Expected value

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Expected value

The weighted average of a probability distribution. Also known as the mean value.
Copyright © 2012, Campbell R. Harvey. All Rights Reserved.

Expected Return

The return on an investment as estimated by an asset pricing model. It is calculated by taking the average of the probability distribution of all possible returns. For example, a model might state that an investment has a 10% chance of a 100% return and a 90% chance of a 50% return. The expected return is calculated as:

Expected Return = 0.1(1) + 0.9(0.5) = 0.55 = 55%.

It is important to note that there is no guarantee that the expected rate of return and the actual return will be the same. See also: Abnormal return.
Farlex Financial Dictionary. © 2012 Farlex, Inc. All Rights Reserved
References in periodicals archive ?
8, we can see that the expectation value of first category nodes grows when the number of interactions increases, and the growth is rapid.
The expectation values of the time-dependent Hamiltonian over the time-dependent single particle wave functions represent an extension of the band structure to the time domain giving information on the time evolution of single particle energies and on their population and to physical quantities that require a summation over occupied states such as charge density.
This is because their vacuum expectation values are zero.
Prediction of Service Expectation Value. The service expectation value is the customer satisfaction degree of the service quality.
They state that the product of uncertainties of two (symmetric or normal) operators in a Hilbert space is bounded from below by the expectation values of their commutator (the "classical" UP) and their anticommutator.
And one gets for the expectation value and variance for Pot in this case
Using the mass expectation values in regions [A.sub.i] and [B.sub.i] calculated in Appendix A, [Delta]([|in>.sub.all],[|[Psi]>.sub.all]) can be calculated as follows:
This normalization factor is infinite (needs renormalization) but the value of L does not appear in the expectation values <F> = [([integral] P).sup.-1] [integral] PF.
The expectation values of the Casimir operators equations (2-7) in the ground state equation (14) is:
According to the operational laws of the interval number and the triangular fuzzy number, solve the expectation value of each state in Table 1 in order to transform the risk decision matrix into a certain decision matrix Z = [[[z.sub.ij]].sub.m x n], where
Systematic Error is the (mathematical) expectation value of the error.
The basic task was always the same: to obtain high numbers in repeated "throws of a 16-sided electronic die." One test run contained 32 such "die throws;" that is, for each run a sequence of 32 random numbers in the range from 0 to 15 was generated, and the score was defined as the sum of these numbers minus the chance expectation value of 260.

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