31 May Morning study - part 2 - Fixed Income Portflio MGT
OVERVIEW OF FIXED-INCOME PORTFOLIO MANAGEMENT
by Bernd Hanke, PhD, CFA and Brian J. Henderson, PhD, CFA
Bernd Hanke, PhD, CFA, is at Global Systematic Investors LLP (United Kingdom). Brian J. Henderson, PhD, CFA, is at the George Washington University (USA).
LEARNING OUTCOMES
The candidate should be able to:
discuss roles of fixed-income securities in portfolios and how fixed-income mandates may be classified
describe fixed-income portfolio measures of risk and return as well as correlation characteristics
describe bond market liquidity, including the differences among market sub-sectors, and discuss the effect of liquidity on fixed-income portfolio management
describe and interpret a model for fixed-income returns
discuss the use of leverage, alternative methods for leveraging, and risks that leverage creates in fixed-income portfolios
discuss differences in managing fixed-income portfolios for taxable and tax-exempt investors
ROLES OF FIXED-INCOME SECURITIES IN PORTFOLIOS
Learning Outcome
discuss roles of fixed-income securities in portfolios and how fixed-income mandates may be classified
Fixed-income securities serve important roles in investment portfolios, including diversification, regular cash flows, and possible inflation hedging. We will briefly review the roles in turn.
Diversification Benefits
Fixed-income investments can provide diversification benefits when combined with other asset classes in a portfolio. Recall that a major reason portfolios can effectively reduce risk is that combining securities whose returns are not perfectly correlated (i.e., a correlation coefficient of less than +1.0) provides risk diversification. Lower correlations are associated with higher diversification benefits and lower risk. The challenge in diversifying risk is to find assets with correlations much lower than +1.0.
Exhibit 1:
Total Return Correlations between US Fixed Income and Equities
US Aggregate
10Y US Treasury
US Corporate Bonds
Global Aggregate
US TIPS
US High Yield
Emerging Market (USD)
S&P 500
–0.09
–0.30
0.20
0.15
0.02
0.63
0.51
Note: Bloomberg Barclays Indices are shown.
Source: Bloomberg.
Exhibit 2:
Returns of S&P 500 vs. 10-Year Treasuries, 12 December 2019–31 March 2020
Note: Daily data; constant-maturity 10-year Treasuries used.
Exhibit 3:
Excess Return Correlations of Barclays Bloomberg Indexes over a 20-Year Period
US Aggregate
1.00
US Corporate
0.93
1.00
Global Aggregate
0.88
0.86
1.00
US High Yield
0.86
0.84
0.76
1.00
Emerging Market (USD)
0.79
0.76
0.74
0.80
1.00
Notes: Bloomberg Barclays Indices shown. Based on monthly data over 20 years ending December 2019.
Source: Bloomberg.
Importantly, correlations are not constant over time.
During a long historical period, the average correlation of returns between two asset classes may be low, but in any particular period, the correlation can differ from the average correlation.
During periods of market stress, investors may exhibit a “flight to quality” by buying safer assets, such as government bonds (increasing their prices), and selling riskier assets, such as equity securities and high-yield bonds (lowering their prices).
These actions may decrease the correlation between government bonds and equity securities, as well as between government bonds and high-yield bonds.
At the same time, the correlation between riskier assets, such as equity securities and high-yield bonds, may increase.
Note that similar to correlations, volatility (standard deviation) of asset class returns may also vary over time. If interest rate volatility increases, bonds, particularly those with long maturities, can exhibit higher near-term volatility relative to the average volatility over a long historical period.
The standard deviation of returns for lower-credit-quality (high-yield) bonds can rise significantly during times of financial stress, because as credit quality declines and the probability of default increases, investors often view these bonds as being more similar to equities.
Exhibit 4:
Relationship between S&P 500 and High-Yield Returns
Benefits of Regular Cash Flows
Fixed-income investments typically produce regular cash flows for a portfolio. Regular cash flows allow investors—both individual and institutional—to meet known future obligations, such as tuition payments, pension obligations, and payouts on life insurance policies. In these cases, future liabilities can be estimated with some reasonable certainty. Fixed-income securities are often acquired and “dedicated” to funding those future liabilities. In dedicated portfolios, fixed-income securities are selected with cash flows matching the timing and magnitude of projected future liabilities.
