Wednesday, September 2, 2009

Arithmetic Returns For Junk Biased

I noted in my book Finding Alpha that junk bonds have not outperformed investment grade bonds since data on junk bonds really became available, around 1987. This is the real corporate bond puzzle, in direct contrast to the corporate bond puzzle most academics address, which is the anomalously high return premium between BBB and AAA bonds (around 100 basis points annually).

Academics seem to consistently miss the big picture in corporate bonds, which to me is the lame returns on patently riskier junk bonds over the business cycle. For example, Steve Cecchetti’s textbook Money, Banking, and Financial Markets, immediately presents the seemingly straightforward example of how bonds with higher default rates have higher yields: Risk and return rise together. Yet, this is purely an anticipation of the default rates, and so is not risk in the sense of something priced. BBB bonds have, over time, about the same total return as B-rated bonds. One must subtract the expected defaults and the resulting losses from a stated yield regardless of one’s risk tolerance.

The successful and ubiquitous usage of one flavor of 'risk'—the mere statistical volatility and loss estimation—does not imply the second flavor of 'risk' relating to a priced factor affecting future returns as also ubiquitous and essential. The distinction between or default risk by itself and priced risk (a covariance with some systemic metric of aggregate happiness, such as GDP, the S&P500, or unemployment) is a fundamental distinction in modern risk-return theory, yet prominent professors conflate risks when useful for selling the old bromide that risk and return go together like shoes and socks. Financial professionals have a strong, perhaps unconscious, bias toward the big idea: Risk begets average returns.

In addition to stated yield vs. actual returns, or survivorship biases, there is the simple fact of the difference between an annual average, and a cumulative return. Basically, the difference between a geometric mean and an arithmetic mean. In bonds this is huge. As mentioned yesterday, bond returns were down 26% in 2008, but up 40% in 2009. Does that mean they have a 14% total return? No. Think (1-.26)*(1+.40) and you get an 3.6% total return. But remember, those numbers are from Merrill Lynch indices using a collection of highly illiquid bonds closing prices. Actual bond fund returns from the beginning of 2008 have been -1%. See below for a collection of returns from the subperiods, and note how they compare to the entire period.

Below are data through August 2009 for a collection of High Yield bond funds:
2008 Ret2009 Ret2008-9 Ret
BLACK-HI INC SHSHIS-3756-2
NEW AMER HI INCHYB-409417
HIGH YLD PLUS FDHYP-285914
MORGAN ST HI YLDMSY-27456
VAN KAMP HI INC2VLT-4559-12
MFS INTERMEDIATECIF-4056-6
PUTNAM MGD MUNIPMM-23333
MFS HIGH INC MUNCXE-43740
DWS HIGH INCOMEKHI-3039-3
MFS HIGH YIELD MCMU-38621
BLACKROCK-COR HYCOY-39768
BLACKROCK-SR HIGARK-4942-28
WESTERN ASSET INSBI-92211
PACHOLDER H/Y FDPHF-4884-4
FRANKLIN UNIVERSFT-4145-14
HIGH YLD INC FNDHYI-26403
MFS MUNI INC TSTMFM-36688
WESTERN ASSET MUMHF-51610
MORGAN ST MU IN3OIC-28334
DWS STR MUN INCMKSM-204919
MORGAN ST MU INOIA-3137-6
BLACKROCK-APEX MAPX-2736-1
FEDERATED I MUNIFPT-174521
MORGAN ST MU IN2OIB-333510
Average-3250-1

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