************************************************************************* Department of Mathematical Sciences The Johns Hopkins University SEMINAR ************************************************************************* Professor M. Ali Khan March 2, 2000 Department of Economics 304 Whitehead Hall The Johns Hopkins University Preseminar: 3:00 p.m. Refreshments: 3:30 p.m. Seminar: 4:00 p.m. ************************************************************************* ASSET PRICING MODELS AND THE LAW OF LARGE NUMBERS WITH A CONTINUUM OF RANDOM VARIABLES ************************************************************************* ABSTRACT This talk draws on joint work with Yeneng Sun. In it, I present a model of a financial market which captures the main ingredients of the Sharpe-Lintner capital-asset-pricing model (CAPM) and of the arbitrage pricing theory (APT) of Ross. In the model, an asset's unexpected return can be decomposed into a _systematic_ part and an _unsystematic_ part, as in the APT, and the systematic part can be further decomposed into an _essential_ part and an _inessential_ part, as in the CAPM. This tri-partite decomposition leads to a pricing formula expressed in terms of a beta that is based on a specific index portfolio identifying essential risk, and constructed from factors and factor loadings that are endogenously extracted from the process of asset returns by a procedure analogous to the Karhunen-Loeve expansion of continuous time stochastic processes. The idealized limit model is based on a continuum of assets indexed by a hyperfinite Loeb measure space, and it is asymptotically implementable in a setting with a large but finite number of assets. *************************************************************************