# Bayes, Markov, and Conditional Probability in Finance Models

*Disclaimer: Not certain this is appropriate to EP. This is in the way of an introduction to some aspects of modeling and might be a bit arcane. It was inspired by a comment by RebelCapitalist and deals with econometric modeling. Enjoy.*

Let's say we're interested in estimating the likelihood of some event x happening. x might be a loan default, upcoming regulations, getting hit by lightning, whatever. If we happen to know something about x, we can assign some probability P(x), play the numbers, and improve our chances of a good outcome. That's a big "if", and unless P = 1 we can still lose; still, that's the best we can do.

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