It is important to note that reliance on regular cash flows assumes that no credit event (such as an issuer missing a scheduled interest or principal payment) or other market event (such as a decrease in interest rates that causes an increase in prepayments of mortgages underlying mortgage-backed securities) will occur.
These events may cause actual cash flows of fixed-income securities to differ from expected cash flows. If any credit or market event occurs or is forecasted to occur, a portfolio manager may need to adjust the portfolio.
Inflation-Hedging Potential
Some fixed-income securities can provide a hedge for inflation.
Bonds with floating-rate coupons can protect interest income from inflation because the market reference rate should adjust for inflation over time.
The principal payment at maturity is unadjusted for inflation.
Inflation-linked bonds provide investors with valuable inflation-hedging benefits by paying a return that is directly linked to an index of consumer prices and adjusting the principal for inflation.
The return on inflation-linked bonds, therefore, includes a real return plus an additional component that is tied directly to the inflation rate.
All else equal, inflation-linked bonds typically exhibit lower return volatility than conventional bonds and equities do because the volatility of the returns on inflation-linked bonds depends on the volatility of real, rather than nominal, interest rates.
The volatility of real interest rates is typically lower than the volatility of nominal interest rates that drive the returns of conventional bonds and equities.
Many governments in developed countries and some in developing countries have issued inflation-linked bonds, as have financial and non-financial corporate issuers. For investors with long investment horizons, especially institutions facing long-term liabilities (for example, defined benefit pension plans and life insurance companies), inflation-linked bonds are particularly useful.
Adding inflation-indexed bonds to diversified portfolios of bonds and equities typically results in superior risk-adjusted real portfolio returns. This improvement occurs because inflation-linked bonds can effectively represent a separate asset class, since they offer returns that differ from those of other asset classes and add to market completeness. Introducing inflation-linked bonds to an asset allocation strategy can result in a superior mean–variance-efficient frontier.
EXAMPLE 1
Adding Fixed-Income Securities to a Portfolio
Mary is anxious about the level of risk in her portfolio because of a recent period of increased equity market volatility. Most of her wealth is invested in a diversified global equity portfolio.
She contacts two wealth management firms (Firm A and Firm B) for advice. In her conversations with each adviser, she expresses her desire to reduce her portfolio’s risk and to have a portfolio that generates a cash flow stream with consistent purchasing power over her 15-year investment horizon.
The correlation coefficient of Mary’s diversified global equity portfolio with a diversified fixed-coupon bond portfolio is –0.10 and with a diversified inflation-linked bond portfolio is 0.10. The correlation coefficient between a diversified fixed-coupon bond portfolio and a diversified inflation-linked bond portfolio is 0.65.
The adviser from Firm A suggests diversifying half of her investment assets into nominal fixed-coupon bonds. The adviser from Firm B also suggests diversification but recommends that Mary invest 25% of her investment assets in fixed-coupon bonds and 25% in inflation-linked bonds.
Evaluate the advice given to Mary by each adviser on the basis of her stated desires regarding portfolio risk reduction and cash flow stream. Recommend which advice Mary should follow, making sure to discuss the following concepts in your answer:
Diversification benefits
Cash flow benefits
Inflation-hedging benefits
Solution:
Advice from Firm A:
Diversifying into fixed-coupon bonds would offer substantial diversification benefits in lowering overall portfolio volatility (risk) given the negative correlation of –0.10. The portfolio’s volatility, measured by standard deviation, would be lower than the weighted sum of standard deviations of the diversified global equity portfolio and the diversified fixed-coupon bond portfolio. The portfolio will generate regular cash flows because it includes fixed-coupon bonds. This advice, however, does not address Mary’s desire to have the cash flows maintain purchasing power over time and thus serve as an inflation hedge.
Advice from Firm B:
Diversifying into both fixed-coupon bonds and inflation-linked bonds offers additional diversification benefits beyond that offered by fixed-coupon bonds only. The correlation between diversified global equities and inflation-linked bonds is only 0.10. The correlation between nominal fixed-coupon bonds and inflation-linked bonds is 0.65, which is also less than 1.0. The portfolio will generate regular cash flows because of the inclusion of fixed-coupon and inflation-linked bonds. Adding the inflation-linked bonds helps at least partially address Mary’s desire for consistent purchasing power over her investment horizon.
Which Advice to Choose:
On the basis of her stated desires and the analysis given, Mary should follow the advice provided by Firm B.
CLASSIFYING FIXED-INCOME MANDATES
Exhibit 5:
Fixed-Income Mandates
Liability-Based Mandates
Liability-based mandates are investments that take an investor’s future obligations into consideration. Liability-based mandates are managed to match or cover expected liability payments (future cash outflows) with future projected cash inflows. As such, they are also referred to as asset/liability management (ALM) or mandates that use liability-driven investments (LDIs). These types of mandates are structured in a way to ensure that a liability or a stream of liabilities (e.g., a company’s pension liabilities or those projected by insurance companies) can be covered and that any risk of shortfalls or deficient cash inflows is minimized. Cash flow matching is an immunization approach that attempts to ensure that all future liability payouts are matched precisely by cash flows from bonds or fixed-income derivatives. Duration matching is an immunization approach that is based on the duration of assets and liabilities. Ideally, the liabilities being matched (the liability portfolio) and the portfolio of assets (the bond portfolio) should be affected similarly by a change in interest rates. The mandates may use futures contracts (such as in a derivatives overlay) and, as in the case of contingent immunization—a hybrid approach that combines immunization with an active management approach when assets exceed the present value of liabilities—may allow for active bond portfolio management. Such liability-based mandates, which will be covered in detail later, are important because of their extensive use by such entities as pension plans and insurance companies.
Total Return Mandates
Total return mandates are generally managed to either track or outperform a market-weighted fixed-income benchmark, such as the Bloomberg Barclays Global Aggregate Bond Index. They are used by many types of investors, including individuals, foundations, endowments, sovereign wealth funds, and defined contribution retirement plans. Liability-based and total return mandates exhibit common features, such as the goal to achieve the highest risk-adjusted returns (or perhaps highest yields to maturity) given a set of constraints. The two types of mandates, however, have fundamentally different objectives. A common total return approach is pure indexing. It attempts to replicate a bond index as closely as possible and is sometimes referred to as “full replication.” Under this approach, the targeted active return (portfolio return minus benchmark return, also known as “tracking difference”) and active risk (annualized standard deviation of active returns, also known as the benchmark tracking risk or tracking error) are both zero. In practice, even if the active risk is zero, the realized portfolio return will almost always be lower than the corresponding index return because of trading costs and management fees. We will explain the limitations of this approach later, in our coverage of index-based strategies.
An enhanced indexing approach maintains a close link to the benchmark but seeks to generate some outperformance relative to the benchmark. As with the pure indexing approach, in practice, enhanced indexing allows small deviations in portfolio holdings from the benchmark index but tracks the benchmark’s primary risk factor exposures very closely (particularly duration). Unlike the pure indexing approach, however, minor risk factor mismatches (e.g., sector or quality bets) are used in enhanced indexing.
Active management allows larger risk factor mismatches relative to a benchmark index. These mismatches may cause significant return differences between the active portfolio and the underlying benchmark. Most notably, portfolio managers may take views on portfolio duration that differ markedly from the duration of the underlying benchmark. To take advantage of potential opportunities in changing market environments, active managers may incur significant portfolio turnover—often considerably higher than the underlying benchmark’s turnover. Active portfolio managers normally charge higher management fees than pure or enhanced indexing managers charge.
