From middle school to high school( since elementary schoolers don't exist here) for money obviously
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I can solve your hw
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Or you could just study. Because you paid for it? Like just Gemini it
Brother i earn free money by milking my. Friends for it. Tuition 100rs per hour and they take like. 4 hours. 400rs easy profits
That's crazy to ask your friends for money ngl like i would ask a classmate but not friends but maybe these aren't your close buddy buddy friends
An investor is considering to create a portfolio
Stock Expected return Standard deviation Weight in portfolio
Stock A 20% 30% 0.6
Stock B 12% 20% 0.4
The covariance between two stock is -0.1
(a) Calculate the expected portfolio return (4 marks)
(b) Calculate the portfolio standard deviation (5 marks)
Explain the following concepts in portfolio theory
(c) correlation (3 marks)
(d) beta (4 marks)
(e) standard deviation (4 marks)
Standard deviation is a measure of how much the portfolio value is expected to vary
Am I correct twin
I know it since I did some stats and I guessed the interpretation in context of portfolio.
Correlation will be the trend of the value of the portfolio, if the value increases as time increases, then the correlation is positive and at its strongest, a 1, if the portfolio value decreases over time, the correlation is negative and the value at its strongest is -1
It's just some stats stuff i Iearnt, like SRCC, Variance, Std. Deviation, Binomial and Normal Distributions
No ur not
It's just that I'm doing more advanced maths earlier than most people
Everyone is at their own pace in learning and that's okay 😊
) Expected Portfolio Return (4 marks)
E(Rp)=wAE(RA)+wBE(RB)
=0.6(20%)+0.4(12%)
=0.6(20%)+0.4(12%)
=12%+4.8%=16.8%
=12%+4.8%=
16.8%
(b) Portfolio Standard Deviation (5 marks)
Important assumption:
In portfolio theory questions, the value –0.1 is typically the correlation, not covariance.
Hence,
CovAB=ρABσAσB=(−0.1)(0.30)(0.20)=−0.006
=(−0.1)(0.30)(0.20)=−0.006
Portfolio variance formula:
σp2=wA2σA2+wB2σB2+2wAwBCovAB
=(0.6)2(0.30)2+(0.4)2(0.20)2+2(0.6)(0.4)(−0.006)
=0.0324+0.0064−0.00288
=0.0324+0.0064−0.00288
=0.03592
=0.03592
Portfolio standard deviation:
σp=0.03592≈18.95%
=
0.03592
≈
18.95%
(c) Correlation (3 marks)
Correlation measures the degree and direction of the relationship between returns of two securities.
It ranges from –1 to +1.
A negative correlation implies that when one stock’s return increases, the other tends to decrease, providing diversification benefits.
(d) Beta (4 marks)
Beta measures a stock’s systematic risk relative to the market.
It indicates how sensitive a stock’s return is to movements in the overall market.
A beta greater than 1 implies higher volatility than the market, while a beta less than 1 implies lower volatility.
(e) Standard Deviation (4 marks)
Standard deviation measures the total risk of a security or portfolio by capturing the variability of returns around the mean.
A higher standard deviation indicates greater uncertainty and risk, while a lower standard deviation indicates more stable returns.
Now send me that $1000
can you do a research paper for me?
30 sources --> 6 primary 22 secondary 2 tertiary
3000 word essay
you pick the history topic
I want it by Tomorrow ty
The tensile strength of a paper product is related to the amount of hardwood in the pulp. Ten samples
are produced in the pilot plant, and the data obtained are shown in Table 2.
Table 2. The tensile strength and the amount of hardwood in the pulp of ten samples.
_____
Strength | Percent Hardwood
-----------------------------------------------
160 10
171 15
175 15
182 20
184 20
181 20
188 25
193 25
195 28
200 30
For this problem, do the following:
a. Fit a linear regression model relating strength to percent hardwood. What is the estimated
regression model? Interpret the regression model (slope and intercept). (5 pts)
b. What is the computed Pearson’s r? Indicate the strength (e.g. very strong, strong) and
direction (positive or negative) of the correlation. (2pts)
c. Determine the coefficient of determination and interpret the results. (3pts)
d. Perform a hypothesis test to check if a linear relationship does exist. Provide a summary of
the test including the hypotheses, decision rule, computations, decision, and conclusion. Show
your solution if the computation was done manually. Otherwise, attach screenshot of results
from the statistical software used. (5pts)
e. Provide a summary of the assumptions tests with complete evidences/justifications. Attach
screenshot of results from the statistical software used. Are the conclusions derived from the
parametric regression analysis valid? (10pts)
The equation of line of regression is gonna be like y = 2.6x +147
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