Active or Passive? Issues and Strategies - PowerPoint PPT Presentation

1 / 23
About This Presentation
Title:

Active or Passive? Issues and Strategies

Description:

A theoretical model of active portfolio management (Treynor-Black) ... BARRA research indicates that an IR of 1.0 is in the 90th percentile (-1.0 is ... – PowerPoint PPT presentation

Number of Views:38
Avg rating:3.0/5.0
Slides: 24
Provided by: paulbo7
Category:

less

Transcript and Presenter's Notes

Title: Active or Passive? Issues and Strategies


1
Active or Passive? Issues and Strategies
  • Market Efficiency
  • Anomalies
  • Market Timing
  • A theoretical model of active portfolio
    management (Treynor-Black)
  • Quantitative Investment Management

2
Equity Portfolio Management Active or Passive?
3
Equity Portfolio Management Active or Passive?
  • Passive
  • LT buy and hold
  • Indexation
  • Replication of an index (broad or specialized
  • Sampling and Tracking Error
  • ? 0
  • Rebalancing

4
Indexation
  • Identify a Benchmark Index
  • replicate benchmark index performance
  • a true passive strategy will not attempt to
    outperform index
  • Tracking Error measure of accuracy

5
Tracking Error Measure 1
  • TE1 where Rpt and Rbt are portfolio and
    benchmark returns respectively

6
Tracking Error Measure 1
  • TE2 seThis represents the standard
    deviation of the error terms of a regression
    equation explaining returns from the portfolio
    with returns from the benchmark.
  • We will revisit se later

7
Rebalancing an Equity Portfolio
  • Why?
  • to manage tracking error (if indexing or not)
  • to maintain a desired set of weights or risk
    level
  • client needs change
  • Market risk level changes
  • bankruptcies, mergers, IPOs
  • Why not?
  • its costly!

8
Rebalancing Example 1
9
Rebalancing Example 1
10
Rebalancing Example 1
  • Portfolio is no longer equally weighted
  • To rebalance
  • Sell Y, buy X and Z
  • Positions must be reset to 10445/3 3482
  • Sell 4440 - 3482 958 of Y (48 shares)
  • Buy 3482 - 2672 810 of X (51 shares)
  • Buy 3482 - 3325 157 of Z (4 shares)

11
Rebalancing Example 1
12
Rebalancing Example 1
  • LT effects of this strategy?
  • Alternatives?
  • Example 2 Rebalancing to reestablish a specific
    level of systematic risk (Target Beta 1.2)

13
Rebalancing Example 2
  • Reestablishing a beta of 1.2
  • No unique solution for more than 2 securities
  • Need to sell high ? stocks and buy low ? stocks
  • For example, sell Y, buy Z, hold X constant
  • ?p (.256)(1.3)(WY)(1.7)(1-.256-WY)(.8)
  • Find Y such that ?p 1.2
  • WY .302 gt WZ 1-.256-.302 .442
  • 3488 in X, 3151 in Y, 4611 in Z

14
Active Equity Strategies
  • Beat the market on a risk adjusted basis!
  • Need a benchmark
  • More expensive turnover, research
  • Must outperform on a fee-adjusted basis

15
Active Management is Forecasting!
  • The Fundamental Law of Active Management
    (Grinold and Kahn) IR IC x (BR)0.5
  • IR information ratio
  • reward-to-risk or a/se
  • IC information coefficient
  • correlation between forecast and actual
    (CORR(E(a), a)
  • BR breadth
  • of stocks evaluated per period

16
IR IC x (BR)0.5
  • Example
  • a stockpicker has an IC of .035 and makes 200
    bets per quarter (800 per year)
  • IR (.035)(800)0.5 .99 (is this good??)
  • BARRA research indicates that an IR of 1.0 is in
    the 90th percentile (-1.0 is in 10th, 0 is in
    50th)
  • What if Im an industry picker?

17
Using the Fundamental law to forecast alpha
  • Suppose that there is some indicator or signal
    that we use to forecast performance. Call it S.
    S can be a single factor (price-to-book) or the
    result of a multifactor analysis. Standardize S.
    (e.g., S1.0 is 1 s.d. above the mean of 0)
  • Adapting the fundamental law a IC x se x S
    a Skill x Volatility x Signal

18
Using the Fundamental law to forecast alpha
  • Example
  • Your analysis produces a binary buy or sell
    recommendation. Your IC .05 (really good!)

19
Treynor-Black Model
  • Suppose you can identify securities that you
    expect to outperform (or underperform) on a
    risk-adjusted basis
  • How do you exploit this model?

20
Treynor-Black Model Assumptions
  • Analysts can only produce quality analysis on a
    small number of securities
  • There is a passive market portfolio (M)
  • Forecasts of return (E(rM) and risk (s) exist
  • Determine abnormal return (a) for analyzed
    securities
  • Find optimal weights of analyzed securities to
    create active component (A)
  • Combine A, M and risk-free asset to achieve
    efficiency

21
Treynor-Black Construction (Step 1)
  • Assume ri rf bi(rM - rf) ei
  • For analyzed security k rk rf bk(rM - rf)
    ek ak gt estimate ak, bk, s2(ek)
  • To construct A wk (ak/s2(ek))/(Sai/s2(ei))
    gt determine aA, bA, s2(eA)

22
Treynor-Black Construction (Step 2)
  • w0 (aA/s2(eA))/(E(rM)-rf)/s2M
  • w w0/(1(1-?A)w0)
  • w0 is the proportion of A in the new, enhanced
    market portfolio (M)

23
Active Equity Strategies
  • Styles
  • Sector Rotation move in/out of sectors as
    economy improves/declines
  • Earnings Momentum overweight stocks displaying
    above average earnings growth
  • Enhanced Index Fund - majority of funds track
    index, some funds are actively managed
  • Quantitative Investment Management
Write a Comment
User Comments (0)
About PowerShow.com