New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability

D. Gray, Z. Bodie, R. C. Merton
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引用次数: 221

Abstract

This paper proposes a new approach to improve the way central banks can analyze and manage the financial risks of a national economy. It is based on the modern theory and practice of contingent claims analysis (CCA), which is successfully used today at the level of individual banks by managers, investors, and regulators. The basic analytical tool is the risk-adjusted balance sheet, which shows the sensitivity of the enterprise's assets and liabilities to external "shocks." At the national level, the sectors of an economy are viewed as interconnected portfolios of assets, liabilities, and guarantees -- some explicit and others implicit. Traditional approaches have difficulty analyzing how risks can accumulate gradually and then suddenly erupt in a full-blown crisis. The CCA approach is well-suited to capturing such "non-linearities" and to quantifying the effects of asset-liability mismatches within and across institutions. Risk-adjusted CCA balance sheets facilitate simulations and stress testing to evaluate the potential impact of policies to manage systemic risk.
衡量和管理宏观金融风险与金融稳定的新框架
本文提出了一种改进中央银行分析和管理国民经济金融风险的新方法。它是基于现代理论和实践的或有债权分析(CCA),这是今天成功地使用在个别银行的管理者,投资者和监管机构的水平。最基本的分析工具是风险调整后的资产负债表,它反映了企业资产负债对外部“冲击”的敏感性。在国家层面上,经济部门被视为相互关联的资产、负债和担保组合——有些是显性的,有些是隐性的。传统方法难以分析风险是如何逐渐积累,然后突然爆发成全面危机的。CCA方法非常适合于捕捉这种“非线性”,以及量化机构内部和机构之间资产负债错配的影响。风险调整后的CCA资产负债表有助于模拟和压力测试,以评估管理系统性风险的政策的潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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