Systemic Risk Tomography :Signals, Measurement and Transmission Channels

Publication subTitle :Signals, Measurement and Transmission Channels

Author: Billio   Monica;Pelizzon   Loriana;Savona   Roberto  

Publisher: Elsevier Science‎

Publication year: 2016

E-ISBN: 9780081011768

P-ISBN(Paperback): 9781785480850

Subject: F0 Economics

Keyword: 财政、金融

Language: ENG

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Description

In April 2010 Europe was shocked by the Greek financial turmoil. At that time, the global financial crisis, which started in the summer of 2007 and reached systemic dimensions in September 2008 with the Lehman Brothers’ crash, took a new course. An adverse feedback loop between sovereign and bank risks reflected into bubble-like spreads, as if financial markets had received a wake-up call concerning the disregarded structural vulnerability of economies at risk. These events inspired the SYRTO project to “think and rethink” the economic and financial system and to conceive it as an “ensemble” of Sovereigns and Banks with other Financial Intermediaries and Corporations. Systemic Risk Tomography: Signals, Measurement and Transmission Channels proposes a novel way to explore the financial system by sectioning each part of it and analyzing all relevant inter-relationships. The financial system is inspected as a biological entity to identify the main risk signals and to provide the correct measures of prevention and intervention.

  • Explores the economic and financial system of Sovereigns, Banks, other Financial Intermediaries, and Corporations
  • Presents the financial system as a biological entity to be explored in order to identify the main risk signals and provide the right measures of prevention and interventions
  • Offers a new, systemic-based approach to construct a hierarchical, internally coherent framework to be used in developing an effective

Chapter

I.3. Systemic risk objectives

I.4. Some lessons we learned in studying systemic risks: the book content

I.5. Conclusion

PART 1 Risk Connections and Systemic Risk Indicators

1 Systemic Risk via Dynamic Correlations

1.1. Introduction

1.2. The problem

1.3. Review

1.4. The model of Dellaportas et al.

1.5. Estimation with nested Laplace approximations

1.6. Empirical studies

1.7. Conclusion

1.8. Bibliography

2 Systemic Risk and Financial Interconnectedness: Network Measures and the Impact of the Indirect Effect

2.1. Introduction

2.2. Methodology

2.3. The data

2.4. Empirical analysis

2.5. Conclusion

2.6. Acknowledgments

2.7. Bibliography

3 Are Critical Slowing Down Indicators Useful to Detect Financial Crises?

3.1. Introduction

3.2. Theory

3.3. Data and empirical application

3.4. Conclusion

3.5. Bibliography

PART 2 Early Warning System for Systemic Risk(s)

5 Score-driven Systemic Risk Signaling for European Sovereign Bond Yields and CDS Spreads

5.1. Introduction

5.2. Score-driven systemic risk models

5.3. Data

5.4. Empirical results

5.5. Conclusion

5.6. Bibliography

6 Model-based Business Cycle and Financial Cycle Decomposition for Europe and the United States

6.1. Introduction

6.2. Data

6.3. Multivariate unobserved components model

6.4. Results of empirical study

6.5. Conclusion

6.6. Bibliography

7 Danger Zones for the Financial System

7.1. Introduction

7.2. Risk stratification: from regression trees to ensemble learning

7.3. Implementing an early warning system

7.4. Conclusion

7.5. Bibliography

8 Risk Monitoring Systems in Real-time Based on Dynamic Factor Models

8.1. Introduction

8.2. Systemic risks: definitions and measurement

8.3. The model

8.4. Estimation and forecasting

8.5. Identification and stress testing

8.6. Implementation

8.7. Conclusion

8.8. Appendix A: tables and figures

8.9. Appendix B: list of variables

8.10. Bibliography

PART 3 Policy Implications

9 Policy Lessons from Systemic Risk Modeling and Measurement

9.1. Introduction

9.2. Prevention

9.3. Mitigation

9.4. Stabilization

9.5. Conclusion

9.6. Bibliography

List of Authors

Index

Back Cover

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