Do Equity Factors Work in Bond Markets?

If value, momentum, and carry reliably predict equity returns, should they not also predict returns in the much larger corporate bond market? The question is more than academic: global corporate debt outstanding exceeds $40 trillion, yet factor-based approaches that have transformed equity allocation remain relatively uncommon in fixed income. Israel, Palhares, and Richardson (2018) tackled this asymmetry directly, constructing factor portfolios from over 10,000 US corporate bonds between 1997 and 2015. Their findings confirm that value, momentum, and carry premia exist in credit markets — but that they behave differently from their equity cousins in ways that reshape how investors should think about multi-asset factor allocation.
For readers new to factor investing, our primer covers the foundational concepts before diving into fixed income applications.How Bond Factors Are Constructed
Applying equity factor definitions to bonds requires meaningful translation. A stock's book-to-market ratio has no direct analogue in credit markets. Israel, Palhares, and Richardson adapted the definitions as follows.
Factor Definitions: Equity vs Corporate Bond
| Factor | Equity Definition | Corporate Bond Definition |
|---|---|---|
| Value | Book-to-market, earnings yield | Credit spread relative to rating and maturity peers |
| Momentum | Trailing 6-12 month total return | Trailing 6-month excess return over duration-matched Treasuries |
| Carry | Dividend yield or earnings yield | Option-adjusted spread per unit of duration |
For value, the authors measured how wide a bond's spread is relative to bonds with similar credit quality and maturity. A bond trading at 200 basis points over Treasuries when similarly rated peers trade at 120 is "cheap" — the fixed income analogue of a high book-to-market stock.
Momentum in bonds is computed using excess returns over duration-matched government benchmarks rather than raw total returns. This removes the interest rate component and isolates the credit-specific signal — a distinction that matters because rate movements can dominate bond returns in ways that have nothing to do with issuer-level information.
Carry captures the expected return from holding a bond and collecting its spread, adjusted for duration exposure. Bonds with high carry offer generous income relative to the interest rate risk they impose, analogous to high-dividend equities in the carry trade framework.
The Evidence: Bond Factors Deliver
Israel, Palhares, and Richardson sorted their universe into quintile portfolios and examined long-short factor returns. The results were unambiguous across all three dimensions.
Corporate Bond Factor Performance (1997-2015)
| Factor | Long-Short Annualized Return | Sharpe Ratio | t-statistic |
|---|---|---|---|
| Value | 3.1% | 0.72 | 3.45 |
| Momentum | 4.2% | 0.84 | 4.12 |
| Carry | 3.8% | 0.91 | 4.67 |
| Combined (equal-weight) | 5.4% | 1.22 | 5.81 |
The combined portfolio produced a Sharpe ratio above 1.2, driven partly by low correlations among the three factors. A bond that is simultaneously cheap (high value), trending positively (momentum), and offering generous income relative to its risk (high carry) captures three partially independent sources of return.
Houweling and van Zundert (2017) replicated similar results in European corporate bond markets, reinforcing that these patterns are not confined to US credit. Their analysis of EUR-denominated investment-grade and high-yield bonds between 2001 and 2015 found factor premia of comparable magnitude, with momentum producing the strongest standalone risk-adjusted returns in the European sample.
Where Bond Factors Diverge from Equity Factors
The surface-level similarity between equity and bond factor premia masks important structural differences that affect implementation.
Correlation Between Equity and Bond Factor Returns
Asness, Moskowitz, and Pedersen (2013) documented that value and momentum are present across many asset classes, but their correlations across markets are modest. Israel, Palhares, and Richardson extended this finding to corporate bonds specifically: corporate bond momentum correlates roughly 0.35 with equity momentum in the same issuer's stock, meaning about two-thirds of the bond momentum signal is independent.
This partial independence has a direct portfolio implication. A multi-asset factor strategy that combines equity and bond momentum captures diversification benefits that a single-asset approach misses. The same holds for carry: Koijen, Moskowitz, Pedersen, and Vrugt (2018) showed that carry portfolios in bonds, currencies, commodities, and equity indices share a common component but retain substantial idiosyncratic variation.
Transaction Costs and Liquidity Constraints
The most significant practical divergence between equity and bond factor investing is liquidity. Corporate bonds trade over-the-counter with wide bid-ask spreads, infrequent transactions, and considerable price opacity. A typical investment-grade corporate bond might trade a handful of times per week; many high-yield issues go days without a transaction.
This liquidity environment constrains factor implementation in at least two ways. First, momentum strategies require more frequent rebalancing than value or carry, and the transaction costs in bonds erode a larger share of the gross momentum premium than in equities. Israel, Palhares, and Richardson estimated that approximately 40% of the gross momentum premium is consumed by trading costs, compared with roughly 15-25% in equities.
Second, capacity in bond factor strategies is limited by market depth. A strategy that works on paper with $100 million may face severe price impact at $1 billion. This capacity constraint helps explain why bond factor premia have persisted despite being documented: the arbitrage capital required to eliminate them encounters friction that equity factor arbitrageurs do not face to the same degree.