Exhibit 6:
Total Return Approaches: Key Features
Pure Indexing
Enhanced Indexing
Active Management
Objective
Match benchmark return and risk as closely as possible
Modest outperformance (generally 20–30 bps) of benchmark while active risk is kept low (typically around 50 bps or lower)
Higher outperformance (generally around 50 bps or more) of benchmark and higher active risk levels
Portfolio weights
Ideally the same as benchmark or only slight mismatches
Small deviations from underlying benchmark
Significant deviations from underlying benchmark
Target risk factor profile
Aims to match risk factors exactly
Most primary risk factors are closely matched (in particular, duration)
Large risk factor deviations from benchmark (in particular, duration; note that some active strategies do not take large risk factor deviations and focus on high idiosyncratic risk)
Turnover
Similar to underlying benchmark
Slightly higher than underlying benchmark
Considerably higher than underlying benchmark
Fixed-Income Mandates with ESG Considerations
Some fixed-income mandates include a requirement that environmental, social, and governance (ESG) factors be considered during the investment process. When considering these factors, an analyst or portfolio manager may look for evidence of whether the portfolio contains companies whose operations are favorable or unfavorable in the context of ESG and whether such companies’ actions and resource management practices reflect a sustainable business model. For example, the analyst or portfolio manager may consider whether a company’s activities involved significant environmental damage, instances of unfair labor practices, or lapses in corporate governance integrity. For companies that do not fare favorably in an ESG analysis, investors may assume that these companies are more likely to encounter future ESG-related incidents that could cause serious reputational and financial damage to the company. Such incidents could impair a company’s credit quality and result in a decline in both the price of the company’s bonds and the performance of a portfolio containing those bonds.
EXAMPLE 2
The Characteristics of Different Total Return Approaches
Exhibit 7:
Characteristics of Funds X, Y, and Z and the Bloomberg Barclays Global Aggregate Bond Index
Risk and Return Characteristics
Fund X
Fund Y
Fund Z
Bloomberg Barclays Global Aggregate Bond Index
Average maturity (years)
8.61
8.35
9.45
8.34
Modified duration (years)
6.37
6.35
7.37
6.34
Average yield to maturity (%)
1.49
1.42
1.55
1.43
Convexity
0.65
0.60
0.72
0.60
Quality
AAA
41.10
41.20
40.11
41.24
AA
15.32
15.13
14.15
15.05
A
28.01
28.51
29.32
28.78
BBB
14.53
14.51
15.23
14.55
BB
0.59
0.55
1.02
0.35
Not rated
0.45
0.10
0.17
0.05
Maturity Exposure
0–3 years
21.43
21.67
19.20
21.80
3–5 years
23.01
24.17
22.21
24.23
5–10 years
32.23
31.55
35.21
31.67
10+ years
23.33
22.61
23.38
22.30
Country Exposure
United States
42.55
39.44
35.11
39.56
Japan
11.43
18.33
13.33
18.36
France
7.10
6.11
6.01
6.08
United Kingdom
3.44
5.87
4.33
5.99
Germany
6.70
5.23
4.50
5.30
Italy
4.80
4.01
4.43
4.07
Canada
4.44
3.12
5.32
3.15
Other
19.54
17.89
26.97
17.49
Notes: Quality, maturity exposure, and country exposure are shown as a percentage of the total for each fund and the index. Weights do not always sum to 100 because of rounding. Historical data used as of February 2016.
Source: Barclays Research.
Solution:
Fund X most likely uses an enhanced indexing approach. Fund X’s modified duration and convexity are very close to those of the benchmark but still differ slightly. The average maturity of Fund X is slightly longer than that of the benchmark, whereas Fund X’s average yield to maturity is slightly higher than that of the benchmark. Fund X also has deviations in quality, maturity exposure, and country exposures from the benchmark, providing further evidence of an enhanced indexing approach. Some of these deviations are meaningful; for example, Fund X has a relatively strong underweighting in Japan.
Fund Y most likely uses a pure indexing approach because it provides the closest match to the Bloomberg Barclays Global Aggregate Bond Index. The risk and return characteristics are almost identical for Fund Y and the benchmark. Furthermore, quality, maturity exposure, and country exposure deviations from the benchmark are very minor.
Fund Z most likely uses an active management approach because risk and return characteristics, quality, maturity exposure, and country exposure differ markedly from the index. The difference can be seen most notably with the mismatch in modified duration (7.37 for Fund Z versus 6.34 for the benchmark). Other differences between Fund Z and the index exist, but a sizable duration mismatch provides the strongest evidence of an active management approach.
Last updated
