In this paper we propose a simple, intuitive approach to asset valuation in terms of marginal contributions to the characteristics (moments) of the market portfolio. Considering only the first two moments, mean and variance, the valuation equation is shown to correspond to Sharpe’s CAPM. A risk-neutral pricing formula is easily derived, showing the equivalence between CAPM and the Black and Scholes’ model. Extensions to higher moments like skewness and kurtosis are straightforward, providing a generalized valuation equation. Finally, the generalized equation is derived in a different, more rigorous way, as a result of a classical intertemporal general equilibrium model
This article outlines the relative orbit control (guidance algorithm and its preliminary performance...
We develop generalised indirect inference procedures that handle equality and inequality constraints...
We prove the existence, uniqueness, thermodynamic consistency, global boundedness from both above an...
Thesis (MEng)--Stellenbosch University, 2018.ENGLISH ABSTRACT: Please refer to full text for abstrac...
This working paper highlights the comments and recommandations emerging from a broad survey conducte...
We propose an extremely simple and explicit construction of cellular automata (CA) generating pseudo...
We propose an extremely simple and explicit construction of cellular automata (CA) generating pseudo...
In this paper, I first provide a unifying approach to Mean-Variance analysis and Value at Risk, whic...
Macroeconomic literature has traditionally regarded public expenditure as yielding no utility per se...
A formal proof has recently been given to show that an electro-optic response of chiral molecules in...
We consider a Poisson model, where the mean depends on certain covariates in a log-linear way with u...
We propose an extremely simple and explicit construction of cellular automata (CA) generating pseudo...
A mathematical-historical revisit of the controversy of GFA L'Hospital and J Bernoulli, and related ...
A new algorithm called Mersenne Twister (MT) is proposed for generating uniform pseudorandom numbers...
Potential benefits obtained through multi-species surveillance have been widely discussed. We examin...
This article outlines the relative orbit control (guidance algorithm and its preliminary performance...
We develop generalised indirect inference procedures that handle equality and inequality constraints...
We prove the existence, uniqueness, thermodynamic consistency, global boundedness from both above an...
Thesis (MEng)--Stellenbosch University, 2018.ENGLISH ABSTRACT: Please refer to full text for abstrac...
This working paper highlights the comments and recommandations emerging from a broad survey conducte...
We propose an extremely simple and explicit construction of cellular automata (CA) generating pseudo...
We propose an extremely simple and explicit construction of cellular automata (CA) generating pseudo...
In this paper, I first provide a unifying approach to Mean-Variance analysis and Value at Risk, whic...
Macroeconomic literature has traditionally regarded public expenditure as yielding no utility per se...
A formal proof has recently been given to show that an electro-optic response of chiral molecules in...
We consider a Poisson model, where the mean depends on certain covariates in a log-linear way with u...
We propose an extremely simple and explicit construction of cellular automata (CA) generating pseudo...
A mathematical-historical revisit of the controversy of GFA L'Hospital and J Bernoulli, and related ...
A new algorithm called Mersenne Twister (MT) is proposed for generating uniform pseudorandom numbers...
Potential benefits obtained through multi-species surveillance have been widely discussed. We examin...
This article outlines the relative orbit control (guidance algorithm and its preliminary performance...
We develop generalised indirect inference procedures that handle equality and inequality constraints...
We prove the existence, uniqueness, thermodynamic consistency, global boundedness from both above an...