Investments Ch 5 Flashcards
(51 cards)
INTRODUCTION
- Financial analysts begin the portfolio performance evaluation by
computing the various types of returns and measures of variability. - The return and risk measures are used to compute risk-adjusted
measures of performance. These measures assess how a portfolio
has performed. - Attribution analysis provides the reasons behind that performance.
BENCHMARK PORTFOLIO
- A customized portfolio that contains securities similar to those held
by the manager and is weighted comparably. - Sometimes referred to as a normal portfolio, it has identical risk
levels to the actual portfolio. - Indexes are only appropriate if the portfolio contains similar stocks
held with similar weights as those in the index.
BENCHMARK PORTFOLIO: EXAMPLE
Consider a client with a 10% return objective. A financial adviser creates a policy statement for that client, identifies relevant financial securities that fit the risk return profile for this client, and drafts an optimal asset allocation using specialized optimization techniques.
* After one year, the financial adviser’s recommendations produce a
return of 10%.
* Question: Is this client satisfied with the performance of the portfolio?
BENCHMARK PORTFOLIO: EXAMPLE
Consider a client with a 10% return objective. A financial adviser creates a policy statement for that client, identifies relevant financial securities that fit the risk return profile for this client, and drafts an optimal asset allocation using specialized optimization techniques.
- After one year, the financial adviser’s recommendations produce a
return of 10%. - Question: Is this client satisfied with the performance of the portfolio?
FORMING A BENCHMARK PORTFOLIO
- The formation of the benchmark portfolio is critical in determining
relative performance. - It may be appropriate to use an index or combination of indexes as
the benchmark. - A more complex way is to select securities that have high
correlations with the securities in the portfolio.
PERFORMANCE MEASURES
Risk-adjusted performance measures consider risk and return.
- Treynor Ratio - the return is adjusted for systematic risk (beta)
- Sharpe Ratio - the return is adjusted for total risk (standard deviation)
- Jensen’s Alpha uses market data and adjusts for systematic risk
PERFORMANCE MEASURES: EXAMPLE
PERFORMANCE MEASURES: EXAMPLE
THE ASSET ALLOCATION DECISION
THE ASSET ALLOCATION DECISION
Asset allocation is an investment decision in which portfolio weights
are assigned to reflect the investor’s risk profile.
- Typically, optimization software is used to determine the optimum
portfolio and can be adjusted over time.
BUY AND HOLD STRATEGY
BUY AND HOLD STRATEGY
Some investors are comfortable allowing rising and falling markets to
change their original allocations.
- A buy and hold strategy is one in which the investor does nothing
to rebalance the portfolio weights.
–Lower transaction costs are associated with this strategy.
–Over time, the current allocation could potentially be much
different than the original weights in the allocation.
– The major problem: the portfolio can have significantly different
return and risk profiles than when originally constructed
CONSTANT WEIGHTING ALLOCATION
CONSTANT WEIGHTING ALLOCATION
- Investors initially decide on a strategic allocation.
- The target weights for the portfolio are typically allowed to fluctuate
within a narrow tolerance range
CONSTANT WEIGHTING: EXAMPLE
Example: Consider an investor who owns two mutual funds: an equity fund and a fixed income fund
CONSTANT WEIGHTING: EXAMPLE
Example: Consider an investor who owns two mutual funds: an equity fund and a fixed income fund
TACTICAL ASSET ALLOCATION
TACTICAL ASSET ALLOCATION
- Tactical Asset Allocation attempts to profit from short term
mispricing. - Deviations from the long-term allocations are pursued over the short term to increase returns.
DYNAMIC ALLOCATION STRATEGIES
DYNAMIC ALLOCATION STRATEGIES
- Dynamic allocation is a strategy in which the portfolio weights are
constantly being adjusted to reflect changing market conditions and
changing asset values. - Active strategy where macroeconomic variables determine which
asset class should be over-weighted.
ASSET SELECTION
The part of the investments process in which the securities to be
included in the portfolio are selected.
ASSET SELECTION
The part of the investments process in which the securities to be
included in the portfolio are selected.
Four fundamental means of selection:
- Discounted cash flow technique
- Relative valuation with multipliers
- Technical analysis
- Indexing
DISCOUNTED CASH FLOW
DISCOUNTED CASH FLOW
- The value of a firm is based on its ability to generate operating cash flows.
- Intrinsic value of stock or bond = the present value of its expected cash flows.
INTRINSIC VALUE FOR BONDS AND STOCKS
For a bond with no embedded options:
INTRINSIC VALUE FOR BONDS AND STOCKS
For a bond with NO embedded options:
* Simply discount the coupon and principal payments to determine
present (intrinsic) value.
For bonds with embedded options:
* Payments are contingent on interest rate or price
movements, but the intrinsic value can still be computed using
sophisticated mathematics.
For equity securities:
* Intrinsic value is the present value of the expected dividend
payments and capital gains
RELATIVE VALUATION WITH MULTIPLIERS
RELATIVE VALUATION WITH MULTIPLIERS
- Valuing a company can also be done by comparing it to the value of
its competition. - Relative valuation can be completed with far fewer assumptions
than the discounted cash flow method.
