A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

This is a preview. Log in through your library . Abstract The notion of probability density for a random function is not as straight-forward as in finite-dimensional cases. While a probability density ...

In some situations only the statistical properties of such objects are desired: the three-dimensional probability density function. This article demonstrates that under special symmetries this ...

Building on the widely-used double-lognormal approach by Bahra (1997), this paper presents a multi-lognormal approach with restrictions to extract risk-neutral probability density functions (RNPs) for ...

By using one of the common stock probability distribution methods of statistical calculations, an investor may determine the likelihood of profits from a holding.