The carry trade across currencies faces analogous implementation challenges where gross premia exceed net after accounting for execution costs.Decomposing the Sources: Risk or Mispricing?
A core question in any factor research is whether premia reflect compensation for bearing systematic risk or exploitation of persistent mispricing. For bond factors, both channels appear operative.
Carry is the most clearly risk-based factor. Bonds with high option-adjusted spreads per unit of duration expose investors to credit deterioration, downgrades, and potential default. The spread premium they earn compensates for bearing these risks — risks that materialize most painfully during economic contractions when portfolio losses concentrate. Brooks and Moskowitz (2018) extended this logic to sovereign yield curves, showing that carry premia in government bonds reflect compensation for duration risk during rising-rate environments.
Value in bonds has a behavioral component. When a bond's spread widens relative to peers without a proportionate deterioration in credit fundamentals, the excess spread often reflects temporary risk aversion, forced selling by downgrade-constrained mandates, or index reconstitution effects. These dislocations create opportunities for patient investors willing to harvest mean reversion in spreads — similar to the value mechanism in equities where cheapness forecasts recovery.
Momentum in credit markets presents the most nuanced case. Part of the signal overlaps with the issuer's equity momentum, suggesting shared information flow. But the independent component likely reflects slow diffusion of credit-specific information — downgrade and upgrade cycles, covenant developments, and sector-level credit conditions that take time to embed fully in bond prices. The OTC trading structure in bonds, with less transparency and slower price discovery than equity exchanges, plausibly amplifies this informational friction.
The structural relationship between equity prices and credit spreads traces back to Merton's framework, where equity is a call option on firm assets.Assembling a Multi-Asset Factor Portfolio
The low correlation between equity and bond factor premia suggests a straightforward improvement to factor portfolios: extend factor tilts beyond equities.
A hypothetical allocation that combines equity value, equity momentum, bond value, bond carry, and currency carry achieves a higher Sharpe ratio than any single-asset factor portfolio alone. Asness, Moskowitz, and Pedersen documented this "everywhere" benefit across multiple asset classes, and the corporate bond evidence from Israel, Palhares, and Richardson fills in a critical piece that was previously under-researched.
Multi-Asset Factor Diversification
| Portfolio | Estimated Sharpe | Correlation to Equity Factors |
|---|---|---|
| Equity factors only | 0.75 | 1.00 |
| Bond factors only | 0.91 | 0.25 |
| Combined equity + bond factors | 1.15 | 0.68 |
| Full multi-asset (bonds + FX + commodities) | 1.35 | 0.45 |
These estimates, drawn from combining results across the cited studies, illustrate the diversification arithmetic. Because bond factor returns share only modest correlation with equity factor returns, blending them raises the portfolio-level Sharpe ratio without requiring additional leverage or complexity.
For individual investors, the practical entry point is simpler than it might appear. Several fixed income ETFs now incorporate factor tilts — systematically overweighting bonds that score well on value, momentum, or carry relative to their benchmark. These products offer a low-cost way to access bond factor premia without the operational complexity of building long-short credit portfolios.
What the Research Leaves Unresolved
The bond factor literature remains younger than its equity counterpart, and several questions await further investigation. The sample period for most studies begins in the late 1990s, when electronic bond trading and better data coverage became available. Whether these premia existed in earlier decades remains untested. The interaction between factor premia and credit cycles — specifically, whether bond momentum performs differently in widening versus tightening spread environments — is documented unevenly across studies. And the capacity question persists: as factor-based bond strategies attract more capital, the premia may compress in the same way equity factor crowding has reduced equity factor returns in recent years.
Despite these open questions, the core finding from Israel, Palhares, and Richardson stands on firm ground: the same economic forces that generate factor premia in equities — risk compensation, behavioral biases, and informational frictions — operate in corporate bond markets. Investors who restrict factor thinking to equities alone are leaving diversification and return potential on the table.
- Israel, R., Palhares, D., & Richardson, S. (2018). "Common Factors in Corporate Bond Returns." Journal of Financial Economics, 130(3), 619-642. https://doi.org/10.1016/j.jfineco.2018.02.009
- Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). "Value and Momentum Everywhere." The Journal of Finance, 68(3), 929-985. https://doi.org/10.1111/jofi.12021
- Koijen, R. S. J., Moskowitz, T. J., Pedersen, L. H., & Vrugt, E. B. (2018). "Carry." Journal of Financial Economics, 127(2), 197-225. https://doi.org/10.1016/j.jfineco.2017.11.002
- Houweling, P., & van Zundert, J. (2017). "Factor Investing in the Corporate Bond Market." Financial Analysts Journal, 73(1), 100-115. https://doi.org/10.2469/faj.v73.n1.2
- Brooks, J., & Moskowitz, T. J. (2018). "Yield Curve Premia." Working Paper. https://ssrn.com/abstract=2956411
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Written by Elena Vasquez · Reviewed by Sam
This article is based on the cited primary literature and was reviewed by our editorial team for accuracy and attribution. Editorial Policy.