Oswaldo Cruz Foundation (FIOCRUZ) - Gonçalo Moniz Institute (IGM)
Date Written: July 1, 2017
Abstract
Capturing financial network linkages and contagion in stress test models are important goals for banking supervisors and central banks responsible for micro- and macroprudential policy. However, granular data on financial networks is often lacking, and instead the networks must be reconstructed from partial data. In this paper, we conduct a horse race of network reconstruction methods using network data obtained from 25 different markets spanning 13 jurisdictions. Our contribution is two-fold: first, we collate and analyze data on a wide range of financial networks. And second, we rank the methods in terms of their ability to reconstruct the structures of links and exposures in networks.
Anand, Kartik and van Lelyveld, Iman and Banai, Ádám and Friedrich, Soeren and Garratt, Rodney and Hałaj, Grzegorz and Fique, Jose and Hansen, Ib and Jaramillo, Serafín Martínez and Lee, Hwayun and Molina-Borboa, José Luis and Nobili, Stefano and Rajan, Sriram and Salakhova, Dilyara and Silvestri, Laura and Stancato, Sergio Rubens and Cerqueira-Silva, Thiago, The Missing Links: A Global Study on Uncovering Financial Network Structures from Partial Data (July 1, 2017). ESRB: Working Paper Series No. 2017/51, Available at SSRN: https://ssrn.com/abstract=3723398 or http://dx.doi.org/10.2139/ssrn.3723398
Subscribe to this free journal for more curated articles on this topic
FOLLOWERS
238
PAPERS
175
Feedback
Feedback to SSRN
If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday.