Reading 21 Relative-Value Methodologies for Global Credit Bond Portfolio Management Flashcards
Relative value
Relative value refers to the ranking of fixed-income investments by sectors, structures, issuers, and issues in terms of their expected performance during some future period of time.
For a day trader, relative value may carry a maximum horizon of a few minutes. For a dealer, relative value may extend from a few days to a few months. For a total return investor, the relative value horizon typically runs from 1–3 months. For a large insurer, relative value usually spans a multi-year horizon.
Accordingly, relative-value analysis refers to the methodologies used to generate such rankings of expected returns.
Classic Relative-Value Analysis
There are two basic approaches to global credit bond portfolio management—top-down approach and bottom-up approach. The top-down approach focuses on high-level allocations among broadly defined credit asset classes. The goal of top-down research is to form views on large-scale economic and industry developments. These views then drive asset allocation decisions (overweight certain sectors, underweight others). The bottom-up approach focuses on individual issuers and issues that will outperform their peer groups. Managers follow this approach hoping to outperform their benchmark due to superior security selection, while maintaining neutral weightings to the various sectors in the benchmark.
Classic relative-value analysis is a dialectical process combining the best of top-down and bottom-up approaches. This process blends the macro input of chief investment officers, strategists, economists, and portfolio managers with the micro input of credit analysts, quantitative analysts, and portfolio managers. The goal of this methodology is to pick the sectors with the most potential upside, populate these favored sectors with the best representative issuers, and select the structures of the designated issuers at the yield curve points that match the investor’s for the benchmark yield curve.
!!! If bond markets were perfectly efficient then relative-value analysis would not lead to superior returns on a consistent basis.
Relative-Value Methodologies
The main methodologies for credit relative-value maximization are:
- total return analysis;
- primary market analysis;
- liquidity and trading analysis;
- secondary trading rationales and constraints analysis;
- spread analysis;
- structure analysis;
- credit curve analysis;
- credit analysis;
- asset allocation/sector analysis.
Total Return Analysis
Credit relative-value analysis begins with a detailed dissection of past returns and a projection of expected returns:
- For the entire asset class and major contributing sub-sectors (such as banks, utilities, pipelines, Baa/BBB’s, etc.), how have returns been formed?
- How much is attributed to credit spread movements, sharp changes in the fundamental fortunes of key issuers, and yield curve dynamics?
Thanks to the development of total return indices for credit debt (databases of prices, spreads, issuer, and structure composition), analyses of monthly, annual, and multi-year total returns have uncovered numerous patterns (i.e., large issue versus small issue performance variation, seasonality, election-cycle effects, and government benchmark auction effects) in the global credit market. Admittedly, these patterns do not always re-occur. But an awareness and understanding of these total-return patterns are essential to optimizing portfolio performance.
Primary Market Analysis
The analysis of primary markets centers on new issue supply and demand. Supply is often a misunderstood factor in tactical relative-value analysis. Prospective new supply induces many traders, analysts, and investors to advocate a defensive stance toward the overall corporate market as well as toward individual sectors and issuers. Yet the premise, “supply will hurt spreads,” which may apply to an individual issuer, does not generally hold up for the entire credit market.
Credit spreads are determined by many factors; supply, although important, represents one of many determinants. During most years, increases in issuance (most notably during the first quarter of each year) are associated with market-spread contraction and strong relative returns for credit debt. In contrast, sharp supply declines are accompanied frequently by spread expansion and a major fall in both relative and absolute returns for credit securities.
In the investment-grade credit market, heavy supply often compresses spreads and boosts relative returns for credit assets as new primary valuations validate and enhance secondary valuations. When primary origination declines sharply, secondary traders lose reinforcement from the primary market and tend to reduce their bids, which will increase the spread. Contrary to the normal supply-price relationship, relative credit returns often perform best during periods of heavy supply.
The Effect of Market-Structure Dynamics
Given their immediate focus on the deals of the day and week, portfolio managers often overlook short-term and long-term market-structure dynamics in making portfolio decisions. Because the pace of change in market structure is often gradual, market dynamics have less effect on short-term tactical investment decision-making than on long-term strategy.
Although the ascent of derivatives and high-yield instruments stands out during the 1990s, the true globalization of the credit market was the most important development.
The Effect of Product Structure
Partially offsetting this proliferation of issuers since the mid-1990s, the global credit market has become structurally more homogeneous. Specifically, bullet and intermediate-maturity structures have come to dominate the credit market. A bullet maturity means that the issue is not callable, putable, or sinkable prior to its scheduled final maturity. The trend toward bullet securities does not pertain to the high-yield market, where callables remain the structure of choice.
There are three strategic portfolio implications for this structural evolution:
- First, the dominance of bullet structures translates into scarcity value for structures with embedded call and put features. That is, credit securities with embedded options have become rare and therefore demand a premium price. Typically, this premium (price) is not captured by option-valuation models. Yet, this “scarcity value” should be considered by managers in relative-value analysis of credit bonds.
