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

Bivariate survival data, Bivariate survival data : The data in which the tw...

Bivariate survival data : The data in which the two related survival times are of interest. For instance, in familial studies of disease incidence, data might be available on the a

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.

Explain Generalized poisson distribution, Generalized poisson distribution:...

Generalized poisson distribution: The probability distribution can be defined as follows:   The distribution corresponds to the situation in which the values of the rand

Disease clusters, An unusual aggregation of the health events, real or perc...

An unusual aggregation of the health events, real or perceived. The events might be grouped in the particular region or in some short period of time, or they might happen among the

Explain missing values, Missing values : The observations missing from the ...

Missing values : The observations missing from the set of data for some of the reason. In longitudinal studies, for instance, they might occur because subjects drop out of the stud

Factorial moment generating function, The function of a variable t which, w...

The function of a variable t which, when extended formally as a power series in t, yields factorial moments as the coefficients of the respective powers. If the P(t) is probability

Orthogonal, Orthogonal is a term which occurs in several regions of the st...

Orthogonal is a term which occurs in several regions of the statistics with different meanings in each case. Most commonly the encountered in the relation to two variables or t

Ascertainment bias, Ascertainment bias : A feasible form of bias, particula...

Ascertainment bias : A feasible form of bias, particularly in the retrospective studies, which arises from the relationship between the exposure to the risk factor and the probabil

What is statistical inference, What is statistical inference?   Statis...

What is statistical inference?   Statistical inference can be defined as the  method of drawing conclusions from data which are subject to random variations. This is based o

Gaussian process, The generalization of the normal distribution used for th...

The generalization of the normal distribution used for the characterization of functions. It is known as a Gaussian process because it has Gaussian distributed finite dimensional m

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