ASSET SELECTION DECISION
The big challenge in using multiples is to find acceptable peer groups.
ASSET SELECTION DECISION
The big challenge in using multiples is to find acceptable peer groups.
- Advisers must select from among firms in various industries across
sizes, capital structures, and even countries. - Relative value analysis is as much an art as it is a science.
Relative measures: - Price to earnings ratio (PE)
- Price to book ratio (PB)
- Price to sales ratio (PS)
- Price to cash flow (PCF)
- Enterprise to earnings (EE)
RELATIVE VALUATION: EXAMPLE
Bernice is a financial adviser searching for one stock to add to one of
her institutional client’s portfolios. Bernice has narrowed her choices to three firms in the same industry, each with acceptable risk levels for the client.
Bernice uses relative valuation to estimate the following multiples for each firm
RELATIVE VALUATION: EXAMPLE
Bernice is a financial adviser searching for one stock to add to one of
her institutional client’s portfolios. Bernice has narrowed her choices to three firms in the same industry, each with acceptable risk levels for the client.
Bernice uses relative valuation to estimate the following multiples for each firm
TECHNICAL ANALYSIS
TECHNICAL ANALYSIS
- Technical analysis is the use of historical pricing and volume data
to make asset selection decisions. - Technicians believe that patterns exist, and that history does repeat
itself. - Users of technical analysis believe that market sentiment and
pricing patterns are appropriate to value a company
INDEXING
INDEXING
- Indexing results in performance that closely matches general stock
market returns. - Many passive investors choose a portfolio of different index funds
ATTRIBUTION ANALYSIS AND FAMA DECOMPOSITION
ATTRIBUTION ANALYSIS & FAMA DECOMPOSITION
- Eugene Fama wondered if manager performance was due to luck
or unique skill sets developed by the managers. - Fama decomposition model begins with four component pieces:
- Risk-free rate of return
- Expected return demanded by the client
- Extra return provided by the manager due to market timing skills
- Extra return provided by the manager due to security selection kills
FAMA DECOMPOSITION: EXAMPLE (1 OF 5)
- An endowment fund hires Edward York, CFA, to manage its portfolio.
The endowment fund has a target beta of 1.11 but allows York to
deviate from that level as part of a tactical strategy. York identifies a
diversified portfolio that has an actual beta of 1.23. Additional critical
data is shown in the table below:
FAMA DECOMPOSITION: EXAMPLE (1 OF 5)
- An endowment fund hires Edward York, CFA, to manage its portfolio.
The endowment fund has a target beta of 1.11 but allows York to
deviate from that level as part of a tactical strategy. York identifies a
diversified portfolio that has an actual beta of 1.23. Additional critical
data is shown in the table below:
Risk Free rate of return 3.4 %
Market risk premium 7.1 %
Market portfolio volatility 10 %
- After one year, the portfolio has generated a return of 15.1% with a
standard deviation of 23%
__________________________________________ - In this example, York’s target beta is 1.11 but he tactically chose to
invest in a portfolio with a beta of 1.23. With a market risk premium
of 7.1%, the two returns can be calculated as follows:
Clients return 1.11 x 7.1 = 7.881%
York’s return 1.23 x 7.1 = 8.733%
- York exceeded the client’s return by 0.852% (8.733 – 7.881)
____________________________________________
Fama suggests that York’s return could reasonably be expected to
be 12.133%:
Risk Free Rate 3.4 %
Clients Return 7.881 %
Yorks extra return for Higher beta portfolio .852%
Total expected Return for York’s portfolio 12.133% - The actual return on York’s portfolio is 15.1%.
- York outperformed by 2.967% (15.1 – 12.133)
____________________________________________
The equation for the return that should have been earned based on
total risk is:
Return = Risk-Free Rate + Market Risk Premium × (SDp/SDm)
Return = 3.4 + 7.1 × (0.23/0.18) = 12.472%
Net selectivity is: 15.1 – 12.472 = 2.628%
___________________________________________
Summary of decomposition of return:
Risk Free Rate 3.40%
Strategic Return of Portfolio 7.881%
Tactical Out performance ( market Timing) .852%
Net selectivity 2.628%
Return for lack of diversification .339%
total portfolio Return 15.100 %
BRINSON, HOOD AND BEEBOWER (BHB)
BRINSON, HOOD AND BEEBOWER (BHB)
- The Brinson, Hood, and Beebower (BHB) model found that the
asset allocation decisions were the most significant driver of
portfolio variability. - Found that over 90 percent of return variability is explained by asset allocation.
FIXED INCOME ATTRIBUTION ANALYSIS
FIXED INCOME ATTRIBUTION ANALYSIS
- Fixed income investors and issuers have become more complex in
their needs as have the characteristics of bonds being issued. - Fixed rate bonds are the most commonly issued bonds today.
- More complex securities are also available.