19 of 23 people found the following review helpful:
4.0 out of 5 stars
Helpful addition to comprehension and discussion, but with frustrating errors....not for amatures, April 2, 2007
This review is from: The LIBOR Market Model in Practice (The Wiley Finance Series) (Hardcover)
Pricing interest rate derivatives with short term interest rate models has been like a game of FANTAN for nearly a decade, until the LIBOR Market Model (LMM, aka the BGM model) came along. Before, everyone was using Vasicek and periodically someone would sweep the table of everyone's winnings. In the discrete world of increasingly complex structured trades and advancing "mark to market" mandates driven by bank regulators and BASEL II, the seat of the pants confessions of exotic interest rate traders using cobbled together non-published short term interest rate models for valuation fell under justified suspicions.
Along comes BGM (Brace-Gatarek-Musiela)....while not exactly "to the rescue" giant sighs of relief were expelled worldwide as it has been widely adopted, as the ghostly hand of Fischer Black almost endorses it from beyond.
BGM is especially beloved by those who have to price complex derivatives and exotics because fundamental inputs are a snap to observe: a set of LIBOR forward rates. (Actually, anyone should love this feature). Then the fun starts, each forward rate is modelled by a (pesky, defensible, arguable) lognormal process first made famous and advocated by Fischer Black. The LMM (BGM) model therefore is simplistically looked at as a collection of little Black models. The trouble is, how do we collect them and calibrate them?
So it isn't just that simple, and this book explains in more detail just what the BGM model is, explores uses and limitations, etc.
Use the "LOOK INSIDE" feature to see the contents, but briefly there are three parts - theory, calibration and simulation. Drift is the topic of the day, and BGM don't disappoint. The parametric and nonparametric calibrations section is impenetrable to me, but this isn't my space.
Smile modelling has gotten into a chant at a football match: "uncertain volatility approach" shouts one side, "ARCH, GARCH, FART" shouts the other. Whatever. If you really want to dig into the volatility argument I suggest Knight & Stachell's third edition of "Forecasting Volatility" but you'll need your head examined before you can keep the players straight and need a scorecard handy. A discussion and comparison of HJM (Heath-Jarrow-Morton) in comparison and contrast with BGM is covered here.
Okay, the problems: this book is written in Engrishlovakian, not English. The copy editor should be shot.
There are lots, and I mean LOTS of typos, of which about 50% are easy to figure out what was intended. The other 50% enjoy too high an uncertainty coefficient to be comprehensible. An ERRATA sheet should be inserted into copies of future shipments ASAP.
Which leads me to my gigantic Grand Canyon-size hole in my knowledge: I just skip about 60% of the equations I read in any book, expecting the narrative to support what is explicit in the equations. I have no idea if these equations are edited correctly, and I suspect they are better than the English...but on the other hand, the English is so poor it makes you suspect the whole darn thing.
Who is this book for: general quantfin readers like me will find this tough sledding, this is a printed whiteboard and marker walk through of BGM from start to finish with current state-of-the-art discussions (with unfortunately a lot of whiteboard sloppiness mapped into the "book" state space). I suspect that as a conversation among experts, this book is a nice round-up straight from the source. Experts can probably see past the errors easier than others and both find it sloppy, but still comprehensible. I would dis-recommend this book for a clueless beginner, as the text assumes a readership pretty familiar with the complex and not-inconsiderably large discussion of forward rate and term structure models. For example, maximum smoothness of cubic splines are pretty much assumed and quite possibly laughed at by this crowd.
James "Not-Vasichek"
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