Econometric Measures of Systemic Risk in the Finance and Insurance Sectors
We propose several econometric measures of systemic risk to capture the interconnectedness among the monthly returns of hedge funds, banks, brokers, and insurance companies based on principal components analysis and Granger-causality tests. We find that all four sectors have become highly interrelat...
Gespeichert in:
Veröffentlicht in: | NBER Working Paper Series 2010-07, p.16223 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 16223 |
container_title | NBER Working Paper Series |
container_volume | |
creator | Billio, Monica Lo, Andrew W Getmansky Sherman, Mila Pelizzon, Loriana |
description | We propose several econometric measures of systemic risk to capture the interconnectedness among the monthly returns of hedge funds, banks, brokers, and insurance companies based on principal components analysis and Granger-causality tests. We find that all four sectors have become highly interrelated over the past decade, increasing the level of systemic risk in the finance and insurance industries. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power for the current financial crisis. Our results suggest that hedge funds can provide early indications of market dislocation, and systemic risk arises from a complex and dynamic network of relationships among hedge funds, banks, insurance companies, and brokers. |
doi_str_mv | 10.3386/w16223 |
format | Article |
fullrecord | <record><control><sourceid>proquest_econi</sourceid><recordid>TN_cdi_proquest_journals_1687818352</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><nber_id>w16223</nber_id><sourcerecordid>3713684321</sourcerecordid><originalsourceid>FETCH-LOGICAL-e722-334a98cc6d862af1526b8e70eb8220048c12052d05e8f688e4a1b3b6b164a26d3</originalsourceid><addsrcrecordid>eNo90MFOwzAMBuAcQGIMeABOkTgXEidN3SOaNhgaQmK7V2nqig6ajqQV2ttTKOJk2fpkyz9jV1LcKoXm7ksaAHXCZgJzTCBX2Rk7j3EvBCAKOWNPS9f5rqU-NI4_k41DoMi7mm-Psad2HL428Z03nvdvxFeNt94Rt77iaz_a325Lru9CvGCntf2IdPlX52y3Wu4Wj8nm5WG9uN8klAEkSmmbo3OmQgO2limYEikTVCKAEBqdBJFCJVLC2iCStrJUpSml0RZMpebsZlp7CN3nQLEv9t0Q_HixkAYzlKhSGBWfFI3_NbE4hKa14VhIoY3RSskfcj0RX1L4B1Ni6ht-S1y1</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1687818352</pqid></control><display><type>article</type><title>Econometric Measures of Systemic Risk in the Finance and Insurance Sectors</title><source>National Bureau of Economic Research Publications</source><source>Alma/SFX Local Collection</source><creator>Billio, Monica ; Lo, Andrew W ; Getmansky Sherman, Mila ; Pelizzon, Loriana</creator><creatorcontrib>Billio, Monica ; Lo, Andrew W ; Getmansky Sherman, Mila ; Pelizzon, Loriana</creatorcontrib><description>We propose several econometric measures of systemic risk to capture the interconnectedness among the monthly returns of hedge funds, banks, brokers, and insurance companies based on principal components analysis and Granger-causality tests. We find that all four sectors have become highly interrelated over the past decade, increasing the level of systemic risk in the finance and insurance industries. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power for the current financial crisis. Our results suggest that hedge funds can provide early indications of market dislocation, and systemic risk arises from a complex and dynamic network of relationships among hedge funds, banks, insurance companies, and brokers.</description><identifier>ISSN: 0898-2937</identifier><identifier>DOI: 10.3386/w16223</identifier><language>eng</language><publisher>Cambridge, Mass: National Bureau of Economic Research</publisher><subject>Asset Pricing ; Banks ; Brokers ; Causality ; Econometrics ; Economic crisis ; Economic theory ; Economics ; Government sponsored enterprises ; Hedge funds ; Insurance companies ; Liquidity ; Monte Carlo simulation ; Principal components analysis ; Regulation of financial institutions ; Regulatory reform</subject><ispartof>NBER Working Paper Series, 2010-07, p.16223</ispartof><rights>Copyright National Bureau of Economic Research, Inc. Jul 2010</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780,27904</link.rule.ids></links><search><creatorcontrib>Billio, Monica</creatorcontrib><creatorcontrib>Lo, Andrew W</creatorcontrib><creatorcontrib>Getmansky Sherman, Mila</creatorcontrib><creatorcontrib>Pelizzon, Loriana</creatorcontrib><title>Econometric Measures of Systemic Risk in the Finance and Insurance Sectors</title><title>NBER Working Paper Series</title><description>We propose several econometric measures of systemic risk to capture the interconnectedness among the monthly returns of hedge funds, banks, brokers, and insurance companies based on principal components analysis and Granger-causality tests. We find that all four sectors have become highly interrelated over the past decade, increasing the level of systemic risk in the finance and insurance industries. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power for the current financial crisis. Our results suggest that hedge funds can provide early indications of market dislocation, and systemic risk arises from a complex and dynamic network of relationships among hedge funds, banks, insurance companies, and brokers.