1. Entrepreneurial Perks: A risk-averse entrepreneur is considering selling stock in her company to the public....
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1. Entrepreneurial Perks: A risk-averse entrepreneur is considering selling stock in her company to the public. She will continue to manage the firm after it "goes public". The entrepreneur gets utility from income, X with mean X and variance V(X), and from the consumption of on-the-job perks, C, according to the expected utility function u(X, c) = X-V(X) + 100. The uncertain profits of the firm are Y-c: each dollar spent on perks reduces profit by a dollar. The variance of Y, (and thus of Y - c) is 0 = 2500- (a) The entrepreneur is currently the sole owner of the firm, receiving as income the firm's profit. What level of perks will she choose? (b) Now, suppose the entrepreneur sells a fraction a>0 of the firm to risk-neutral investors, retaining (1-a) for herself. Thus, the entreprenuer receives as income whatever amount the investors pay for this fraction of the firm, say M(a), and then gets her share, (1 a)(Y - c), of the random profit. The variance of her income is thus (1 -a)2o. What is the relationship between a, the fraction of ownership the entrepreneur sells, and the level of perks c(a) she will subsequently choose? Does c(a) maximize total value (the expected utility of the entrepreneur plus that of the investor)? Explain. (c) Assume that competition among investors leads them to pay an amount for any given ownership share equal to the profits they expect to receive. How much will the enterpreneur receive from selling a fraction of the firm if investors cor- rectly anticipate the level of c(a) that the entrepreneur will choose after selling that fraction of the firm? What is the realized level of expected utility for the entrepreneur from selling a fraction of the firm if the investors have correct expectations? Show that the optimal level of a solves a = (1 - a) (so, ap- proximately a = 0.2755). Could the entrepreneur gain by binding herself not to increase c as a changes? 1. Entrepreneurial Perks: A risk-averse entrepreneur is considering selling stock in her company to the public. She will continue to manage the firm after it "goes public". The entrepreneur gets utility from income, X with mean X and variance V(X), and from the consumption of on-the-job perks, C, according to the expected utility function u(X, c) = X-V(X) + 100. The uncertain profits of the firm are Y-c: each dollar spent on perks reduces profit by a dollar. The variance of Y, (and thus of Y - c) is 0 = 2500- (a) The entrepreneur is currently the sole owner of the firm, receiving as income the firm's profit. What level of perks will she choose? (b) Now, suppose the entrepreneur sells a fraction a>0 of the firm to risk-neutral investors, retaining (1-a) for herself. Thus, the entreprenuer receives as income whatever amount the investors pay for this fraction of the firm, say M(a), and then gets her share, (1 a)(Y - c), of the random profit. The variance of her income is thus (1 -a)2o. What is the relationship between a, the fraction of ownership the entrepreneur sells, and the level of perks c(a) she will subsequently choose? Does c(a) maximize total value (the expected utility of the entrepreneur plus that of the investor)? Explain. (c) Assume that competition among investors leads them to pay an amount for any given ownership share equal to the profits they expect to receive. How much will the enterpreneur receive from selling a fraction of the firm if investors cor- rectly anticipate the level of c(a) that the entrepreneur will choose after selling that fraction of the firm? What is the realized level of expected utility for the entrepreneur from selling a fraction of the firm if the investors have correct expectations? Show that the optimal level of a solves a = (1 - a) (so, ap- proximately a = 0.2755). Could the entrepreneur gain by binding herself not to increase c as a changes?
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Related Book For
Foundations of Financial Management
ISBN: 978-1259024979
10th Canadian edition
Authors: Stanley Block, Geoffrey Hirt, Bartley Danielsen, Doug Short, Michael Perretta
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