Asset Pricing in Discrete Time
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Product Description
Product Description
Relying on the existence, in a complete market, of a pricing kernel, this book covers the pricing of assets, derivatives, and bonds in a discrete time, complete markets framework. It is primarily aimed at advanced Masters and PhD students in finance. -- Covers asset pricing in a single period model, deriving a simple complete market pricing model and using Stein's lemma to derive a version of the Capital Asset Pricing Model. -- Looks more deeply into some of the utility determinants of the pricing kernel, investigating in particular the effect of non-marketable background risks on the shape of the pricing kernel. -- Derives the prices of European-style contingent claims, in particular call options, in a one-period model; derives the Black-Scholes model assuming a lognormal distribution for the asset and a pricing kernel with constant elasticity, and emphasizes the idea of a risk-neutral valuation relationship between the price of a contingent claim on an asset and the underlying asset price. -- Extends the analysis to contingent claims on assets with non-lognormal distributions and considers the pricing of claims when risk-neutral valuation relationships do not exist. -- Expands the treatment of asset pricing to a multi-period economy, deriving prices in a rational expectations equilibrium. -- Uses the rational expectations framework to analyse the pricing of forward and futures contracts on assets and derivatives. -- Analyses the pricing of bonds given stochastic interest rates, and then uses this methodology to model the drift of forward rates, and as a special case the drift of the forward London Interbank Offer Rate in the LIBOR Market Model.
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Instructors who adopt the book for teaching may ask one of the authors for the solution set for the end of chapter exercises.
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Customer Reviews
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
Format:Hardcover
I have read two chapters so far and really enjoy the reading. This textbook is definitely more accessible than several other text books, and the treatment of background risks is impressively clear and intelligible. In discrete time setting, this book seems to be the best choice for the first year doctoral students.
Most Helpful Customer Reviews on Amazon.com (beta)
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1 review
1 of 1 people found the following review helpful
Not a good choice.
25 Mar 2006
Format:Hardcover
While the description sounds intersting, the book turns out to be a horrible read. Not only do most sections read like a rough set of lecture notes, they are also quite often poorly structured. Most importantly, the authors seem to be confused about simple concepts from mathematics and probability (like differentiability of functions and properties of expectations of random variables).
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