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b describe the set of possible outcomes of a specified discrete random variable; Flashcards Preview
L1 09 Common Probability Distributions
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L1 09 Common Probability Distributions
Class (20):
Common Probability Distributions
9 A Probability Dist. Cont V. Discreet Random Variable + Prob Functions
A Define A Probability Distribution And Distinguish Between Discrete And Continuous Random Variables And Their Probability Functions;
B Describe The Set Of Possible Outcomes Of A Specified Discrete Random Variable;
C Interpret A Cumulative Distribution Function;
D Calculate And Interpret Probabilities For A Random Variable, Given Its Cumulative Distribution Function;
E Define A Discrete Uniform Random Variable, A Bernoulli Random Variable, And A Binomial Random Variable;
F Calculate And Interpret Probabilities Given The Discrete Uniform And The Binomial Distribution Functions;
G Construct A Binomial Tree To Describe Stock Price Movement;
H Calculate And Interpret Tracking Error;
I Define The Continuous Uniform Distribution And Calculate And Interpret Probabilities, Given A Continuous Uniform Distribution;
J Explain The Key Properties Of The Normal Distribution;
K Distinguish Between A Univariate And A Multivariate Distribution, And Explain The Role Of Correlation In The Multivariate Normal Distribution;
L Determine The Probability That A Normally Distributed Random Variable Lies Inside A Given Interval;
M Define The Standard Normal Distribution, Explain How To Standardize A Random Variable, And Calculate And Interpret Probabilities Using The Standard Normal Distribution;
N Define Shortfall Risk, Calculate The Safety First Ratio, And Select An Optimal Portfolio Using Roy’s Safety First Criterion;
O Explain The Relationship Between Normal And Lognormal Distributions And Why The Lognormal Distribution Is Used To Model Asset Prices;
P Distinguish Between Discretely And Continuously Compounded Rates Of Return, And Calculate And Interpret A Continuously Compounded Rate Of Return, Given A Specific Holding Period Return;
Q Explain Monte Carlo Simulation And Describe Its Major Applications And Limitations;
R Compare Monte Carlo Simulation And Historical Simulation.