Compute the portfolio expected return, Advanced Statistics

Assignment Help:

(a) You are trying to develop a strategy for investing in two different stocks, Stock A and Stock B. The anticipated annual return for a $1000 investment in each stock under four different conditions has the following probability distribution:

Returns

Probability Economic

        condition                     StockA            Stock B

0.1       Recession                -$50                 -$120

0.4      Slow growth               $20                   $0

0.4      Moderate growth       $80                  $140

0.1     Fast growth                $150                $250

Compute the portfolio expected return and portfolio risk if the percentage invested in Stock A is either 30%, 50% or 70%. On the basis of these results, which portfolio would you recommend? Briefly explain the reason for your answer.

b) In a triangle taste test conducted at a Woolworths supermarket, the taster is presented withthree samples, two of which are alike, and is asked to pick the odd one by tasting. If a tasterhas no well-developed sense of taste and picks the odd one by guessing,

(i) What is the probability that in six trials (ie. six taste tests) he or she will make at least one correct decision.

(ii) How many correct decisions would you expect in six trials (ie. six taste tests).

(c) A manufacturing plant's main production line breaks down an average of 2.4 times per day.

Assume breakdowns occur randomly.

(i) What is the probability of at least 3 breakdowns in a day.

(ii) How many breakdowns would you expect in seven days.


Related Discussions:- Compute the portfolio expected return

Lagrange multipliertest, The Null Hypothesis - H0:  There is autocorrelatio...

The Null Hypothesis - H0:  There is autocorrelation The Alternative Hypothesis - H1: There is no autocorrelation Rejection Criteria: Reject H0 (n-s)R 2 > = (1515 - 4) x (0.

Density estimation, Procedures for estimating the probability distributions...

Procedures for estimating the probability distributions without supposing any particular functional form. Constructing the histogram is perhaps the easiest example of such type of

Codominance, Codominance : The relationship between genotype at the locus a...

Codominance : The relationship between genotype at the locus and a phenotype to which it in?uences. If an individuals with heterozygote (such as, AB) genotype is phenotypically dif

Incubation period, Incubation period is the time elapsing amongs the receip...

Incubation period is the time elapsing amongs the receipt of infection and the appearance of the symptoms. The length of the incubation time period depends on the disease, ranging

Dummy variable, Discuss the use of dummy variables in both multiple linear ...

Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible

Mardia''s multivariate normality test, Mardia's multivariate normality test...

Mardia's multivariate normality test is a test that a set of the multivariate data arise from the multivariate normal distribution against departures due to the kurtosis. The test

Bootstrap, Bootstrap : The data-based simulation method/technique for the s...

Bootstrap : The data-based simulation method/technique for the statistical inference which can be used to study the variability of the estimated characteristics of the probability

Procrustes analysis, Procrustes analysis is a technique of comparing the a...

Procrustes analysis is a technique of comparing the alternative geometrical representations of a group of multivariate data or of the proximity matrix, for instance, two competing

Correspondence analysis, The method or technique for displaying the relatio...

The method or technique for displaying the relationships between categorical variables in a type of the scatter plot diagram. For two this type of variables displayed in the form o

Cumulative frequency distribution, The tabulation of a sample of observatio...

The tabulation of a sample of observations in terms of numbers falling below particular values. The empirical equivalent of the growing probability distribution. An example of such

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd