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Portfolio Construction
New York University/ING Barings The Capital Markets: Portfolio Construction Prof. Ian Giddy New York University
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Case Study: A Portfolio
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Portfolio Return Computation
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Portfolio Risk Computation
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To Find the Risk-Return Possibilities, Vary the Proportions
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The Minimum-Variance Frontier of Risky Assets
“Efficient frontier” Individual assets Global minimum-variance portfolio
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Risk Bond Risk Market Risk Credit Risk
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Bond Credit Ratings
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Credit Risk versus Market Risk
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CreditMetrics Methodology
Establishes the exposure profile of each obligor in a portfolio. Computes the volatility in value of each instrument caused by possible upgrades, downgrades, and defaults. Taking into account correlations between each of these events, it combines the volatility of the individual instruments to give an aggregate portfolio volatility.
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CreditMetrics Roadmap
Exposures Value-at-risk due to credit Correlations Compute exposure profile of each asset Compute the volatility of value caused by upgrades/downgrades and defaults Compute correlations Portfolio value-at-risk due to credit
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Volatilities from “Transition Matrix”
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Construction of Volatility Across Credit Horizons
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Defaults and Recovery Rates
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A Picture of a BBB Bond’s Value Distribution
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Calculating Mean and Standard Deviation
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CreditMetrics
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www.giddy.org Ian Giddy NYU Stern School of Business
Tel ; Fax
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