Answer:
The company's average days to collect receivables is 18.25 days.
Explanation:
For computing the company's average days to collect receivables, first we have to calculate the account receivable turnover ratio. The formula is shown below
Account Receivable Turnover ratio = Net credit Sales ÷ Average accounts receivable
where,
Net credit sales is given
And, the average accounts receivable = (Year 1 + Year 2) ÷ 2
= ($15,000 + $12,000) ÷ 2
= $13,500
So, Account Receivable Turnover ratio = $270,000 ÷ $13,500 = 20
Now, average days to collect receivables = Number of days in a year ÷ Account Receivable Turnover ratio
= 365 ÷ 20
= 18.25 days
Hence, the company's average days to collect receivables is 18.25 days.
Answer:
<em>The solution is explained in the explanation section below</em>
Explanation:
Solution:
(a) <em>In the economy there exist 100 workers. the wage of reservation to take risky job for worker 1 is $1 and $2 for worker -2. only 10 jobs is seen as risky.</em>
<em>The curve of supply is shown as upward which starts from 1, because the price of reservation for the first worker is 1 and 2 is for the second worker and it keeps going on like that.</em>
<em>The demand curve is seen as elastic in a perfect form, due to the fact that there are only 10 risky jobs.</em>
<em>The 10th worker price is $10, because is wage differential is $10</em>
<em>(b) The worker's altitude towards taking risky jobs has changed, because of the advertisement. the wage reservation is -10$ for the first worker and -$9 for the second worker.</em>
<em>Th jobs seen as risky is available are only 10</em>
<em>However, as a result of the campaign advertisement, the curve of supply moves down and the market equilibrium gets is gotten when the wage differential is -$1. most people on the daily basis dislike risk, but the market determines those risky jobs that will pay less than the safe ones. </em>
Answer:
market premium = 0,0781 = 7.81%
Explanation:
We have to calculate the market return and then calcualte the premium as the difference between the expected return on the market and the risk-free rate:
We multiply each outcome by the stock weight. and then for the probability of occurence of that state of economy
Calculations for boom:
Change of boom x (weighted outcome A + weighted outcome B + weighted outcome C)
0.25 x (0.45 x 0.15 + 0.45 0.27 + 0.1 x 0.05) = 0.05
![\left[\begin{array}{cccccc}Stock&&B&A&C&Totals\\Weights&&0,45&0,45&0,1&&Boom&0,25&0,15&0,27&0,11&0,05&Normal&0,65&0,11&0,14&0,09&0,078975&bust&0,1&-0,04&-0,19&0,05&-0,00985&&&&&return&0,119125&\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bcccccc%7DStock%26%26B%26A%26C%26Totals%5C%5CWeights%26%260%2C45%260%2C45%260%2C1%26%26Boom%260%2C25%260%2C15%260%2C27%260%2C11%260%2C05%26Normal%260%2C65%260%2C11%260%2C14%260%2C09%260%2C078975%26bust%260%2C1%26-0%2C04%26-0%2C19%260%2C05%26-0%2C00985%26%26%26%26%26return%260%2C119125%26%5Cend%7Barray%7D%5Cright%5D)
market expected return 0,1191
Market premium: 0,1191 - 0,041 = 0,0781
The cost of making one cup of lemonade = 0.01 + 0.02 + 0.03 + 0.02 + 0.10 = 0.18
Wanda sells a cup of lemonade for 0.50, thus, she always make a gain of 0.32 on each cup of lemonade. That is, Profit = 0.50 - 0.18 = 0.32.
For 300 cups of lemonade, Wanda profit's will be 0.32 * 300 = 96
Therefore, Wanda's economic profit is $96.
