1 / 36

Equity portfolio management strategies

Equity portfolio management strategies. Objective. Outline. Portfolio management style. Passive Buy and hold strategy, often known as indexing Active Continuos rebalancing. Objective Match the return of a benchmark Approach Replicate the benchmark. Techniques Full replication

Download Presentation

Equity portfolio management strategies

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Equity portfolio management strategies

  2. Objective

  3. Outline

  4. Portfolio management style • Passive • Buy and hold strategy, often known as indexing • Active • Continuos rebalancing

  5. Objective Match the return of a benchmark Approach Replicate the benchmark Techniques Full replication Issues: Transaction costs Sampling Issues: Tracking error Quadratic optimization Issues: Programming Completeness funds Issues: Special benchmark to complement active portfolio management Passive management

  6. Active management • Objective • 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

  7. 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

  8. Style analysis • Compare manager’s return to that of different styles of indices • Grid style • Regression analysis

  9. Large cap Small cap Value Growth Style analysis: Grid style S&P 5000 Russel 1000 Wilshire 5000 TSE300 Russel midcap Nasdaq Joe B. Russel 2000

  10. 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

  11. 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

  12. Asset allocation strategies • Integrated asset allocation • Strategic asset allocation • Tactical asset allocation • Insured asset allocation

  13. Integrated asset allocation • Evaluate and integrate: • Capital market conditions • Investor’s objectives & constraints

  14. Investor’s risk tolerance function Investor’s objectives Predictions Expected returns, risk, correlations Optimized portfolio: asset allocation & security selection Feedback Feedback Return evaluation & feedback Integrated asset allocation Investor’s assets, liabilities, and net worth Capital market conditions

  15. 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

  16. Tactical asset allocation • Assumption • Mean reversion • Aka. timing the market • It’s a contrarian strategy: • “Buy low, sell high”

  17. 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

  18. 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

  19. 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

  20. Peer-group comparisons • Ranking can be random • Most data tracks funds, not individual portfolio managers • See also textbook

  21. 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

  22. Sharpe’s measure • Comparison of risk premium per unit of absolute risk • Measure • Si = (Ri - Rf)/si • Benchmark • Sm = (Rm - Rf)sm • Issues • Looks at performance and diversification • Uses realized returns

  23. 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

  24. Fama’s approach • Excess return = Portfolio risk + Selectivity • See also textbook

  25. 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 + …

  26. Attribution analysis: Exemplification

  27. Attribution analysis: Exemplification

  28. Attribution analysis: Exemplification

  29. Attribution analysis: Exemplification

  30. Attribution analysis: Exemplification

  31. 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% -8.46%) + (0.08)(9.2%-8.46%) + (0.2)(5.4% - 8.465) = -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% + 0.54% = 8.98% - 8.46%

  32. 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

  33. 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

  34. 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

  35. A question of benchmark • Portfolio managers have different objectives and styles. • Wee need customized benchmarks.

  36. 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

More Related