Reading 20 Fixed-Income Portfolio Management—Part I Flashcards
(1) Decomposing Expected Return for Fixed Income?
(2) How do you calculate each component?
(1)
E(R)≈
Yield income
+Rolldown return
+E(Change in price based on investor’s views of yields and yield spreads)
−E(Credit losses)
+E(Currency gains or losses)
(2)
Yield income = annual coupon payment / current bond price
Rolldown return = (Ending bond price - Beg bond price) / Beg bond price
Note: Rolling yield = yield income + rolldown return
E(Change in price based on investor’s views of yields and yield spreads) = [–MD × ∆Yield] + [½ × Convexity × (∆Yield)2]
Note: to use effective duration and effective convexity for bonds with embedded options (Floating-rate notes have modified duration near zero)
E(Credit losses) = Prob of Default * Loss Given Default
Four activities in the investment management process
Four activities in the investment management process:
- setting the investment objectives (with related constraints);
- developing and implementing a portfolio strategy;
- monitoring the portfolio; and
- adjusting the portfolio.
Two types of investor based on investment objectives
Broadly, there are two types of investor based on investment objectives.
- The first type of investor does not have liability matching as a specific objective.
- The second type of investor has a liability (or set of liabilities) that needs to be met.
Classification of Bond Management Strategies
Classification of Strategies:
1. Pure bond indexing (or full replication approach). The goal here is to produce a portfolio that is a perfect match to the index. The pure bond indexing approach attempts to duplicate the index by owning all the bonds in the index in the same percentage as the index. Full replication is typically very difficult and expensive to implement in the case of bond indices. Many issues in a typical bond index (particularly the non-Treasuries) are quite illiquid and very infrequently traded. For this reason, full replication of a bond index is rarely attempted because of the difficulty, inefficiency, and high cost of implementation.
2. Enhanced indexing by matching primary risk factors. This management style uses a sampling approach in an attempt to match the primary index risk factors and achieve a higher return than under full replication. Primary risk factors are typically major influences on the pricing of bonds, such as changes in the level of interest rates, twists in the yield curve, and changes in the spread between Treasuries and non-Treasuries.
- By investing in a sample of bonds rather than the whole index, the manager reduces the construction and maintenance costs of the portfolio. Although a sampling approach will usually track the index less closely than full replication, this disadvantage is expected to be more than offset by the lower expenses.
- By matching the primary risk factors, the portfolio is affected by broad market-moving events (e.g., changing interest rate levels, twists in the yield curve, spread changes) to the same degree as the index.
3. Enhanced indexing by small risk factor mismatches. While matching duration (interest rate sensitivity), this style allows the manager to tilt the portfolio in favor of any of the other risk factors. The manager may try to marginally increase the return by pursuing relative value in certain sectors, quality, term structure, and so on. The mismatches are small and are intended to simply enhance the portfolio’s return and/or risk profile enough to overcome the difference in administrative costs between the portfolio and the index.
4. Active management by larger risk factor mismatches. The difference between this style and enhanced indexing is one of degree. This style involves the readiness to make deliberately larger mismatches on the primary risk factors than in Type 3—definitely active management. The portfolio manager is now actively pursuing opportunities in the market to increase the return.
5. Full-blown active management. Full-blown active management involves the possibility of aggressive mismatches on duration, sector weights, and other factors. Often, the fund manager is seeking to construct a portfolio with superior return and risk characteristics, without much day-to-day consideration of the underlying index composition.
Reasons exist for bond indexing
There are several reasons exist for bond indexing.
- Indexed portfolios have lower fees than actively managed accounts.
- Outperforming a broadly based market index on a consistent basis is a difficult task, particularly when one has to overcome the higher fees and transactions costs associated with active management.
- Broadly based bond index portfolios provide excellent diversification.
Selection of a Benchmark Bond Index
The choice depends heavily on four factors:
- Market value risk. The desired market value risk of the portfolio and the index should be comparable. Given a normal upward-sloping yield curve, a bond portfolio’s yield to maturity increases as the maturity of the portfolio increases. Does this mean that the total return is greater on a long portfolio than on a short one? Not necessarily. Because a long duration portfolio is more sensitive to changes in interest rates, a long portfolio will likely fall more in price than a short one when interest rates rise. In other words, as the maturity and duration of a portfolio increases, the market risk increases.
