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Home > Library > Stable Times > Volume 4, Issue 3

The quarterly publication of the Stable Value Investment Association
Third Quarter 2000 • Volume 4 Issue 3
The ABC’s of Measuring Stable Value Performance
By Victoria M. Paradis, CFA, J.P. Morgan Investment Management
What’s the best way for a plan sponsor to evaluate the success
of their stable value fund?
Specifically, if a fund offers attractive book value returns, to what
degree can the plan sponsor attribute the results to:
- A good investment polic
- A good investment manager, or
- Favorable interest rate levels when participants made deposits and withdrawals from the fund?
In fact,
each of these facets has a material, independent effect on stable
value fund returns. These are key distinctions to draw and answers
to find. However, a quick assessment of a Fund’s book value returns
alone cannot decipher these distinctions. To evaluate any investment
strategy, including stable value, plan sponsors should question two
components:
- Is my investment policy appropriate to meet the objectives
of the fund?
- Is my manager best suited for the assignment?
Let’s address
these topics in more detail.
1. Is my investment policy appropriate to meet the objectives
for the fund?
An investment policy determines the objectives and investment guidelines
of the fund, by defining permitted fund investments based on:
- Duration
What duration (average maturity) range is most appropriate to
meet the fund’s return versus responsiveness objectives? What
duration will best match the fund’s liquidity profile?
- Credit quality
What average quality and minimum quality requirements
are most appropriate to meet the fund objectives? What diversification
limits by issuer and industry make sense?
- Sector
What investment sectors will best suit the fund’s role within
the DC line-up? To what degree should the fund invest in GICs,
government, corporate, mortgage-backed, and asset-backed securities?
Should the fund exclude or include below investment grade or international
securities?
Who decides
the investment policy? Usually the plan sponsor, not the investment
manager. Stable value investment managers may help design an
investment policy, but they do not usually make broad policy decisions.
After the plan sponsor decides investment policy and guidelines, then
a discretionary investment manager can meaningfully be held accountable
for their decision-making ability within those parameters.
2. Is my manager best suited for the assignment?
After adjusting for policy differences between funds, book
value returns still mask distinctions between managers. Understandably,
many plan sponsors historically have been comfortable without transparency
of investment performance because stable value funds often invest
in low risk, low turnover portfolios. They are perceived as passive
investments. Yet, true passive investments mimic an index and require
no manager decisions. The insert box gives some examples of active
stable value investment decisions.
Active Investment
Decisions
· 3 year versus 5 year
· AA versus AAA
· GIC versus bond
· Cash versus invest
· Hold versus trade
· Asset backed vs.
Mortgage backed
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How
can a plan sponsor evaluate whether their manager has actually made
good decisions? One effective approach is to
compare the manager’s returns with those of a strategy that could
have been passively produced. Many plans have already established
passive book value benchmarks, such as blended GIC index or Treasury
yields. However, because of the embedded “lag effect” and “cash flow
effect” of book value returns, the results of book value return comparisons
will always be murky. This topic has been thoroughly addressed in
previous issues of Stable Times. Book value results do not
enable a plan sponsor to differentiate one manager’s ability from
another, to ensure the best choice for managing the investments.
How
can a plan sponsor evaluate whether their manager has actually made
good decisions? One effective approach is to compare the manager’s
returns with those of a strategy that could have been passively
produced. Many plans have already established passive book value
benchmarks, such as blended GIC index or Treasury yields. However,
because of the embedded “lag effect” and “cash flow effect” of book
value returns, the results of book value return comparisons will
always be murky. This topic has been thoroughly addressed in previous
issues of Stable Times. Book value results do not enable
a plan sponsor to differentiate one manager’s ability from another,
to ensure the best choice for managing the investments.
A
market value-based approach is the solution that works. The time-weighted
total return methodology prescribed in the Performance Presentation
Standards sponsored by the Association for Investment Management
and Research (AIMR-PPS) is designed to get at the answers that plan
sponsors should be seeking.
Total Return
The calculation of total return is based on the formula
RTR = (MVE-MVB)/MVB
where
RTR is the total return, MVE
is the market value of the portfolio at the end of the period, including
all income accrued up to the end of the period, and MVB is
the portfolio's market value at the beginning of the period, including
all income accrued up to the end of the previous period.
This well-known formula represents growth
(or decline) in the value of a portfolio, including both capital
appreciation and income, as a proportion of the starting market
value. This formula does not incorporate cash flows during the
measurement period (see section below).
How to handle Traditional GICs
GICs
are not readily marketable; so true market value returns are not
possible. Yet, it is feasible to calculate the fair value
of GICs by discounting cash flows using three simple steps outlined
below. See Table A at the end of this paper for a mathematical
example.
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AIMR-PPS allows flexibility in methodology, as long as the calculation method choosen represents perfomance fairly, is not misleading, and is applied consistently to all portfolios and time periods.
