Poisson Processes for Quant Finance | Roman Paolucci
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Poisson Processes for Quant Finance | Roman Paolucci
🎣 Poisson Processes for Quant Finance 📈 Not everything in markets moves continuously. - Trades arrive. - Defaults happen. - Jumps occur. In this video, I break down Poisson distributions and Poisson processes, show how they’re actually used in quant finance, and explain where they break down in the real world. Here’s what I cover 👇 ...
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SOLVED:Use the Poisson distribution to find the indicated probabilities. The Poisson distribution can be used to approximate a binomial distribution if n ≥100 and n p ≤10 . Assume that we have a binomial distribution with n=100 and p=0.1 . It is impossible to get 101 successes in such a binomial distribution, but we can compute the probability that x=101 with the Poisson approximation. Find that value. How does the result agree with the impossibility of having x=101 with a binomial distribution?
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