- Income risk. The chosen index should provide an income stream comparable to that desired for the portfolio. If stability and dependability of income are the primary needs of the investor, then the long portfolio is the least risky and the short portfolio is the most risky.
- Credit risk. The average credit risk of the index should be appropriate for the portfolio’s role in the investor’s overall portfolio and satisfy any constraints placed on credit quality in the investor’s investment policy statement. The diversification among issuers in the index should also be satisfactory to the investor.
- Liability framework risk. This risk should be minimized. In general, it is prudent to match the investment characteristics (e.g., duration) of assets and liabilities, if liabilities play any role.
Investment grade bond means
Investment grade, which means they are rated Baa or higher
Bond Index Investability and Use as Benchmarks
Problems with investability of bond indices:
- The values of many issues constituting bond indices do not represent recent trading but are often estimated (appraised) on the basis of the inferred current market value from their characteristics (an appraisal approach known as “matrix pricing”). Delays in data on spreads used in estimated prices can cause large errors in valuation. Among the factors that explain infrequent trading are the long-term investment horizon of many bond investors, the limited number of distinct investors in many bond issues, and the limited size of many bond issues. Furthermore, corporate bond market trading data, although improving in many markets, have typically been less readily accessible than equity trading data. As a consequence of these facts, many bond indices are not as investable as major equity indices.The impact on price from investing in less frequently traded bonds can be substantial due to their illiquidity. To minimize problems with illiquidity, some index providers create more liquid subsets of their indices.
- Secondly, owing to the heterogeneity of bonds, bond indices that appear similar can often have very different composition and performance.
- A third potential challenge is that the index composition tends to change frequently. Although equity indices are often reconstituted or rebalanced quarterly or annually, bond indices are usually recreated monthly. The characteristics of outstanding bonds are continually changing as maturities change, issuers sell new bonds, and issuers call in others.
- A fourth issue is referred to as the “bums” problem, which arises because capitalization-weighted bond indices give more weight to issuers that borrow the most (the “bums”). The bums in an index may be more likely to be downgraded in the future and experience lower returns. The bums problem is applicable to corporate as well as government issuers. With global bond indices, the countries that go the most into debt have the most weight.
- A fifth issue is that investors may not be able to find a bond index with risk characteristics that match their portfolio’s exposure.
In sum, because of the small size and heterogeneity of bond issues, their infrequent trading, and other issues, many bond indices will not be easily replicated or investable . If bond indices are not investable, it is unrealistic and unfair to expect a manager to match its performance. As such, bond indices often do not serve as valid benchmarks.
“Bums” problem
“Bums” problem arises because capitalization-weighted bond indices give more weight to issuers that borrow the most (the “bums”).
An index heavily weighted by bums will likely have increased risk compared with an equally weighted index. Investors tracking such indices may hold a riskier portfolio than they might otherwise desire, and the index and portfolio are unlikely to be mean–variance efficient.
- A potential solution to this weighting problem is to use bond indices that limit the weights of component securities from particular issuers. However, such an index is more likely to contain smaller-value securities that are difficult to trade without incurring high transaction costs, hindering its investability.
- Another potential solution to the bums problem is to invest in equal-weighted indices, GDP-weighted indices, fundamental-weighted indices, or indices with other weighting systems. However, such weighting schemes may not solve the bums problem entirely, may contain bonds that are less liquid, or may be constructed using subjective inclusion criteria.
Six other criteria for valid benchmarks
Six other criteria for valid benchmarks:
According to the authors, valid benchmarks will be:
- Specified in advance
- Appropriate
- Measurable
- Unambiguous
- Reflective of current investment opinions
- Accountable.
Risk Profiles of indeces
The identification and measurement of risk factors will play a role both in index selection and in portfolio construction. The major source of risk for most bonds relates to the yield curve (the relationship between interest rates and time to maturity). Yield curve changes include:
- a parallel shift in the yield curve (an equal shift in the interest rate at all maturities),
- a twist of the yield curve (movement in contrary directions of interest rates at two maturities), and
- other curvature changes of the yield curve.
Among the three, the first component (yield curve shift) typically accounts for about 90 percent of the change in value of a bond.
In assessing bond market indices as potential candidates, the manager must examine each index’s risk profile, which is a detailed tabulation of the index’s risk exposures.
