What Are the Probabilities for NYSE Trading Volumes?

  • Context: Undergrad 
  • Thread starter Thread starter Shekster
  • Start date Start date
  • Tags Tags
    Probability
Click For Summary
SUMMARY

The discussion focuses on calculating probabilities related to NYSE trading volumes, which are assumed to follow a normal distribution. Key questions include determining the probability of trading volumes being less than 800 million shares and exceeding 1 billion shares. Additionally, the discussion addresses identifying the trading volume threshold that would trigger a press release for the top 5% of trading days. The central limit theorem and sampling distribution concepts are essential for understanding these calculations.

PREREQUISITES
  • Understanding of normal distribution in statistics
  • Familiarity with the central limit theorem
  • Knowledge of probability calculations
  • Ability to interpret statistical data
NEXT STEPS
  • Learn how to calculate probabilities using the normal distribution
  • Study the central limit theorem in detail
  • Explore statistical software tools like R or Python for probability analysis
  • Investigate methods for determining percentiles in a data set
USEFUL FOR

Statisticians, financial analysts, traders, and anyone interested in understanding trading volume probabilities on the NYSE.

Shekster
Messages
1
Reaction score
0
Easy probability question help??

917 983 1046 944 723 783 813 1057 766 836 992 973

Above are the trading volumes (millions of shares) for stocks traded on the NYSE during a certain period.
Assume that the probability distribution of the trading volumes is approximately normal.

2.2 What is the probability that on a particular day the trading volume will be less than 800 million shares?

2.3 What is the probability that on a particular day the trading volume will exceed 1 billion shares?

2.4 If the exchange wants to issue a press release on the top 5% of trading days, what volume will trigger a press release??

This is not homework i am trying to explain this to my brother and don't know how too, answers with working out would be required.
 
Physics news on Phys.org


With the context you gave, this just seems like an issue with the sampling distribution

of the mean, which follows from the central limit theorem. Look up those terms and let

us know of any followup question. The sampling distribution is just that; a distribution

which allows us to determine the probabilities of events.
 

Similar threads

  • · Replies 0 ·
Replies
0
Views
3K