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answer the binomial distribution problem (part c)
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- part 4 5 61) Value at Risk (VaR) a) The loss distribution of an investment is shown below. What is the 99% VaR. Amount of Loss Probability USD 10 Million USD 13 Million 75% 22% 3% US 17 million b) What are the limitations of the VaR methodology? c) A portfolio has a normal loss distribution with a mean of $-200 and a variance of $300. What is the expected short fall? Assume a 99% loss distribution. d) Describe the RiskMetrics model for VaR.Problem-A research study conducted in L A County at a local gym found that 30% of new members were overweight. An advertising campaign resulted in 500 new members signing contracts to become members for a period of 1 year. Is this problem a legitimate binomial distribution so that one can apply the Normal approximation to the binomial? What is the probability that 175 or more of the new members are overweight? What is the probability that 140 or less of the new members are overweight?
- how is this solved ?#17In a game, the gamer wins 20 dollars if he gets the number "6" facing up in rolling a fair die; he needs to pay c dollars otherwise. The gamer decided to continue playing the game until he wins three times. If the expected gain of the gamer is 0 dollars, what is the value of c? [This question seems to be a negative binomial distribution question]
- 6. For an insurance coverage, claim counts follow a binomial distribution with m = 4. q varies by insured with the following probabilities: 0.1 0.2 0.3 Probability 0.5 0.25 0.25 An insured submits 0 claims in the first year and 3 claims in the second year. Calculate the predictive probability of the same insured submitting 0 claims in the third year.Shack Homebuilders Limited is evaluating a new promotional campaign that could increase home sales. Possible outcomes and probabilities of the outcomes are shown next. Possible Outcomes Ineffective campaign Normal response Extremely effective Additional Sales in Units Coefficient of variation 50 70 130 Probabilities 0.10 0.20 0.70 Compute the coefficient of variation. Note: Do not round intermediate calculations. Round your answer to 3 decimal places.Select one method to filter conditional volatility. Present and interpret descriptive statistics of conditional volatility of (i) overnight returns, (ii) intraday returns, and (iii) total returns.
- Match n= 4, n = 8, n = 12 with the correct graph. Each histogram shown below represents part of a binomial distribution. Each distribution has the same probability of success p but different numbers of trials n. AP(x) 0.40- AP(x) 0.40- 0.30- 0.20- 0.10- 0.00 (a) 0.30- 0.20- 0.10- 0.00 0 369 12 0 369 12 (b) AP(x) 0.40- 0.30- 0.20- 0.10 Histogram (a) has the number of trials n = Histogram (b) has the number of trials n = Histogram (c) has the number of trials n = What happens as the value of n increases and the probability of success remains the same? OA. As n increases, the distribution becomes more skewed right. O B. As n increases, the distribution becomes more skewed left. OC. As n increases, the distribution becomes more symmetric. Click to select your answer.Typed please and asap please provide a quality solution for better ratingsExpected Value and Variance: A stock market analyst predicts the following returns for a particular stock: RETURN % PROBABILITY -10 0.2 0 0.5 10 0.3 Calculate the expected return and the variance of the returns.