The manager needs to know: “How sensitive is the index’s return to changes in the level of interest rates (interest rate risk), changes in the shape of the yield curve (yield curve risk), changes in the spread between Treasuries and non-Treasuries (spread risk), and various other risks?”
The portfolio manager may use various techniques, perhaps in combination, to align the portfolio’s risk exposures with those of the index.
Examples of techniqes:
- cell-matching technique
- multifactor model technique
Cell-matching technique
A cell-matching technique (also known as stratified sampling) divides the index into cells that represent qualities designed to reflect the risk factors of the index. The manager then selects bonds (i.e., sample bonds) from those in each cell to represent the entire cell taking account of the cell’s relative importance in the index. The total dollar amount selected from this cell may be based on that cell’s percentage of the total. For example, if the A rated corporates make up 4 percent of the entire index, then A rated bonds will be sampled and added until they represent 4 percent of the manager’s portfolio.
Multifactor Model Technique
A multifactor model technique makes use of a set of factors that drive bond returns. Generally, portfolio managers will focus on the most important or primary risk factors. These measures are described below, accompanied by practical comments.
1. Duration. An index’s effective duration measures the sensitivity of the index’s price to a relatively small parallel shift in interest rates (i.e., interest rate risk). (For large parallel changes in interest rates, a convexity adjustment is used to improve the accuracy of the index’s estimated price change. A convexity adjustment is an estimate of the change in price that is not explained by duration.) The manager’s indexed portfolio will attempt to match the duration of the index as a way of ensuring that the exposure is the same in both portfolios. Because parallel shifts in the yield curve are relatively rare, duration by itself is inadequate to capture the full effect of changes in interest rates.
2. Key rate duration and present value distribution of cash flows. Nonparallel shifts in the yield curve (i.e., yield curve risk), such as an increase in slope or a twist in the curve, can be captured by two separate measures. Key rate duration is one established method for measuring the effect of shifts in key points along the yield curve. In this method, we hold the spot rates constant for all points along the yield curve but one. By changing the spot rate for that key maturity, we are able to measure a portfolio’s sensitivity to a change in that maturity. This sensitivity is called the rate duration. We repeat the process for other key points (e.g., 3 years, 7 years, 10 years, 15 years) and measure their sensitivities as well.
Another popular indexing method is to match the portfolio’s present value distribution of cash flows to that of the index. Dividing future time into a set of non-overlapping time periods, the present value distribution of cash flows is a list that associates with each time period the fraction of the portfolio’s duration that is attributable to cash flows falling in that time period.
3. Sector and quality percent. To ensure that the bond market index’s yield is replicated by the portfolio, the manager will match the percentage weight in the various sectors and qualities of the index.
4. Sector duration contribution. A portfolio’s return is obviously affected by the duration of each sector’s bonds in the portfolio. For an indexed portfolio, the portfolio must achieve the same duration exposure to each sector as the index. The goal is to ensure that a change in sector spreads has the same impact on both the portfolio and the index.
5. Quality spread duration contribution. The risk that a bond’s price will change as a result of spread changes (e.g., between corporates and Treasuries) is known as spread risk. A measure that describes how a non-Treasury security’s price will change as a result of the widening or narrowing of the spread is spread duration. Changes in the spread between qualities of bonds will also affect the rate of return. The easiest way to ensure that the portfolio closely tracks the index is to match the amount of the index duration that comes from the various quality categories.
6. Sector/coupon/maturity cell weights. Because duration only captures the effect of small interest rate changes on an index’s value, convexity is often used to improve the accuracy of the estimated price change, particularly where the change in rates is large. However, some bonds (such as mortgage-backed securities) may exhibit negative convexity, making the index’s exposure to call risk difficult to replicate. A manager can attempt to match the convexity of the index, but such matching is rarely attempted because to stay matched can lead to excessively high transactions costs. (Callable securities tend to be very illiquid and expensive to trade.)
7. Issuer exposure. Event risk for a single issuer is the final risk that needs to be controlled. If a manager attempts to replicate the index with too few securities, issuer event risk takes on greater importance.