- Second, bonds with maturities beyond 20 years are a small share of outstanding credit debt. This shift reduced the effective duration of the credit asset class and cut aggregate sensitivity to interest-rate risk. For asset/liability managers with long time horizons, this shift of the maturity distribution suggests a rise in the value of long credit debt.
- Third, the use of credit derivatives has skyrocketed since the early 1990s. The rapid maturation of the credit derivative market will lead investors and issuers to develop new strategies to match desired exposures to credit sectors, issuers, and structures.
Liquidity and Trading Analysis
Short-term and long-term liquidity needs influence portfolio management decisions. Citing lower expected liquidity, some investors are reluctant to purchase certain types of issues such as small-sized issues (less than $1.0 billion), private placements, MTNs, and non-local corporate issuers. Other investors gladly exchange a potential liquidity disadvantage for incremental yield. For investment-grade issuers, these liquidity concerns often are exaggerated.
The liquidity of credit debt changes over time. Specifically, liquidity varies with the economic cycle, credit cycle, shape of the yield curve, supply, and the season. As in all markets, unknown shocks, like a surprise wave of defaults, can reduce credit debt liquidity as investors become unwilling to purchase new issues at any spread and dealers become reluctant to position secondary issues except at very wide spreads.
Popular Reasons for Trading
Popular Reasons for Trading:
- Yield/Spread Pickup Trades
- Credit-Upside Trades
- Credit-Defense Trades
- New Issue Swaps
- Sector-Rotation Trades
- Curve-Adjustment Trades
- Structure Trades
- Cash Flow Reinvestment
Yield/Spread Pickup Trades
- Yield/spread pickup trades represent the most common secondary transactions across all sectors of the global credit market. Historically, at least half of all secondary swaps reflect investor intentions to add additional yield within the duration and credit-quality constraints of a portfolio.
- Despite the passage of more than three decades, this investor bias toward yield maximization also may be a methodological relic left over from the era prior to the introduction and market acceptance of total-return indices. Yield measures have limitations as an indicator of potential performance. The total return framework is a superior framework for assessing potential performance for a trade.
Credit-Upside Trades
- Credit-upside trades take place when the debt asset manager expects an upgrade in an issuer’s credit quality that is not already reflected in the current market yield spread.
- The manager must be able to identify a potential upgrade before the market, otherwise the spread for the upgrade candidate will already exhibit the benefits of a credit upgrade.
- Credit-upside trades are particularly popular in the crossover sector—securities with ratings between Ba2/BB and Baa3/BBB—by two major rating agencies.
Credit-Defense Trades
- Credit-defense trades become more popular as geopolitical and economic uncertainty increase.
- Ironically once a credit is downgraded by the rating agencies, internal portfolio guidelines often dictate security liquidation immediately after the loss of single-A or investment-grade status. This is usually the worst possible time to sell a security and maximizes losses incurred by the portfolio.
New Issue Swaps
- New issue swaps contribute to secondary turnover. Because of perceived superior liquidity, many portfolio managers prefer to rotate their portfolios gradually into more current and usually larger sized on-the-run issues.
- In addition, some managers use new issue swaps to add exposure to a new issuer or a new structure.
Sector-Rotation Trades
Sector-rotation trades, within credit and among fixed-income asset classes, have become more popular since the early 1990s. In this strategy, the manager shifts the portfolio from a sector or industry that is expected to underperform to a sector or industry which is believed will outperform on a total return basis. With the likely development of enhanced liquidity and lower trading transaction costs across the global bond market in the early 21st century, sector-rotation trades should become more prevalent in the credit asset class.
Curve-Adjustment Trades
- Yield curve-adjustment trades, or simply, curve-adjustment trades are taken to reposition a portfolio’s duration. For most credit investors, their portfolio duration is typically within a range from 20% below to 20% above the duration of the benchmark index.
- Although most fixed-income investors prefer to alter the duration of their aggregate portfolios in the more-liquid Treasury market, strategic portfolio duration tilts also can be implemented in the credit market.
- This is also done with respect to anticipated changes in the credit term structure or credit curve. For example, if a portfolio manager believes credit spreads will tighten (either overall or in a particular sector), with rates in general remaining relatively stable, they might shift the portfolio’s exposure to longer spread duration issues in the sector.
Structure Trades
Structure trades involve swaps into structures (e.g., callable structures, bullet structures, and putable structures) that are expected to have better performance given expected movements in volatility and the shape of the yield curve.
Cash Flow Reinvestment
- Cash flow reinvestment forces investors into the secondary market on a regular basis.
- Some portfolio cash inflows occur during interludes in the primary market or the composition of recent primary supply may not be compatible with portfolio objectives. In these periods, credit portfolio managers must shop the secondary market for investment opportunities to remain fully invested or temporarily replicate the corporate index by using financial futures.