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Incomplete markets

Incomplete markets is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Incomplete markets rather than just read about it. In short: In economics, incomplete markets are markets in which there does not exist an Arrow–Debreu security for every possible state of nature. In contrast with complete markets, this shortage of securities will likely restrict individuals from transferring the desired level of wealth among states.

Key takeaways

  • Incomplete markets belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Incomplete markets to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Incomplete markets from memory before moving on to harder problems.

Reference excerpt

In economics, incomplete markets are markets in which there does not exist an Arrow–Debreu security for every possible state of nature. In contrast with complete markets, this shortage of securities will likely restrict individuals from transferring the desired level of wealth among states. An Arrow security purchased or sold at date t is a contract promising to deliver one unit of income in one of the possible contingencies which can occur at date t + 1. If at each date-event there exists a complete set of such contracts, one for each contingency that can occur at the following date, individuals will trade these contracts in order to insure against future risks, targeting a desirable and budget feasible level of consumption in each state (i.e. consumption smoothing). In most set ups when these contracts are not available, optimal risk sharing between agents will not be possible. For this scenario, agents (homeowners, workers, firms, investors, etc.) will lack the instruments to insure against future risks such as employment status, health, labor income, prices, among others.

Markets, securities and market incompleteness In a competitive market, each agent makes intertemporal choices in a stochastic environment. Their attitudes toward risk, the production possibility set, and the set of available trades determine the equilibrium quantities and prices of assets that are traded. In an "idealized" representation agents are assumed to have costless contractual enforcement and perfect knowledge of future states and their likelihood. With a complete set of state contingent claims (also known as Arrow–Debreu securities) agents can trade these securities to hedge against undesirable or bad outcomes. When a market is incomplete, it typically fails to make the optimal allocation of assets. That is, the First Welfare Theorem no longer holds. The competitive equilibrium in an economy with incomplete markets is generically constrained suboptimal. The notion of constrained suboptimality was formalized by Geanakoplos and Polemarchakis (1986).

Possible reasons for market incompleteness Despite the latest ongoing innovation in financial and insurance markets, markets remain incomplete. While several contingent claims are traded routinely against many states such as insurance policies, futures, financial options, among others, the set of outcomes is far greater than the set of claims. In practice the idea of a state contingent security for every possible realization of nature seems unrealistic. For example, if the economy lacks the institutions to guarantee that the contracts are enforced, it is unlikely that agents will either sell or buy these securities. Another common way to motivate the absence of state contingent securities is asymmetric information between agents. For example, the realization of labor income for a given individual is private information and it cannot be known without cost by anyone else. If an insurance company cannot verify the individual's labor income, the former would always have the incentive to claim a low realization of income and the market would collapse.

Failure of the standard complete markets model Many authors have argued that modeling incomplete markets and other sorts of financial frictions is crucial to explain the counterfactual predictions of the standard complete markets models. The most notable example is the equity premium puzzle Mehra and Prescott (1985), where the complete markets model failed to explain the historical high equity premium and low risk-free rate. Along with the equity premium puzzle, other counterfactual implications of the complete markets model are related to the empirical observations concerning individuals’ consumption, wealth, and market transactions. For example, in a complete market framework, given that agents can fully insure against idiosyncratic risks, each individual's consumption must fluctuate as much as anyone else's, and the relative position in terms wealth distribution of an individual should not vary much over time. The empirical evidence suggests otherwise. Further, consumption is not highly correlated across agents, and wealth holdings are volatile.

Modeling market incompleteness In the economic and financial literature, a significant effort has been made in recent years to part from the setting of complete markets. Market incompleteness is modeled as an exogenous institutional structure or as an endogenous process. In the first approach, the economic models take as given the institutions and arrangements observed in actual economies. This approach has two advantages. First the structure of the model is similar to that of the Arrow–Debreu model to make it amenable to the powerful techniques of analysis developed for that framework. Second it is easy to compare model allocations with their empirical counterpart. Among the first papers using this approach, Diamond (1967) focused directly on the “realistic” market structure consisting of the stock and bond markets. The other set of models explicitly account for the frictions that could prevent full insurance, but derive the optimal risk-sharing endogenously. This literature has focused on information frictions. Risk sharing in private information models with asset accumulation and enforcement frictions. The advantage of this approach is that market incompleteness and the available state contingent claims respond to the economic environment, which makes the model appealing for policy experiments since it is less vulnerable to the Lucas critique.

Example of complete vs. incomplete markets Suppose there is an economy with two agents (Robinson and Jane) with identical log utility functions. There are two equally likely states of nature. If state 1 is realized, Robinson is endowed with 1 unit of wealth and Jane with 0. In state 2, Robinson gets 0 while Jane receives 1 unit of wealth. With Complete Markets there are two state contingent claims:

q 1 {\displaystyle q_{1}} pays 1 unit in state 1 and 0 otherwise.

q 2 {\displaystyle q_{2}} pays 1 unit in state 2 and 0 in state 1. Before the realization of the uncertainty, the two agents can trade the state contingent securities. In equilibrium, the two Arrow-Debreu securities have the same price and the allocation is as follows:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Incomplete markets

Start with the simplest possible case. Write down what Incomplete markets claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Incomplete markets before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Incomplete markets ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Incomplete markets

In research
Incomplete markets appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Incomplete markets in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Incomplete markets is common in secondary-school and first-year university syllabi. It links to neighbouring topics Mathematical finance, so understanding it makes those chapters shorter.
In everyday life
Look for Incomplete markets outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Incomplete markets in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Incomplete markets means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Incomplete markets out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Incomplete markets in simple terms?

In economics, incomplete markets are markets in which there does not exist an Arrow–Debreu security for every possible state of nature. In contrast with complete markets, this shortage of securities will likely restrict individuals from transferring the desired level of wealth among states.

Why does Incomplete markets matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Incomplete markets?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Incomplete markets.

Tags

  • Mathematical finance

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