Calculating probability of a time-series probability crossing a threshold

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(Please feel free to suggest a better title -- I'm still not sure what to call this in the first place.)

I'm having trouble getting my head wrapped around a time-series stochastics problem I've run into. I think the main issue I'm having is that I don't know what area of statistics I need to be digging into to solve it. I've tried my best to break it down into the basic statistics terminology that I do remember -- feel free to let me know if I need to add or correct anything:

I'm trying to solve for z:

  • x, y, and z are probabilities
  • S is a time-series variable following a stochastic process that is close to normal, but with skew and kurtosis
  • K is an upper limit for S that we pick at time 0; K > S at time 0
  • x is the probability that S will be above K at time t; we don't calculate x -- it's provided by a third party; they don't publish skew or kurtosis, we might be able to get a stdev estimate
  • x is recalculated and republished by the third party at each time tick
  • y is a lower limit for x that we pick at time 0; y < x at time 0
  • z is the probability of x crossing below y before time t

Given this information, can anyone see a way to calculate z?

It seems like, given that the inputs are already expressed in terms of probabilities, we should not need to know stdev, skew, or kurtosis... or am I completely confused?

Simplified Example:

Hydrologists estimate that there is an x=40% probability of a particular property being underwater exactly 10 years from now. An insurer writes a 10-year insurance contract for that property, specifying that no premium is due, and no coverage will start, unless and until the hydrologists' estimate first drops below y=30%.

What is the probability that coverage will start before the contract expires in 10 years?

I keep wanting to do simple things like z = 1 - (x - y), but that doesn't look right.

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Answering my own question, after thinking about it a while... I think the reason I'm having trouble figuring this out is that, in order to get z, I would need to know the stdev of x. Alternatively, I'd need the stdev of the stdev of S.

I'd welcome any disagreement with that conclusion. ;-)