Furthermore, we are collecting data on banks’ trading and securitization risk exposures as part of an ongoing, internationally coordinated effort to improve regulatory capital standards in these areas. Moreover, analysis of liquidity risk now incorporates more explicitly the possibility of marketwide shocks to liquidity. This effort also is an example of the importance of context and the need to understand the firms’ internal risk models and risk-management systems in designing data collection requirements. Data that only capture a set of positions would not be sufficient since positions would not incorporate behavioral assumptions about firms, based on information about firms’ business models and practices. The Federal Reserve’s responsibilities for monetary policy are also relevant for systemic risk monitoring. Systemic risk involves the potential for financial crises to result in substantial adverse effects on economic activity. As the nation’s central bank, the Federal Reserve assesses and forecasts the U.S. and global economies using a wide variety of data and analytical tools, some based on specific sectors and others on large-scale models. In the wake of the crisis, research has been expanded to better understand the channels from the financial sector to the real economy. For example, building on lessons from the recent crisis, the Federal Reserve added questions to the Survey of Professional Forecasters to elicit from private-sector forecasters their subjective probabilities of forecasts of key macroeconomic variables, which provides to us, and to the public, better assessments of the likelihood of severe macroeconomic outcomes.

It might also have the advantage of fostering an overall assessment of financial data needs for all governmental purposes. However, there would also be some substantial disadvantages to running comprehensive financial data collection through a separate independent agency established for this purpose. A new agency would entail additional budget costs because the agency would likely need to replicate many of the activities of the regulatory agencies in order to determine what data are needed. More importantly, because it would not be involved directly in supervision or market monitoring, such an agency would be hampered in its ability to understand the types of information needed to effectively monitor systemic risks and conduct macro-prudential supervision. Data collection and analysis are not done in a vacuum; an agency’s duties will inevitably reflect the priorities, experience, and interests of the collecting entity. Even regular arms-length consultations among agencies might not be effective, because detailed appreciation of the regulatory context within which financial activities that generate data and risks is needed. The separation of data collection and regulation could also dilute accountability if supervisors did not have authority to shape the form and scope of reporting requirements by regulated entities in accordance with supervisory needs. An alternative organizational approach would be available if the Congress creates a council of financial regulators to monitor systemic risks and help coordinate responses to emerging threats, such as that contemplated in a number of legislative proposals.