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The fair
value calculation for GICs is clearly an approximation. Specifically,
- The discounting formula includes estimates of
current spreads. This will create variations in results between
managers. However, there exist analogous situations for other asset
classes that invest in privately negotiated or infrequently traded
securities.
- The SVIA Task Force approach allows for the exclusion
of bid-ask pricing differences when determining GIC values. The
intent is to calculate fair value, not liquidation value. Liquidation
value is the objective when valuing most other asset classes, but
is not necessarily appropriate for GICs which cannot be readily
valued for liquidation.
Calculating the fair value of traditional GICs
Step1: Project future contract and principal payments
Step2: Track market yields and spreads as of key measurements dates1
- Record yields of Treasuries with maturities that correspond to future
contract payments
- Maintain GIC spread data, source is at manager discretion
Step3: Discount cash flows from Step1 using yields plus spreads from Step2 to
generate fair value as of each measurement date
- Use financial calculator or spreadsheet PV function
See Table A at the end of the article for a numerical example.
1 At least quarterly and upon material participant and contract cash flows.
Measuring the effect of interim cash flows
The
Standards seek to isolate the investment results that managers can
control, while adjusting for those things that managers cannot control,
such as participant cash flows.
The
total rate of return calculation outlined above is a reasonable
way of presenting the performance of a portfolio with no cash flows
over a period. However, the condition of no cash flows is clearly
not applicable in a stable value environment with unpredictable,
daily participant cash flows.
When cash flows occur, theoretically, they
must be used to “buy" additional units of the portfolio at
the market price on the day they are received. Thus, the most accurate
method of calculating return is to calculate the market value of
the portfolio on the date of each cash flow, calculate an interim
rate of return for the subperiod according to the preceding formula,
and then link the subperiod returns to get the return for the month
or quarter. This approach removes the effect of each cash flow.
Methods that use this approach, or an approximation of it, are called
time-weighted rate-of-return methods.
Time-Weighted Rate of Return
The
AIMR-PPS standards require calculation of a time-weighted rate of
return using a minimum of quarterly valuations and geometric linking
of these interim returns. Approximation methods are acceptable.
There
are three methods to compute time-weighted rate of return. The
first is the daily valuation method (or valuation whenever cash
flows occur), which is most precise and therefore considered the
ideal. Two other methods - the modified Dietz method and the modified
Bank Administration Institute (BAI) method - result in approximations
of the daily valuation method. Only the daily valuation and modified
Dietz method are included in this article.
Whichever method is chosen, being consistent is important.
Daily
valuation method. The daily valuation method uses the market
value of the portfolio whenever cash flows occur. The chief advantage
of this method is that it calculates the true time-weighted rate
of return rather than an estimate. The major drawback is that it
requires precise market valuation of the portfolio on the date of
each cash flow, something that is not always feasible or practical.
The formula is
,
where
S1, S2…, Sn are the subperiod
indexes for subperiods 1, 2, etc., through n. Subperiod 1 extends
from the first day of the period up to and including the date of
the first cash flow. Subperiod 2 begins the next day and extends
to the date of the second cash flow and so forth. The final subperiod
extends from the day after the final cash flow through the last
day of the period.
Each of the subperiod indexes is calculated using the formula
where
MVEi is
the market value of the portfolio at the end of subperiod i,
before any cash flows in period i but including accrued income
for the period, and MVBi is the market value at the end of
the previous subperiod (i.e., the beginning of this subperiod),
including any cash flows at the end of the previous subperiod and
including accrued income up to the end of the previous period.
See Table A for a simplified mathematical example.
Modified Dietz method. The
Dietz method overcomes the need to know the market valuation of
the portfolio on the date of each cash flow by assuming a constant
rate of return on the portfolio during the period. The chief advantage
of the modified Dietz method is that it does not require portfolio
market valuation for the date of each cash flow. Its chief disadvantage
is that it provides a less accurate estimate of the true time-weighted
rate of return.
The
original Dietz method assumed that all cash flows occurred at the
midpoint of the period. The modified Dietz method weights each
cash flow by the amount of time it is held in the portfolio. The
formula for estimating the time-weighted rate of return using the
modified Dietz method is:
where MVE and MVB are as defined previously,
F is the sum of the cash flows within the period (contributions
to the portfolio are positive flows, and withdrawals or distributions
are negative flows), and FW is the sum of each cash flow,
F, multiplied by its weight, Wi.
Weight
Wi is the proportion of the total number of days in the period
that cash flow Fi has been in (or out of) the portfolio.
The formula for Wi is:
where
CD is the total number of days in the period and Di is the
number of days since the beginning of the period in which cash flow
Fi occurred. The numerator is based on the assumption that
the cash flows occur at the end of the day. If cash flows were assumed
to occur at the beginning of the day, the numerator would be CD
+ 1 - Di.
While this paper addressed measuring performance, the next installment
will cover the ABC’s of presenting stable value performance. It will include:
- Composite construction
- Presentation of results
- Disclosures
See Table A.
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