Learn how probability distributions help investors assess potential returns and manage risks on assets like stocks. Discover key types: discrete and continuous distributions.

This study extends the Poisson binomial distribution by introducing correlation and dependence between binomial events, enhancing its ability to capture complex event types and improving model ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).