Answer:
Explanation:
From the information povided:
(a) To compute the amount of goodwill paid by Chicago Corporation
Particulars Amount ($)
Accounts Receivable 100000
Inventory 170000
Plant & Equipment 400000
Land 90000
Customer List 4000
Trade Names <u> 16000</u>
NET ASSETS (A) <u>780000</u>
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Current liabilities 76000
Non-current liabilities <u>160000 </u>
NET LIABILITIES (B) <u> 236000</u>
∴
PURCHASE CONSIDERATION (A -B) 544000
<u>Less:</u> Cash Paid <u> 580000</u>
GODWILL <u> 36000 </u>
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b)
In the books of Chicago Corporation, the Journal Entry to record the purchase of Naperville Company.
Account Name Dr. Cr.
Accounts Receivable A/C 100000
Inventory A/C 170000
Plant Equipment A/C 400000
Land A/C 90000
Customer List A/C 4000
Trade Names A/C 16000
Goodwill A/C 36000
Current liabilities A/C 76000
Non-Current Liabilities A/C 160000
Cash A/C 580000
c)
The minimum required amount of goodwill that Chicago can amortize by the end of 2020 is $3600.This is because the amortization can take place for a period of 10 years.
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Answer:
The correct answer is letter "C": a result of more efficient resource allocation than would be observed in the absence of trade.
Explanation:
Trade has allowed societies to exchange their products according to their needs. Thanks to trade those goods are distributed accordingly more <em>efficiently </em>since, in isolation, countries would be specialists of certain types of products only which is unlikely to be enough to cover all the individuals' needs in those societies.
Answer:
e, e ,i, i, i, e is the order from top to bottom
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