Present value distribution of cash flows method
Another popular indexing method is to match the portfolio’s present value distribution of cash flows to that of the index. Dividing future time into a set of non-overlapping time periods, the present value distribution of cash flows is a list that associates with each time period the fraction of the portfolio’s duration that is attributable to cash flows falling in that time period. The calculation involves the following steps:
- The portfolio’s creator will project the cash flow for each issue in the index for specific periods (usually six-month intervals). Total cash flow for each period is calculated by adding the cash flows for all the issues. The present value of each period’s cash flow is then computed and a total present value is obtained by adding the individual periods’ present values. (Note that the total present value is the market value of the index.)
- Each period’s present value is then divided by the total present value to arrive at a percentage for each period.
- Next, we calculate the contribution of each period’s cash flows to portfolio duration. Because each cash flow is effectively a zero-coupon payment, the time period is the duration of the cash flow. By multiplying the time period times the period’s percentage of the total present value, we obtain the duration contribution of each period’s cash flows. For example, if we show each six-month period as a fractional part of the year (0.5, 1.0, 1.5, 2.0, etc.), the first period’s contribution to duration would be 0.5 × 3.0 percent, or 0.015. The second period’s contribution would be 1.0 × 3.8 percent, or 0.038.
- Finally, we add each period’s contribution to duration (0.015 + 0.038 + …) and obtain a total (3.28, for example) that represents the bond index’s contribution to duration. We then divide each of the individual period’s contribution to duration by the total. It is this distribution that the indexer will try to duplicate. If this distribution is duplicated, nonparallel yield curve shifts and “twists” in the curve will have the same effect on the portfolio and the index.
Tracking Risk
Tracking risk (also known as tracking error) is a measure of the variability with which a portfolio’s return tracks the return of a benchmark index. More specifically, tracking risk is defined as the standard deviation of the portfolio’s active return, where the active return for each period is defined as
Active return = Portfolio’s return – Benchmark index’s return
Therefore,
Tracking risk = Standard deviation of the active returns
Statistically, the area that is one standard deviation either side of the mean captures approximately 2/3 of all the observations if portfolio returns approximately follow a normal distribution.
Tracking risk arises primarily from mismatches between a portfolio’s risk profile and the benchmark’s risk profile.
Ways (i.e., index enhancement strategies) to enhance the portfolio’s return
Ways (i.e., index enhancement strategies) to enhance the portfolio’s return:
1. Lower cost enhancements. Managers can increase the portfolio’s net return by simply maintaining tight controls on trading costs and management fees. Although relatively low, expenses do vary considerably among index funds. Where outside managers are hired, the plan sponsor can require that managers re-bid their management fees every two or three years to ensure that these fees are kept as low as possible.
2. Issue selection enhancements. The manager may identify and select securities that are undervalued in the marketplace, relative to a valuation model’s theoretical value. Many managers conduct their own credit analysis rather than depending solely on the ratings provided by the bond rating houses. As a result, the manager may be able to select issues that will soon be upgraded and avoid those issues that are on the verge of being downgraded.
3. Yield curve positioning. Some maturities along the yield curve tend to remain consistently overvalued or undervalued. For example, the yield curve frequently has a negative slope between 25 and 30 years, even though the remainder of the curve may have a positive slope. These long-term bonds tend to be popular investments for many institutions, resulting in an overvalued price relative to bonds of shorter maturities. By overweighting the undervalued areas of the curve and underweighting the overvalued areas, the manager may be able to enhance the portfolio’s return.
4. Sector and quality positioning. This return enhancement technique takes two forms:
- Maintaining a yield tilt toward short duration corporates. Experience has shown that the best yield spread per unit of duration risk is usually available in corporate securities with less than five years to maturity (i.e., short corporates). A manager can increase the return on the portfolio without a commensurate increase in risk by tilting the portfolio toward these securities. The strategy is not without its risks, although these are manageable. Default risk is higher for corporate securities, but this risk can be managed through proper diversification. (Default risk is the risk of loss if an issuer or counterparty does not fulfill contractual obligations.)
- Periodic over- or underweighting of sectors (e.g., Treasuries vs. corporates) or qualities. Conducted on a small scale, the manager may overweight Treasuries when spreads are expected to widen (e.g., before a recession) and underweight them when spreads are expected to narrow. Although this strategy has some similarities to active management, it is implemented on such a small scale that the objective is to earn enough extra return to offset some of the indexing expenses, not to outperform the index by a large margin as is the case in active management.
