Stochastic dominance tests
In: Journal of economic dynamics & control, Band 112, S. 103849
ISSN: 0165-1889
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In: Journal of economic dynamics & control, Band 112, S. 103849
ISSN: 0165-1889
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In: Swiss Finance Institute Research Paper No. 20-18
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In: Bank of Greece Working Paper No. 244
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Abstract Using a stress test methodology for bank liquidity risk we estimate the aggregate liquidity shortfall in the U.S. commercial banking system at the height of 2007–09 crisis, identifying key sources of funding vulnerabilities and the dominant composition of liquid asset holdings against liquidity shocks. The largest liquidity shocks to the system are estimated in the first half of the crisis, in line with Acharya and Mora (2015). Large banks experience the largest liquidity shortfall in 2008:Q1 ($154 billion or 14% of total assets) and small banks in 2007:Q4 ($117 billion or 11% of total assets). The dominant funding vulnerability to the system stems from large time deposits, while government securities largely dominate other classes of liquid assets as liquidity backstop. The analysis draws on detailed bank-level data on balance sheet flows of funds and applies stochastic dominance efficiency methods to capture liquidity risk diversification effects across assets and liabilities.
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An optimal weighting scheme is proposed to construct economic, political and financial risk indices in emerging markets using an approach that relies on consistent tests for stochastic dominance efficiency. These tests are considered for a given risk index with respect to all possible indices constructed from a set of individual risk factors. The test statistics and the estimators are computed using mixed integer programming methods. We derive an economic, political and financial risk ranking of emerging countries. Finally, an overall risk index is constructed. One main result is that the financial risk is the leading contributor to sovereign risk in emerging markets followed by the economic and political risks.
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