Answer:
the portfolio's return will be Ep(r)= 9.2 %
Explanation:
if the stock lies on the security market line , then the expected return will be
Ep(r) = rf + β*( E(M)- rf)
where
Ep(r) = expected return of the portfolio
rf= risk free return
E(M) = expected return of the market
β = portfolio's beta
then
Ep(r) = rf + β*( E(M)- rf)
E(M) = (Ep(r) - rf ) / β + rf
replacing values
E(M) = (Ep(r) - rf ) / β + rf
E(M) = ( 17.2% - 3.2%) /1.4 + 3.2% = 13.2%
since the stock and the risk free asset belongs to the security market line , a combination of both will also lie in this line, then the previous equation of expected return also applies.
Thus for a portfolio of β=0.6
Ep(r) = rf + β*( E(M)- rf) = 3.2% + 0.6*(13.2%-3.2%) = 9.2 %
Ep(r)= 9.2 %
Answer:
Expense & revenue summary a/c (credit balance) = $3500
Explanation:
1. Dr Expense & revenue summary 52500
Cr Sales discount 1500
Cr Sales return & allowance 3000
Cr Depreciation expense 25000
Cr Salaries expense 23000
(Close expenses to expense & revenue summary a/c)
2. Dr Sales 56000
Cr Expense & revenue summary 56000
(Close sales to expense & revenue summary a/c)
3. Dr Expense & revenue summary a/c 3500
Cr Retained earning a/c 3500
(To close expense & revenue summary a/c)
4. Dr Retained earning 2000
Cr Expense & revenue summary 2000
(Close dividend to expense & revenue summary a/c)d
This problem is solved by using the compound interest formula:
A=P(1+(I/period))^(number of periods)
Where A = amount accumulated and P = amount loaned and I = Interest
A = ? P = $2, 000, I = 0.115, Period = 2 (semi annually) Number of period = 2
*7 (I. e paid twice over a 7 yrs span)
So we have
A = 2000 ( 1 + 0.115/2)^(14)
A = 2000 ( 1 + 0.0575)^(14)
A = 2000 (1.0575)^(14)
A = 2000 (2.1873851765154) = 4374.77035
So we have 4374.80 to the nearest cent.
Managers are handling complexity when they are adaptable, imaginative, and prepared to learn from mistakes.
Describe complexity.
According to the scientific theory of complexity, certain systems exhibit behavioral traits that are utterly outside the scope of any traditional examination of the system's component pieces. These phenomena, also known as emergent behavior, appear to be present in a variety of complex living organism-based systems, such as the stock market and the human brain. For instance, according to complexity theorists, a stock market crash is an emergent result of the activities of several individual investors on a complex financial system, just as human awareness is an emergent characteristic of a complex network of neurons in the brain.
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