5. Call exposure positioning. A drop in interest rates will inevitably lead to some callable bonds being retired early. As rates drop, the investor must determine the probability that the bond will be called. Should the bond be valued as trading to maturity or as trading to the call date? Obviously, there is a crossover point at which the average investor is uncertain as to whether the bond is likely to be called. Near this point, the actual performance of a bond may be significantly different than would be expected, given the bond’s effective duration (duration adjusted to account for embedded options). For example, for premium callable bonds (bonds trading to call), the actual price sensitivity tends to be less than that predicted by the bonds’ effective duration. A decline in yields will lead to underperformance relative to the effective duration model’s prediction. This underperformance creates an opportunity for the portfolio manager to underweight these issues under these conditions.
Extra Activities Required for the Active Manager
After selecting the type of active strategy to pursue, the active manager will:
- Identify which index mismatches are to be exploited. The choice of mismatches is generally based on the expertise of the manager. If the manager’s strength is interest rate forecasting, deliberate mismatches in duration will be created between the portfolio and the benchmark. If the manager possesses superior skill in identifying undervalued securities or undervalued sectors, sector mismatches will be pursued.
- Extrapolate the market’s expectations (or inputs) from the market data. As discussed previously, current market prices are the result of all investors applying their judgment to the individual bonds. By analyzing these prices and yields, additional data can be obtained.
- Independently forecast the necessary inputs and compare these with the market’s expectations. For example, after calculating the forward rates, the active manager may fervently believe that these rates are too high and that future interest rates will not reach these levels.
- Estimate the relative values of securities in order to identify areas of under- or overvaluation. Again, the focus depends on the skill set of the manager.
Total Return Analysis and Scenario Analysis
What tools does the manager have in his or her tool bag to help assess the risk and return characteristics of a trade? The two primary tools are total return analysis and scenario analysis.
The total return on a bond is the rate of return that equates the future value of the bond’s cash flows with the full price of the bond. As such, the total return takes into account all three sources of potential return: coupon income, reinvestment income, and change in price. Total return analysis involves assessing the expected effect of a trade on the portfolio’s total return given an interest rate forecast.
Even though this total return is the manager’s most likely total return, this computation is for only one assumed change in rates. This total return number does very little to help the manager assess the risk that he faces if his forecast is wrong and rates change by some amount other than that forecast. A prudent manager will never want to rely on just one set of assumptions in analyzing the decision; instead, he or she will repeat the above calculation for different sets of assumptions or scenarios. In other words, the manager will want to conduct a scenario analysis to evaluate the impact of the trade on expected total return under all reasonable sets of assumptions.
Advantages of scenario analysis
Scenario analysis is useful in a variety of ways:
- The obvious benefit is that the manager is able to assess the distribution of possible outcomes, in essence conducting a risk analysis on the portfolio’s trades. The manager may find that, even though the expected total return is quite acceptable, the distribution of outcomes is so wide that it exceeds the risk tolerance of the client.
- The analysis can be reversed, beginning with a range of acceptable outcomes, then calculating the range of interest rate movements (inputs) that would result in a desirable outcome. The manager can then place probabilities on interest rates falling within this acceptable range and make a more informed decision on whether to proceed with the trade.
- The contribution of the individual components (inputs) to the total return may be evaluated. The manager’s a priori assumption may be that a twisting of the yield curve will have a small effect relative to other factors. The results of the scenario analysis may show that the effect is much larger than the manager anticipated, alerting him to potential problems if this area is not analyzed closely.
- The process can be broadened to evaluate the relative merits of entire trading strategies.
The purpose of conducting a scenario analysis is to gain a better understanding of the risk and return characteristics of the portfolio before trades are undertaken that may lead to undesirable consequences. In other words, scenario analysis is an excellent risk assessment and planning tool.
Dedication Strategies
Dedication strategies are specialized fixed-income strategies that are designed to accommodate specific funding needs of the investor. They generally are classified as passive in nature, although it is possible to add some active management elements to them.
Immunization aims to construct a portfolio that, over a specified horizon, will earn a predetermined return regardless of interest rate changes. Another widely used dedication strategy is cash flow matching, which provides the future funding of a liability stream from the coupon and matured principal payments of the portfolio.
Obviously, the more uncertain the liabilities, the more difficult it becomes to use a passive dedication strategy to achieve the portfolio’s goals. For this reason, as liabilities become more uncertain, managers often insert elements of active management.