Here, I present and discuss a "10-by-10-by-10" network-based approach to monitoring systemic financial risk. Under this approach, a regulator would analyze the exposures of a core group of systemically important financial firms to a list of stressful scenarios, say 10 in number. For each scenario, about 10 such designated firms would report their gains or losses. Each reporting firm would also provide the identities of the 10, say, counterparties with whom the gain or loss for that scenario is the greatest in magnitude relative to all counterparties. The gains or losses with each of those 10 counterparties would also be reported, scenario by scenario. Gains and losses would be measured in terms of market value and also in terms of cash flow, allowing regulators to assess risk magnitudes in terms of stresses to both economic values and also liquidity. Exposures would be measured before and after collateralization. One of the scenarios would be the failure of a counterparty. The top ten counterparties for this scenario would therefore be those whose defaults cause the greatest losses to the reporting firm. In eventual practice, the number of reporting firms, the number of stress scenarios, and the number of major counterparties could all exceed 10, but it is reasonable to start with a small reporting system until the approach is better understood and agreed upon internationally.
