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Asset Pricing John H. Cochrane June 12, 2000

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CHAPTER 3 CONTINGENT CLAIMS MARKETS<br />

planner’s objective. The first order condition to this problem is<br />

λiu 0 (c i t)=λju 0 (c j<br />

t)<br />

and hence the same risk sharing that we see in a complete market, equation (3.49).<br />

This simple fact has profound implications. First, it shows you why only aggregate shocks<br />

should matter for risk prices. Any idiosyncratic income risk will be equally shared, and so<br />

1/N of it becomes an aggregate shock. Then the stochastic discount factors m that determine<br />

asset prices are no longer affected by truly idiosyncratic risks. Much of this sense that only<br />

aggregate shocks matter stays with us in incomplete markets as well.<br />

Obviously, the real economy does not yet have complete markets or full risk sharing –<br />

individual consumptions do not move in lockstep. However, this observation tells us much<br />

about the function of securities markets. Security markets – state-contingent claims – bring<br />

individual consumptions closer together by allowing people to share some risks. In addition,<br />

better risk sharing is much of the force behind financial innovation. Many successful new<br />

securities can be understood as devices to more widely share risks.<br />

3.5 State diagram and price function<br />

I introduce the state space diagram and inner product representation for prices, p(x) =<br />

E(mx) =m · x.<br />

p(x) =E(mx) implies p(x) is a linear function.<br />

Think of the contingent claims price pc and asset payoffs x as vectors in R S , where each<br />

element gives the price or payoff to the corresponding state,<br />

pc = £ pc(1) pc(2) ··· pc(S) ¤ 0 ,<br />

x = £ x(1) x(2) ··· x(S) ¤ 0 .<br />

Figure 7 is a graph of these vectors in R S . Next, I deduce the geometry of Figure 7.<br />

The contingent claims price vector pc points in to the positive orthant. We saw in section<br />

3.3 that m(s) =u 0 [c(s)]/u 0 (c). Now, marginal utility should always be positive (people<br />

always want more), so the marginal rate of substitution and discount factor are always nonnegative,<br />

m>0 and pc > 0. Don’t forget, m and pc are vectors, or random variables. Thus,<br />

m>0 means the realization of m is positive in every state of nature, or, equivalently every<br />

element of the vector m is positive.<br />

The set of payoffs with any given price lie on a (hyper)plane perpendicular to the contin-<br />

60

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