</description><subject>Asset Pricing</subject><subject>Banks</subject><subject>Brokers</subject><subject>Causality</subject><subject>Econometrics</subject><subject>Economic crisis</subject><subject>Economic theory</subject><subject>Economics</subject><subject>Government sponsored enterprises</subject><subject>Hedge funds</subject><subject>Insurance companies</subject><subject>Liquidity</subject><subject>Monte Carlo simulation</subject><subject>Principal components analysis</subject><subject>Regulation of financial institutions</subject><subject>Regulatory reform</subject><issn>0898-2937</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>NBR</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNo90MFOwzAMBuAcQGIMeABOkTgXEidN3SOaNhgaQmK7V2nqig6ajqQV2ttTKOJk2fpkyz9jV1LcKoXm7ksaAHXCZgJzTCBX2Rk7j3EvBCAKOWNPS9f5rqU-NI4_k41DoMi7mm-Psad2HL428Z03nvdvxFeNt94Rt77iaz_a325Lru9CvGCntf2IdPlX52y3Wu4Wj8nm5WG9uN8klAEkSmmbo3OmQgO2limYEikTVCKAEBqdBJFCJVLC2iCStrJUpSml0RZMpebsZlp7CN3nQLEv9t0Q_HixkAYzlKhSGBWfFI3_NbE4hKa14VhIoY3RSskfcj0RX1L4B1Ni6ht-S1y1</recordid><startdate>20100701</startdate><enddate>20100701</enddate><creator>Billio, Monica</creator><creator>Lo, Andrew W</creator><creator>Getmansky Sherman, Mila</creator><creator>Pelizzon, Loriana</creator><general>National Bureau of Economic Research</general><general>National Bureau of Economic Research, Inc</general><scope>CZO</scope><scope>MPB</scope><scope>NBR</scope><scope>XD6</scope><scope>OQ6</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20100701</creationdate><title>Econometric Measures of Systemic Risk in the Finance and Insurance Sectors</title><author>Billio, Monica ; Lo, Andrew W ; Getmansky Sherman, Mila ; Pelizzon, Loriana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e722-334a98cc6d862af1526b8e70eb8220048c12052d05e8f688e4a1b3b6b164a26d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Asset Pricing</topic><topic>Banks</topic><topic>Brokers</topic><topic>Causality</topic><topic>Econometrics</topic><topic>Economic crisis</topic><topic>Economic theory</topic><topic>Economics</topic><topic>Government sponsored enterprises</topic><topic>Hedge funds</topic><topic>Insurance companies</topic><topic>Liquidity</topic><topic>Monte Carlo simulation</topic><topic>Principal components analysis</topic><topic>Regulation of financial institutions</topic><topic>Regulatory reform</topic><toplevel>online_resources</toplevel><creatorcontrib>Billio, Monica</creatorcontrib><creatorcontrib>Lo, Andrew W</creatorcontrib><creatorcontrib>Getmansky Sherman, Mila</creatorcontrib><creatorcontrib>Pelizzon, Loriana</creatorcontrib><collection>NBER Working Papers</collection><collection>NBER</collection><collection>National Bureau of Economic Research Publications</collection><collection>NBER Technical Working Papers Archive</collection><collection>ECONIS</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Billio, Monica</au><au>Lo, Andrew W</au><au>Getmansky Sherman, Mila</au><au>Pelizzon, Loriana</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Econometric Measures of Systemic Risk in the Finance and Insurance Sectors</atitle><jtitle>NBER Working Paper Series</jtitle><date>2010-07-01</date><risdate>2010</risdate><spage>16223</spage><pages>16223-</pages><issn>0898-2937</issn><abstract>We propose several econometric measures of systemic risk to capture the interconnectedness among the monthly returns of hedge funds, banks, brokers, and insurance companies based on principal components analysis and Granger-causality tests. We find that all four sectors have become highly interrelated over the past decade, increasing the level of systemic risk in the finance and insurance industries. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power for the current financial crisis. Our results suggest that hedge funds can provide early indications of market dislocation, and systemic risk arises from a complex and dynamic network of relationships among hedge funds, banks, insurance companies, and brokers.</abstract><cop>Cambridge, Mass</cop><pub>National Bureau of Economic Research</pub><doi>10.3386/w16223</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0898-2937 |
ispartof | NBER Working Paper Series, 2010-07, p.16223 |
issn | 0898-2937 |
language | eng |
recordid | cdi_proquest_journals_1687818352 |
source | National Bureau of Economic Research Publications; Alma/SFX Local Collection |
subjects | Asset Pricing Banks Brokers Causality Econometrics Economic crisis Economic theory Economics Government sponsored enterprises Hedge funds Insurance companies Liquidity Monte Carlo simulation Principal components analysis Regulation of financial institutions Regulatory reform |
title | Econometric Measures of Systemic Risk in the Finance and Insurance Sectors |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T11%3A00%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_econi&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Econometric%20Measures%20of%20Systemic%20Risk%20in%20the%20Finance%20and%20Insurance%20Sectors&rft.jtitle=NBER%20Working%20Paper%20Series&rft.au=Billio,%20Monica&rft.date=2010-07-01&rft.spage=16223&rft.pages=16223-&rft.issn=0898-2937&rft_id=info:doi/10.3386/w16223&rft_dat=%3Cproquest_econi%3E3713684321%3C/proquest_econi%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1687818352&rft_id=info:pmid/&rft_nber_id=w16223&rfr_iscdi=true |