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Marginal conditional stochastic dominance and Portfolio (finance)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Marginal conditional stochastic dominance and Portfolio (finance)

Marginal conditional stochastic dominance vs. Portfolio (finance)

In finance, marginal conditional stochastic dominance is a condition under which a portfolio can be improved in the eyes of all risk-averse investors by incrementally moving funds out of one asset (or one sub-group of the portfolio's assets) and into another. In finance, a portfolio is a collection of investments held by an investment company, hedge fund, financial institution or individual.

Similarities between Marginal conditional stochastic dominance and Portfolio (finance)

Marginal conditional stochastic dominance and Portfolio (finance) have 2 things in common (in Unionpedia): Modern portfolio theory, Risk aversion.

Modern portfolio theory

Modern portfolio theory (MPT), or mean-variance analysis, is a mathematical framework for assembling a portfolio of assets such that the expected return is maximized for a given level of risk.

Marginal conditional stochastic dominance and Modern portfolio theory · Modern portfolio theory and Portfolio (finance) · See more »

Risk aversion

In economics and finance, risk aversion is the behavior of humans (especially consumers and investors), when exposed to uncertainty, in attempting to lower that uncertainty.

Marginal conditional stochastic dominance and Risk aversion · Portfolio (finance) and Risk aversion · See more »

The list above answers the following questions

Marginal conditional stochastic dominance and Portfolio (finance) Comparison

Marginal conditional stochastic dominance has 13 relations, while Portfolio (finance) has 26. As they have in common 2, the Jaccard index is 5.13% = 2 / (13 + 26).

References

This article shows the relationship between Marginal conditional stochastic dominance and Portfolio (finance). To access each article from which the information was extracted, please visit:

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