Answer: C. The beta coefficient of a stock is normally found by regressing past returns on a stock against past market returns. One could also construct a scatter diagram of returns on the stock versus those on the market, estimate the slope of the line of best fit, and use it as beta. However, this historical beta may differ from the beta that exists in the future.
Explanation:
The beta coefficient is used by an economic entity to measure how volatile an individual stock is when such stock is being compared to the market's systematic risk.
Of the options given in the question, the correct answer is option C which states that "C. The beta coefficient of a stock is normally found by regressing past returns on a stock against past market returns. One could also construct a scatter diagram of returns on the stock versus those on the market, estimate the slope of the line of best fit, and use it as beta. However, this historical beta may differ from the beta that exists in the future"
Answer:
1. Neither ; 2. Consumer Surplus ; 3. Producer Surplus
Explanation:
Consumer Surplus is the difference between a good's price paid by consumer, & maximum price the consumer is willing to pay for the good.
Producer Surplus is the difference between a good's price received by a seller, & minimum price at which the seller is willing to sell the good.
1. Willing to pay $209 for watch, buyer willing to sell at $196, no trade as price ceiling at $190 : It illustrates neither concept as transaction has not actually occurred, so no price established.
2. Willing to pay $39 for sweater, purchased it for $32 : It illustrates 'Consumer Surplus' case = $7 , as it shows difference between maximum willingness to pay by buyer ($39) & the actual buy price ($32)
3. Willing to sell laptop at $190, sold it at $199 : It illustrates 'Producer Surplus' case = $9 , as it shows difference between minimum willingness to sell price ($190) & actual sale price ($199)
Answer:
<u>Thus Calculation of September Cash Receipts is as follows:</u>
September Sales ( $170,000 × 30%) = $51,000
August Sales ( $150,000 × 55%) = $82,500
Total = $133,500
Explanation:
September cash receipts will include the following :
- 30% of September Sales
- 55% of August Sales
<u>Thus Calculation of September Cash Receipts is as follows:</u>
September Sales ( $170,000 × 30%) = $51,000
August Sales ( $150,000 × 55%) = $82,500
Total = $133,500
Answer:
When the price of good y increases by 10% it will result in the quantity demanded of x to increase by (0.6*10) =6%. The current quantity demanded of good x is 10 so a 6% increase will mean the quantity demanded of x will be (1.06*10)= 10.6
Explanation:
The cross elasticity of goods x and y is 0.6, which means that a one percent increase in price of good y will increase the demand for good x by 0.6%, this means that x and y are substitute goods, as when the price of y increases people tend to buy more of x.
When the price of good y increases by 10% it will result in the quantity demanded of x to increase by (0.6*10) =6%. The current quantity demanded of good x is 10 so a 6% increase will mean the quantity demanded of x will be (1.06*10)= 10.6
The proportion of the optimal risky portfolio that should be invested in stock A is 0%.
Using this formula
Stock A optimal risky portfolio=[(Wa-RFR )×SDB²]-[(Wb-RFR)×SDA×SDB×CC] ÷ [(Wa-RFR )×SDB²+(Wb-RFR)SDA²]- [(Wa-RFR +Wb-RFR )×SDA×SDB×CC]
Where:
Stock A Expected Return (Wa) =16%
Stock A Standard Deviation (SDA)= 18.0%
Stock B Expected Return (Wb)= 12%
Stock B Standard Deviation(SDB) = 3%
Correlation Coefficient for Stock A and B (CC) = 0.50
Risk Free rate of return(RFR) = 10%
Let plug in the formula
Stock A optimal risky portfolio=[(.16-.10)×.03²]-[(.12-.10)×.18×.03×0.50]÷ [(.16-.10 )×.03²+(.12-.10)×.18²]- [(.16-.10 +.12-.10 )×.18×.03×0.50]
Stock A optimal risky portfolio=(0.000054-0.000054)÷(0.000702-0.000216)
Stock A optimal risky portfolio=0÷0.000486×100%
Stock A optimal risky portfolio=0%
Inconclusion the proportion of the optimal risky portfolio that should be invested in stock A is 0%.
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