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  2. Exponential utility - Wikipedia

    en.wikipedia.org/wiki/Exponential_utility

    Exponential utility implies constant absolute risk aversion (CARA), with coefficient of absolute risk aversion equal to a constant: ″ ′ =. In the standard model of one risky asset and one risk-free asset, [1] [2] for example, this feature implies that the optimal holding of the risky asset is independent of the level of initial wealth; thus on the margin any additional wealth would be ...

  3. Roy's identity - Wikipedia

    en.wikipedia.org/wiki/Roy's_identity

    Roy's identity reformulates Shephard's lemma in order to get a Marshallian demand function for an individual and a good from some indirect utility function.. The first step is to consider the trivial identity obtained by substituting the expenditure function for wealth or income in the indirect utility function (,), at a utility of :

  4. Expected utility hypothesis - Wikipedia

    en.wikipedia.org/wiki/Expected_utility_hypothesis

    The summarised formula for expected utility is () = where is the probability that outcome indexed by with payoff is realized, and function u expresses the utility of each respective payoff. [1] Graphically the curvature of the u function captures the agent's risk attitude.

  5. Multi-attribute utility - Wikipedia

    en.wikipedia.org/wiki/Multi-attribute_utility

    A possible solution is to calculate n one-dimensional cardinal utility functions - one for each attribute. For example, suppose there are two attributes: apples and bananas (), both range between 0 and 99. Using VNM, we can calculate the following 1-dimensional utility functions:

  6. Utilitarian rule - Wikipedia

    en.wikipedia.org/wiki/Utilitarian_rule

    When the functions u i represent some abstract form of "happiness", the utilitarian rule becomes harder to interpret. For the above formula to make sense, it must be assumed that the utility functions () are both cardinal and interpersonally comparable at a cardinal level.

  7. Linear utility - Wikipedia

    en.wikipedia.org/wiki/Linear_utility

    E.g., the commodity is a heterogeneous resource, such as land. Then, the utility functions are not functions of a finite number of variables, but rather set functions defined on Borel subsets of the land. The natural generalization of a linear utility function to that model is an additive set function.

  8. Risk aversion - Wikipedia

    en.wikipedia.org/wiki/Risk_aversion

    The utility function u(c) is defined only up to positive affine transformation – in other words, a constant could be added to the value of u(c) for all c, and/or u(c) could be multiplied by a positive constant factor, without affecting the conclusions. An agent is risk-averse if and only if the utility function is concave.

  9. Utility representation theorem - Wikipedia

    en.wikipedia.org/wiki/Utility_representation_theorem

    A multi-utility representation (MUR) of a relation is a set U of utility functions, such that : (). In other words, A is preferred to B if and only if all utility functions in the set U unanimously hold this preference. The concept was introduced by Efe Ok.