Security Markets VIII Miloslav S. Vosvrda Teorie financnich trhu Portfolio Control Problem We apply Ito‘s Lemma to the following portfolio control problem. We assume that a risky security has a price process S satisfying the stochastic differential equation dS t mS t dt vS t dBt , t 0, and pays dividends at the rate of St at any time t, where m, v and are strictly positive scalars. We may scalars. We may think heuristically of m 2 as the „instantaneous expected rate of return„ and as the „instantaneous variance of the rate of return„. A riskless security has a price that is always one, and pays dividends at the constant interest rate r, where 0 r m . Let X X t : t 0 denote the stochastic process for the wealth of an agent who may invest in the two given securities and withdraw funds for consumption at the rate ct at any time t 0 . If at is the fraction of total wealth invested at time t in the risky security, it follows that X satisfies the stochastic differential equation: dXt at X (m )dt at Xt vdBt (1 at ) Xt rdt ct dt , which should be easily enough interpreted. Simplifying, dX t at X t (m r ) rX t ct dt at X t v dBt . We assume that wealth constraint is X t 0 for t We suppose that our investor derives utility from a consumption process c ct : t 0 according to t U c E 0 e uct dt , where 0 is a discount factor, and u is a strictly increasing, differentiable, and strictly concave function. The problem of optimal choice of portfolio at and consumption rate ct is solved as follows. Of course, ct and at can only depend on the information available at time t . Because the wealth X t constitutes all relevant information at any time t, we may limit ourselves without loss of generality to the case at AXt and ct CXt for some (measurable) functions A and C. We suppose that A and C are optimal, and note that dX t X t dt X t dBt ;X 0 w, where x Axxm r rx Cx, x Axxv, and w>0 is the given initial wealth. Indirect utility The indirect utility for wealth w is t V w E e uC X t dt . 0 For any time T 0 we can break this expression into two parts: T t V w E e uC X t dt E esuC X s ds 0 T Taking s T T t T V w E e uCXt dt e E e uCX d 0 0 T t T E e uCXt dt e EV XT . 0 eTVw Adding and subtracting e EVXT Vw e T T T T 1Vw E e uCXt dt 0. 0 We divide each term by T and take limits as T converges to 0, using Ito‘s Lemma and l‘Hopital‘s Rule to arrive at DV w V w u C w 0 , where 1 2 DV w Awwm r rw C wV w V wAwwv . 2 A and C are optimal If A and C are indeed optimal, that is, if they maximize Vw , then they must maximize t T E e uC X t dt e V X t 0 T for any time T. This is equivalent to the problem: DV w V w u C w . max A w ,C w Necessary conditions u C w V w 0 m r wV w V wAww v 2 2 0. Solving, and V ( w)(m r ) A( w) 2 V ( w)v w C ( w ) g V ( w ) , where g is the function inverting u . An example u ct ct If for some scalar risk aversion coefficient 0,1, 1 / 1 then g y y / .Substituing C and A from these expressions into DV w V w u C w 0 , leaves a second order differential equation for V that has a general solution V w kw . It follows that 2 Aw m r / v 1 and C w w, where ( r ) ( m r ) . 1 (1 ) 2 In other words, it is optimal to consume at a rate given by a fixed fraction of wealth and to hold a fixed fraction of wealth in the risky asset. It is a key fact that the objective function max A w ,C w DV w V w u C w . is quadratic in A(w). This property carries over to a general constinuous-time setting. As the Consumption-Based Capital Asset Pricing Model (CCAPM) holds for quadratic utility functions, we should not then be overly surprised to learn that a version of the CCAPM applies in continuous-time, even for agents whose preferences are not strictly varience averse.
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