%0 Journal Article %1 Billio2012Econometric %A Billio, Monica %A Getmansky, Mila %A Lo, Andrew W. %A Pelizzon, Loriana %D 2012 %J Journal of Financial Economics %K time-series banks systemic-risk insurers econometrics %N 3 %P 535--559 %R 10.1016/j.jfineco.2011.12.010 %T Econometric measures of connectedness and systemic risk in the finance and insurance sectors %U http://dx.doi.org/10.1016/j.jfineco.2011.12.010 %V 104 %X We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over the past decade, likely increasing the level of systemic risk in the finance and insurance industries through a complex and time-varying network of relationships. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power in out-of-sample tests. Our results show an asymmetry in the degree of connectedness among the four sectors, with banks playing a much more important role in transmitting shocks than other financial institutions.

@article{Billio2012Econometric, abstract = {{We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over the past decade, likely increasing the level of systemic risk in the finance and insurance industries through a complex and time-varying network of relationships. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power in out-of-sample tests. Our results show an asymmetry in the degree of connectedness among the four sectors, with banks playing a much more important role in transmitting shocks than other financial institutions.}}, added-at = {2019-06-10T14:53:09.000+0200}, author = {Billio, Monica and Getmansky, Mila and Lo, Andrew W. and Pelizzon, Loriana}, biburl = {https://www.bibsonomy.org/bibtex/293a409d207395a87def2cc67675fce16/nonancourt}, citeulike-article-id = {10439117}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.jfineco.2011.12.010}, doi = {10.1016/j.jfineco.2011.12.010}, interhash = {71c66bb931f0fad08c2d89c71170e9b9}, intrahash = {93a409d207395a87def2cc67675fce16}, issn = {0304405X}, journal = {Journal of Financial Economics}, keywords = {time-series banks systemic-risk insurers econometrics}, month = jun, number = 3, pages = {535--559}, posted-at = {2017-08-16 10:44:51}, priority = {2}, timestamp = {2019-08-01T16:18:55.000+0200}, title = {{Econometric measures of connectedness and systemic risk in the finance and insurance sectors}}, url = {http://dx.doi.org/10.1016/j.jfineco.2011.12.010}, volume = 104, year = 2012 }