17 However, in line with the previous discussion, instruments other than interest rates are likely to be much more effective in avoiding excessive credit growth and asset-price booms, and should thus be used as a first best alternative. Interest rates that are high enough to have a noticeable effect on credit growth and asset prices may have strong negative effects on inflation and resource utilization, and a central bank will probably rarely have sufficient information about the likely beneficial longer-horizon effects on inflation and resource utilization for the trade-off to be worthwhile and motivated. 18  16  Walsh (2009) points out that when financial factors cause distortions, these distortions will in general introduce corresponding terms in a loss function for monetary policy that is a second-order approximation to household welfare. Curdia and Woodford (2009) present a model where the second-order welfare approximation is a standard quadratic loss function of inflation and the output gap between output and potential output, but where potential output is affected by financial factors. Then inflation and the output gap remain the target variables, with and without financial factors. The neutral rate in the model, that is, the real rate consistent with output equal to potential output, is then also affected by financial factors. 17  Adrian and Shin (2007, 2009) argue, in a model with a risk-taking channel as in Borio and Zhu (2008), that short interest-rate movements may have considerable effects on the leverage of securities broker-dealers in the market-based financial sector outside the commercial-banking sector.

Sixth, data collection and aggregation by regulatory agencies must be accompanied by a process for making the data available to as great a degree as possible to fellow regulators, other government entities, and the public. There will, of course, be a need to protect proprietary and supervisory information, particularly where specific firm-based data are at issue. But the presumption should be in favor of making information widely available. Finally, any data collection and analysis effort must be attentive to its international dimensions and must seek appropriate participation from regulators in other nations, especially those with major financial centers. Financial activities and risk exposures are increasingly globalized. A system without a common detailed taxonomy for securities and counterparties and comparable requirements for reporting across countries would make assembling a meaningful picture of the exposures of global institutions very difficult. Efforts to improve data collection are already under way in the European Union, by the Bank of England and the Financial Services Authority, and the European Central Bank, which has expressed support for developing a unified international system of taxonomy and reporting. The Financial Stability Board, at the request of the G-20, is initiating an international effort to develop a common reporting template and a process to share information on common exposures and linkages between systemically important global financial institutions. Barriers to effective data collection for analysis Legislation will be needed to improve the ability of regulatory agencies to collect the necessary data to support effective supervision and systemic risk monitoring.