possibilities for advancing macroeconomic modeling in order to achieve more accurate economic measurement. Essays in this volume focus on the development of models capable of highlighting the vulnerabilities that leave the economy susceptible to adverse feedback loops and liquidity spirals. While these types of vulnerabilities have often been identified, they have not been consistently measured. In a financial world of increasing complexity and uncertainty, this volume is an invaluable resource for policymakers working to improve current measurement systems and for academics concerned with conceptualizing effective measurement.
Acknowledgments xi
Introduction 1(14)
Markus Brunnermeier
Arvind Krishnamurthy
I Measurement and Disclosure
1 Challenges in Identifying and Measuring Systemic Risk
15(16)
Lars Peter Hansen
2 Regulating Systemic Risk through Transparency: Trade-Offs in Making Data Public
31(16)
Augustin Landier
David Thesmar
II Risk Exposures
3 Systemic Risk Exposures: A 10-by-10-by-10 Approach
47(10)
Darrell Duffie
4 Remapping the Flow of Funds
57(8)
Juliane Begenau
Monika Piazzesi
Martin Schneider
5 Measuring Margin
65(18)
Robert L. McDonald
6 A Transparency Standard for Derivatives
83(16)
Viral V. Acharya
III Liquidity and Leverage
7 Liquidity Mismatch Measurement
99(14)
Markus Brunnermeier
Gary Gorton
Arvind Krishnamurthy
8 Monitoring Leverage
113(18)
John Geanakoplos
Lasse Heje Pedersen
IV Financial Intermediation and Credit
9 Repo and Securities Lending
131(18)
Tobias Adrian
Brian Begalle
Adam Copeland
Antoine Martin
10 Improving Our Ability to Monitor Bank Lending
149(14)
William F. Bassett
Simon Gilchrist
Gretchen C. Weinbach
Egon Zakrajsek
11 The Case for a Credit Registry
163(12)
Atif Mian
V Household Sector
12 Monitoring the Financial Condition and Expenditures of Households
175(8)
Robert E. Hall
13 LEADS on Macroeconomic Risks to and from the Household Sector
183(22)
Jonathan A. Parker
14 Detecting "Bad" Leverage
205(10)
Amir Sufi
VI Corporate Sector
15 A Macroeconomist's Wish List of Financial Data
215(20)
V. V. Chari
VII International Sector
16 Systemic Risks in Global Banking: What Available Data Can Tell Us and What More Data Are Needed?
235(26)
Eugenio Cerutti
Stijn Claessens
Patrick McGuire
Contributors 261(4)
Author Index 265(4)
Subject Index 269
Markus Brunnermeier is the Edwards S. Sanford Professor of Economics at Princeton University and a research associate of the NBER. Arvind Krishnamurthy is the Harold L. Stuart Professor of Finance in the Kellogg School of Management at Northwestern University and a research associate of the NBER.