The Bank of Canada’s annual conference, held in October 2010, brought together leading researchers from universities and central banks around the world.
Some evidence points to the procyclicality of leverage among financial institutions leading to aggregate volatility. This procyclicality occurs when financial institutions finance their assets with non-equity funding (i.e., debt financed asset expansions). Wholesale funding is an important source of market-based funding that allows some institutions to quickly adjust their leverage.
The recent crisis has underlined the importance of sound bank liquidity management. In response, regulators are devising new liquidity standards with the aim of making the financial system more stable and resilient. In this paper, the authors analyse the impact of liquid asset holdings on bank profitability for a sample of large U.S. and Canadian banks.
We offer a multi-period systemic risk assessment framework with which to assess recent liquidity and capital regulatory requirement proposals in a holistic way.
We present a model of central bank collateralized lending to study the optimal choice of the haircut policy. We show that a lending facility provides a bundle of two types of insurance: insurance against liquidity risk as well as insurance against downside risk of the collateral.
This paper presents a dynamic general equilibrium model where asymmetric information about asset quality leads to asset illiquidity. Banking arises endogenously in this environment as banks can pool illiquid assets to average out their idiosyncratic qualities and issue liquid liabilities backed by pooled assets whose total quality is public information.
The authors examine whether monetary policy should and could do more to lean against financial imbalances (such as those associated with asset-price bubbles or unsustainable credit expansion) as they are building up, or whether its role should be limited to cleaning up the economic consequences as the imbalances unwind.
Based on a new approach for measuring the comovements between stock market returns, we provide a nonparametric test for asymmetric comovements in the sense that stock market downturns will lead to stronger comovements than market upturns.