We show a canonical expression of a univariate risky asset. We find out a canonical expression of the product of two univariate risky assets when they are jointly considered. We find out a canonical expression of a portfolio of two univariate risky assets when it is viewed as a stand-alone entity. We prove that a univariate risky asset is an isometry. We define different distributions of probability on R inside of metric spaces having different dimensions. We use the geometric property of collinearity in order to obtain this thing. We obtain the expected return on a portfolio of two univariate risky assets when it is viewed as a stand-alone entity. We also obtain its variance. If a portfolio of two univariate risky assets is viewed as a stand-alone entity then it is an antisymmetric tensor of order 2. We show that it is possible to use two different quadratic metrics in order to analyze a portfolio of two univariate risky assets. What we say can be extended to a portfolio of more than two univariate risky assets.
A mathematical approach to two indices concerning a portfolio of two univariate risky assets / Angelini, Pierpaolo. - In: APPLIED MATHEMATICAL SCIENCES. - ISSN 1314-7552. - (2020).
A mathematical approach to two indices concerning a portfolio of two univariate risky assets
pierpaolo angelini
2020
Abstract
We show a canonical expression of a univariate risky asset. We find out a canonical expression of the product of two univariate risky assets when they are jointly considered. We find out a canonical expression of a portfolio of two univariate risky assets when it is viewed as a stand-alone entity. We prove that a univariate risky asset is an isometry. We define different distributions of probability on R inside of metric spaces having different dimensions. We use the geometric property of collinearity in order to obtain this thing. We obtain the expected return on a portfolio of two univariate risky assets when it is viewed as a stand-alone entity. We also obtain its variance. If a portfolio of two univariate risky assets is viewed as a stand-alone entity then it is an antisymmetric tensor of order 2. We show that it is possible to use two different quadratic metrics in order to analyze a portfolio of two univariate risky assets. What we say can be extended to a portfolio of more than two univariate risky assets.File | Dimensione | Formato | |
---|---|---|---|
Angelini_mathematical_2020.pdf
accesso aperto
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Creative commons
Dimensione
157.35 kB
Formato
Adobe PDF
|
157.35 kB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.