Constructing Coupon-Neutral Constant-Maturity Bond Returns
Summary
The document addresses how to compare bond returns across groups when coupon rates differ and may distort aggregated liquidity measures such as the Amihud ratio. It proposes constructing constant-maturity hypothetical bonds from a fitted yield curve. At each month end, the index rolls into a new par bond of the target maturity; that bond is held through the next month, with daily values and returns marked from the fitted curve. The same procedure can be adapted to zero-coupon bonds to reduce coupon-related differences.
The cited experience with constant-maturity indices notes that their returns can exceed those of benchmark bond indices because they maintain longer durations and avoid the pricing pattern of actual issues that may be rich at issuance and cheapen as they age. These synthetic series emphasize yield-curve movements, but they may not represent achievable investment performance. Their suitability depends on whether the research objective is curve analysis or tracking an investable portfolio; the document does not provide a full implementation recipe for the proposed zero-coupon adaptation.
Key ideas
- Fitted yield curves can be used to value hypothetical bonds at a constant maturity.
- Rolling into a new par bond monthly helps standardize coupon effects across the return series.
- Daily repricing of the held hypothetical bond provides daily returns between monthly rolls.
- Synthetic constant-maturity indices can differ from benchmark returns because of duration and issue-specific pricing effects.
- Curve-based returns may improve analysis of yield dynamics while falling short of actual investable performance.
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Full text
# Transforming coupon bond returns to ZC bond returns # Transforming coupon bond returns to ZC bond returns I am interested in aggregated Amihud ratios measures over bond groups. For a large panel data set with daily bond prices and volumes I have calculated already Amihud ratios per ISIN/day. Naive aggregation of the Amihud ratios over subgroups of bonds would yield biased results however, as daily returns appear to be increasing in Coupon rates. The question is: Is there a computational way to immunize differences in coupon rates across bonds, i.e. is there an approach to construct daily zero coupon returns to increase comparability? ## Answer by Helin (score 0, accepted) https://quant.stackexchange.com/a/19109 Back when I had lots of free time, I used to publish a series of constant maturity par bond total return indices (http://hungrydummy.com/datacenter/). Because these are "par" bonds, they are immune to coupon effects. I briefly described the computational methodology on that page, which is copied below. The same methodology can be used to create constant maturity zero bond returns. > The Constant Maturity Total Return Indices are constructed using the Gurkaynak, Sack, and Wright’s fitted curves. More specifically, I assume the index rolls into a new par bond at the end of each month. This same bond is then held through the following month, with daily returns marked again with the GSW fitted curves. Note that the returns reported here are higher than the returns of comparable benchmark bond indices (annualized excess return of 1.5% for 10s since 1981). Here are a few reasons: 1) Bonds in my indices typically have higher durations than benchmark issues. For example, if 10-year notes are issued once a year, then 11 months after issuance, the bond in the benchmark index would have only 9.1 years to maturity. In my index, the bonds would have at least 9.9 years to maturity, since they are rolled into new 10-year bonds monthly. 2) Benchmark bonds tend to be rich at issuance, and gradually cheapen as they age, thus reducing their returns, all else equal. Hypothetical bonds created with fitted curves don’t suffer from this issue. It’s debatable whether it’s a good idea to use hypothetical bonds, since an index should ideally reflect actual investable performance. I devised these indices mainly because most bond indices do not have long enough a history and do not provide the kind of granularity I’m interested in. On the other hand, my indices more accurately reflect yield curve dynamics, instead of being plagued by other idiosyncratic factors. Furthermore, it sheds some light on possible return enhancement opportunities. For example, instead of rolling on-the-run issues, buying and holding cheaper off-the-run issues not trading special in the repo market may generate higher returns.
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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.