Share price probability homework

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SUMMARY

The discussion focuses on calculating the probability of a stock price increasing by more than 10 after 700 time periods, given specific probabilities for price movements: down 1 with a probability of 0.39, unchanged with a probability of 0.20, and up 1 with a probability of 0.41. The user correctly identifies that the final stock price can be expressed as s(700) = s(0) + ∑X_i, where X_i represents the price changes. To find the probability Pr{s(700) - s(0) > 10}, the user is advised to explore the trinomial distribution for a more accurate calculation.

PREREQUISITES
  • Understanding of probability theory, specifically trinomial distributions
  • Familiarity with random variables and their summation
  • Basic knowledge of stock price movements and their modeling
  • Ability to interpret mathematical notation and probability expressions
NEXT STEPS
  • Study the trinomial distribution and its applications in stock price modeling
  • Learn about the Central Limit Theorem and its relevance to large sample probabilities
  • Explore simulation techniques for approximating probabilities in financial contexts
  • Review statistical software tools like R or Python for implementing probability calculations
USEFUL FOR

Students in finance or mathematics, quantitative analysts, and anyone interested in stock price probability modeling will benefit from this discussion.

motherh
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Hi, I'm trying to answer the following question:

In each time period, a certain stock either goes down 1
with probability 0.39, remains the same with probability 0.20, or goes up
1 with probability 0.41. Assuming that the changes in successive time periods
are independent, approximate the probability that, after 700 time
periods, the stock will be up more than 10 from where it started.

I managed to answer a similar question where either the price goes up or it goes down but you are multiplying by a percentage rather than adding/subtracting. Any idea on how I could adapt my solution to this question?

If s(t) is the share price at time t and

X[itex]_{i}[/itex] = -1 (if share goes down), 0 (share stays same), 1 (if share goes up)

then would I be right in saying

s(700) = s(0) + [itex]\sum{X_{i}}[/itex] (sum from 1 to 700) ?

Would I then be looking for the probability

Pr{s(700)-s(0) = [itex]\sum{X_{i}}[/itex] > 10}?
 
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