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For what form of expected utility function will the investment in a risky asset be independent of wealth?

Short Answer

Expert verified
Linear utility functions make investment decisions independent of wealth.

Step by step solution

01

Analyze the Relationship between Utility and Wealth

To determine when investment in a risky asset is independent of wealth, we need a utility function where the marginal utility of wealth remains constant regardless of the level of wealth. This implies that the utility function is linear.
02

Define the Linear Utility Function

In a linear utility function, the utility is directly proportional to wealth. We can express this mathematically as \( U(W) = aW + b \), where \( a \) and \( b \) are constants and \( W \) represents wealth. The slope \( a \) represents the marginal utility of wealth.
03

Explain Why Linear Utility Leads to Independence

If \( U(W) = aW + b \), then the marginal utility \( U'(W) = a \), which is constant. Because the decision to invest depends on the derivative of the utility function with respect to wealth, a constant derivative implies that the investor's relative preference for risk is not influenced by their current wealth level.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Risky Assets
Risky assets are financial instruments or investments that come with a certain level of uncertainty concerning their returns. Unlike risk-free assets, which have guaranteed returns, risky assets can fluctuate significantly. This is why they can offer both the potential for high returns and the risk of substantial losses.

Investors are drawn to risky assets due to the potential reward for taking on more uncertainty, a concept known as the risk-return tradeoff. Common examples include stocks, commodities, and real estate. These assets are appealing because if the market goes well, they can provide significant profits. However, if the market doesn't perform as expected, losses can also be substantial.

When dealing with risky assets, an investor must consider their risk tolerance, or their comfort level with the uncertainty of returns. Understanding how one’s wealth level impacts decision-making regarding investments in risky assets is essential in managing investment portfolios.
Linear Utility Function
A linear utility function is a type of utility equation where the utility received from wealth is a straight-line relationship. This means that each additional unit of wealth provides the same amount of added utility or satisfaction regardless of how much wealth the person already has.

Mathematically, we define a linear utility function as follows:
  • Let the utility function be expressed as \( U(W) = aW + b \) where \( a \) and \( b \) are constants.
  • Here, \( W \) indicates wealth, \( a \) represents the marginal utility, and \( b \) is a constant term that can shift the utility function up or down on the utility axis.
The central concept of a linear utility function in expected utility theory is that it implies constant marginal utility of wealth. This means no matter how rich or how poor you are, each dollar added to wealth provides the same increase in utility. This has major implications for decision making, particularly in contexts involving risky assets. With a linear utility function, the investment in a risky asset does not depend on the level of wealth.
Marginal Utility
Marginal utility refers to the additional satisfaction or benefit gained from consuming one more unit of a good or service. In the context of wealth, it's how much extra utility, or happiness, you receive when your wealth increases by one unit, say a dollar.

In economic decisions, the concept of marginal utility plays a crucial role. It impacts how resources are allocated and how decisions are made. When marginal utility is constant, as seen in linear utility functions, each additional dollar of wealth is valued the same irrespective of the total amount of wealth one has.

Understanding marginal utility helps in analyzing choices under uncertainty, particularly concerning investments. If we assume that the marginal utility of wealth doesn't change, then changes in wealth do not affect an investor's appetite for risky assets. This insight is essential in expected utility theory, as it explains why certain investors make specific investment choices regardless of their wealth levels.

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Most popular questions from this chapter

A coin has probability \(p\) of landing heads. You are offered a bet in which you will be paid \(\$ 2^{3}\) if the first head occurs on the \(j\) th flip. (a) What is the expected value of this bet when \(p=1 / 2 ?\) (b) Suppose that your expected utility function is \(u(x)=\ln x\). Express the utility of this game to you as a sum. (c) Evaluate the sum. (This requires knowledge of a few summation formulas. (d) Let \(w_{0}\) be the amount of money that would give you the same utility you would have if you played this game. Solve for \(w_{0}\)

Consider the case of a quadratic expected utility function. Show that at some level of wealth marginal utility is decreasing. More importantly, show that absolute risk aversion is increasing at any level of wealth.

A person has an expected utility function of the form \(u(w)=\sqrt{w}\) He initially has wealth of \(\$ 4 .\) He has a lottery ticket that will be worth \$12 with probability 1/2 and will be worth \(\$ 0\) with probability 1/2. What is his expected utility? What is the lowest price \(p\) at which he would part with the ticket?

Esperanza has been an expected utility maximizer ever since she was five years old. As a result of the strict education she received at an obscure British boarding school, her utility function \(u\) is strictly increasing and strictly concave. Now, at the age of thirty-something, Esperanza is evaluating an asset with stochastic outcome \(R\) which is normally distributed with mean \(\mu\) and variance \(\sigma^{2} .\) Thus, its density function is given by \\[ f(r)=\frac{1}{\sigma \sqrt{2 \pi}} \exp \left\\{-\frac{1}{2}\left(\frac{r-\mu}{\sigma}\right)^{2}\right\\} \\] (a) Show that Esperanza's expected utility from \(R\) is a function of \(\mu\) and \(\sigma^{2}\) alone. Thus, show that \(E[u(R)]=\phi\left(\mu, \sigma^{2}\right)\) (b) Show that \(\phi(\cdot)\) is increasing in \(\mu\) (c) Show that \(\phi(\cdot)\) is decreasing in \(\sigma^{2}\)

A consumer has an expected utility function given by \(u(w)=\ln w\) He is offered the opportunity to bet on the flip of a coin that has a probability \(\pi\) of coming up heads. If he bets \(\$ x\), he will have \(w+x\) if head comes up and \(w-x\) if tails comes up. Solve for the optimal \(x\) as a function of \(\pi\) What is his optimal choice of \(x\) when \(\pi=1 / 2 ?\)

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