The multivariate normal-ratio distribution is a statistical model that describes the ratio of two normal random variables. It has heavy tails and no finite moments. The shape of its density function can vary, showing different patterns like one peak or two peaks, and can be symmetrical or asymmetrical. In some cases, it can look like a normal distribution near its peak. Researchers have extended previous work on the bivariate normal distribution to create this new multivariate distribution.