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Equity portfolio management strategies
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Objective
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Outline
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Portfolio management style
Passive Buy and hold strategy, often known as indexing Active Continuos rebalancing
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Passive management Techniques Objective Approach
Full replication Issues: Transaction costs Sampling Issues: Tracking error Quadratic optimization Issues: Programming Completeness funds Issues: Special benchmark to complement active portfolio management Objective Match the return of a benchmark Approach Replicate the benchmark
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Active management Objective Issues
Outperform a passive benchmark portfolio on a risk adjusted basis Portfolio return > Benchmark return + transaction costs Issues Benchmark Measuring returns on a risk adjusted basis
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Themes in active portfolio management
Sector rotation Value vs. growth Earnings & price momentum Factors models Identify stocks that are sensitive to _________factors Long-short approach Screen & rank; buy the top, sell the bottom
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Style analysis Compare manager’s return to that of different styles of indices Grid style Regression analysis
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Style analysis: Grid style
Value Growth Small cap Large cap S&P 5000 Russel 1000 Wilshire 5000 TSE300 Russel midcap Nasdaq Joe B. Russel 2000
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Style analysis: Regression analysis
R = b1F1 + b2F2 + ….+ bjFj + …. + e Where: R = return on the portfolio under analysis bj = sensitivity of portfolio to style factor j Fj = return on a factor j style portfolio
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Style analysis: Regression interpretation
Look for (bj)s that are large and significant They reveal which factor style portfolios are similar to the portfolio under analysis
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Asset allocation strategies
Integrated asset allocation Strategic asset allocation Tactical asset allocation Insured asset allocation
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Integrated asset allocation
Evaluate and integrate: Capital market conditions Investor’s objectives & constraints
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Integrated asset allocation
Investor’s assets, liabilities, and net worth Capital market conditions Investor’s risk tolerance function Predictions Feedback Expected returns, risk, correlations Investor’s objectives Optimized portfolio: asset allocation & security selection Return evaluation & feedback
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Strategic asset allocation
Classical optimization: It results in a constant asset allocation mix Similar to integrated asset allocation, without a feedback loop Exemplification: Pension plans
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Tactical asset allocation
Assumption Mean reversion Aka. timing the market It’s a contrarian strategy: “Buy low, sell high”
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Insured asset allocation
Assumption Returns & risks constant over time, but investors change Switch between equity & cash to accommodate investor’s risk tolerance Similar to integrated asset allocation without feedback on the capital market side
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Evaluation of portfolio performance
Requirements of a good portfolio manager: Derive no less than average returns for a given risk-class (timing & security selection skills) Diversify away all non-systematic risk
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Approaches to measuring performance
Peer-group comparisons Treynor’s composite measure Shapre’s measure Jensen’s measure Fama’s approach Attribution analysis Market timing skills measurement
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Peer-group comparisons
Ranking can be random Most data tracks funds, not individual portfolio managers See also textbook
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Treynor’s composite measure
Comparison of risk premium per unit of relative risk Measure Ti = (Ri - Rf)/bi Benchmark Tm = (Rm - Rf)bm Issues Looks at performance only Uses realized returns
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Sharpe’s measure Comparison of risk premium per unit of absolute risk
Si = (Ri - Rf)/si Benchmark Sm = (Rm - Rf)sm Issues Looks at performance and diversification Uses realized returns
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Jensen’s measure Measures excess return (above and beyond that required by the market) (Ri - Rf) = a + (Rm - Rf)bi + e If a > 0 Portfolio earned more than the required rate If a < 0 Portfolio earned less than the required rate Issues Uses realized returns
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Fama’s approach Excess return = Portfolio risk + Selectivity
See also textbook
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Attribution analysis Attribute performance to: Selection
Tactical asset allocation (market timing) Allocation effect: [(wp - wb)stocks(Rbstocks - Rb)] + [(wp - wb) bonds(Rbbonds - Rb)] + … Selection effect: [wp(Rp - Rb)]stocks + [wp(Rp - Rb)]bonds + …
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Attribution analysis: Exemplification
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Attribution analysis: Exemplification
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Attribution analysis: Exemplification
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Attribution analysis: Exemplification
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Attribution analysis: Exemplification
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Attribution analysis: Exemplification
Portfolio return = (0.5)(9.7%) + (0.38)(9.1%) + (0.12)(5.65) = 8.98% Benchmark return = (0.6)(8.6%) + (0.3)(9.2%) + (0.1)(5.4) = 8.46% Allocation effect (-0.1)(8.6% %) + (0.08)(9.2%-8.46%) + (0.2)(5.4% ) = -0.02% Selection effect (0.5)(9.7% - 8.6%) + (0.38)(9.1% - 9.2%) + (0.12)(5.6% - 5.4%) = 0.54% Allocation effect + Selection effect = -0.02% % = 8.98% %
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Attribution analysis: Interpretation
Manager underperformed benchmark by 0.02% due to deviations from benchmark’s weight Manager outperformed the benchmark by 0.54%, due to its superior selection skills
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Measuring timing skills
Measure the effectiveness of switching between asset classes Having perfect timing skills (hindsight 20/20) is equivalent to owning a lookback option: At expiration, it pays the return of the best-performing asset class. Ri = Rf + max[(Rb- Rf), (Rst- Rf)] Regression measure: (Ri - Rf) = a + (Rb- Rf)bib + (Rst - Rf)bist + y max[(Rb- Rf), (Rst- Rf)] + e a = excess return y = proportion of the lookback option captured by manager
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Factors that affect performance measures
Knowing what is the true return generating process All the above measures are based on CAPM Finding the real market portfolio Changing the proxy for the market portfolio completely changes the ranking Accounting for manager’s style
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A question of benchmark
Portfolio managers have different objectives and styles. Wee need customized benchmarks.
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The making of a good benchmark
Unambiguous Investable Measurable Appropriate: Consistent with manager’s style Reflective of manager’s current investment opinions Specified in advance
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