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Consider a gambler who, at each gamble, either wins or loses her bet with respective probabilities pand 1-p. A popular gambling system known as the Kelley strategy is to always bet the fraction 2p-1of your current fortune when p>12. Compute the expected fortune afterngambles of a gambler who starts with xunits and employs the Kelley strategy.

Short Answer

Expert verified

The starts with xunits value are EXn=2p2+2(1-p)2n·x.

Step by step solution

01

Given Information

Compute the expected fortune afterx gambles of a gambler who starts with xunits and employs the Kelley strategy.

02

Explanation

Define random variables Xnn0that marks the amount of money that we have in timen. Suppose that we have Xn-1money and we invest it.

With probabilityp, we get (2p-1)Xn-1of additional money and we have (2p-1)Xn-1+Xn-1of money in time n.

On the other hand, if we lose the bet, we will have -(2p-1)Xn-1+Xn-1

of money in timen.

03

Explanation

Therefore,

EXnXn-1=p2pXn-1+(1-p)2(1-p)Xn-1

Substitute,

=Xn-12p2+2(1-p)2

In order to write and calculate more clearly, define α:=2p2+2(1-p)2.

04

Explanation

Applying the expectation to the previous equation, we have

EXn=αEXn-1

Which yields,

EXn=αnEX0

Substitute,

=2p2+2(1-p)2n·x

Since we are given that we start withx units.

05

Final answer

The start withxunits value found to beEXn=2p2+2(1-p)2n·x.

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Most popular questions from this chapter

Let X be the length of the initial run in a random ordering of n ones and m zeros. That is, if the first k values are the same (either all ones or all zeros), then X Ú k. Find E[X].

Two envelopes, each containing a check, are placed in front of you. You are to choose one of the envelopes, open it, and see the amount of the check. At this point, either you can accept that amount or you can exchange it for the check in the unopened envelope. What should you do? Is it possible to devise a strategy that does better than just accepting the first envelope? Let Aand B, A<B, denote the (unknown) amounts of the checks and note that the strategy that randomly selects an envelope and always accepts its check has an expected return of (A+B)/2. Consider the following strategy: Let F(·)be any strictly increasing (that is, continuous) distribution function. Choose an envelope randomly and open it. If the discovered check has the value x, then accept it with probability F(x)and exchange it with probability 1F(x).

(a) Show that if you employ the latter strategy, then your expected return is greater than (A+B)/2. Hint: Condition on whether the first envelope has the value Aor B. Now consider the strategy that fixes a value x and then accepts the first check if its value is greater than x and exchanges it otherwise. (b) Show that for any x, the expected return under thex-strategy is always at least (A+B)/2and that it is strictly larger than (A+B)/2if xlies between Aand B.

(c) Let X be a continuous random variable on the whole line, and consider the following strategy: Generate the value ofX, and if X=x, then employ the x-strategy of part (b). Show that the expected return under this strategy is greater than (A+B)/2.

Show that Xis stochastically larger than Yif and only ifE[f(X)]E[f(Y)]

for all increasing functions f..

Hint: Show that XstY, then E[f(X)]E[f(Y)]by showing that f(X)stf(Y)and then using Theoretical Exercise 7.7. To show that if E[f(X)]E[f(Y)]for all increasing functions f, then P{X>t}P{Y>t}, define an appropriate increasing function f.

The joint density of X and Y is given by

f(x,y)=12πe-ye-(x-y)2/20<y<,

-<x<

(a) Compute the joint moment generating function of X and Y.

(b) Compute the individual moment generating functions.

Let X be the value of the first die and Ythe sum of the values when two dice are rolled. Compute the joint moment generating function of X and Y.

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