'1-day VaR at 1% probability = $5 million' is equivalent to any of the following statements with the EXCEPTION of which statement? | |||||||||||||
A. Our portfolio will have a one-day loss that exceeds $5 million in 1% of the trading days | |||||||||||||
B. There is a 1% chance that our portfolio will lose less than $5 million in one trading day | |||||||||||||
C. Our portfolio will have a one-day loss of less than $5 million in 99% of the trading days | |||||||||||||
D. Our portfolio will lose more than $5 million in 1 out of every 100 trading days | |||||||||||||
E. There is a 99% chance that our portfolio will lose less than $5 million in one trading day | |||||||||||||
Option B
There is a 1% chance that our portfolio will lose less than $5 million in one trading day
'1-day VaR at 1% probability = $5 million' is equivalent to any of the following statements...
VaR Example 1 Suppose that an investor's portfolio consists entirely of $10,000 worth of IBM stock. Assume that the standard deviation of the stock's returns are 0.0189 (1.89%) per day The investor wants to know his portfolio's VaR over the coming trading day at the 95% confidence level VaR Example 2 Assume that a $100,000 portfolio contains $60,000 worth of Stock A and $40,000 worth of Stock B Given the following data, compute the VaR of this portfolio with a...
Calculate the 1 day VAR at 95% confidence level [1.645 standard deviation] for a portfolio consisting only of Argosy Plc stock with a total market value of USD25 Million. Assume an annual volatility of around 35% p.a. and that there are 252 trading days in a year.
1 day VaR of a portfolio is $500,000 with 95% confidence level. In a period of six months (125 working days) how many times the loss on the portfolio may exceed $500,000? A. 4 days B. 5 days C. 6 days D. 7 days E. none of the above
Let us consider a $5 million position in silver. In addition, let us consider that the returns of gold are normally (Gaussian) distributed. The standard deviation of silver returns on a daily basis is 0.45%. (a) How much can this position potentially lose in one day with 99 percent confidence interval? (b)How much this position could lose in one month with 99 percent confidence interval if one holds this position. (There are 20 trading days in a month)
2. (30pts) Consider a portfolio which consists of single asset. The return of the asset is normally distributed with annual mean return 5% annual standard deviation 5%. The value of portfolio today is S80 million. Suppose the time horizon is one year, a) Determine the mean and standard deviation of the portfolio at the end of the year. b) What is the probability that the end of year loss is more than $10 million? b) What is the probability that...
1. Calculate the money market yield and bond equivalent yield of a $100,000 30-day US Treasury bill that is trading at a discount of 5%. A. The money market yield is 5% and the bond equivalent yield is lower than the money market yield. B. The money market yield is 5.02% and the bond equivalent yield is higher than the money market yield. C. The money market yield is 5.09% and the bond equivalent yield is lower than the money...
(a) If your life plan is to buy one lottery ticket every day for 5 days a week, 50 weeks a year for the next 50 years, where on any lottery ticket you have a one in 500,000,000 chance of winning the jackpot, what is the probability you will win the jackpot at least once in your lifetime? Hint: Let Wi be the event you win the jackpot with the ith lottery ticket. Assume these are independent. (b) (continued) Buying...
1 points se QUESTION 1 Tina Ming is a senior portfolio manager at Flusk Pension Fund (Flusk). Flusk's portfolios composed of fixed-income Instruments structured to match Flusk's liabilities. Mingworks with Shrikant McKee, Flusk's risk analyst.Ming and McKee discuss the latest risk report. McKee calculated value at risk (VaR for the entire portfolio using the historical method and assuming a lookback period offive years and 250 trading days per year. McKee presents VaR measures in Exhibit 1. Exhibit 1: Flusk Portfolio...
23) Which of the following statements is not true about historical simulation approach using weighing of observations? Recent observations are given more weight than more distant observations in the past In order to find VaR at a given confidence level, weights are summed up starting from the worst outcome until the required percentile of the distribution is reached It incorporates volatility updating procedures such as EWMA The method reflects better current volatilities and macroeconomic conditions as compared to the basic...
7 Which of the following statements are true about probability (more than one may be correct)? (5 pts) 2 a Can be determined both objectively or subjectively b. The law of large numbers only applies to objective probabilities c Al events in a statistical experiment must have a probability of occurrence d Every event in a statistical experiment has the same chance of occurring e Subjective probabilities follow the usual axioms of probability