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Wewaii [24]
3 years ago
14

Consider the following two, completely separate, economies. The expected return and volatility of all stocks in both economies i

s the same. In the first economy, all stocks move together - in good times all prices go up together and in bad times they all fall together. In the second economy, stock returns are independent - one stock increasing in price has no effect on the prices of other stocks. Assuming you are risk-averse and you could choose one of the two economies in which to invest, which one would you choose
Business
1 answer:
Nutka1998 [239]3 years ago
8 0

Answer:

As a risk averse investor I would choose the second option.

Explanation:

As a risk averse investor I would choose the second option. The second option described case whereby In an

economy whereby stocks returns are independent. And with this, risk can be diversified away as far as a large portfolio is concerned.

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Larkspur, Inc. had net sales in 2020 of $1,447,100. At December 31, 2020, before adjusting entries, the balances in selected acc
Zielflug [23.3K]

Answer:

The entry to record bad debt expense:

Debit Bad debts expense $24,446

Credit Allowance for Doubtful Accounts $24,446

Explanation:

1. At December 31, 2020,

Bad debt are estimated: 11% x $204,600 = $22,506

Before adjusting, Allowance for Doubtful Accounts had a debit balance of $1,940. So Bad debt expense will be: $1,940 + $22,506 = $24,446

The adjustment to record Bad debt expense and Allowance for Doubtful Accounts:

Debit Bad debts expense $24,446

Credit Allowance for Doubtful Accounts $24,446

6 0
3 years ago
All of the following are true about time series methods EXCEPT a. they discover a pattern in historical data and project it into
motikmotik

Answer:

B. they involve the use of expert judgement do develop forecasts

Explanation:

A time series is a series of events that is spaced equally in time. It is a statistical technique used to identify a time based trend of events and them make forecast using data from the trend/time series.

Time series requires certain processes which include discovering of a pattern in the historical data, projection of the historical data into the future, assumption that the pattern will remain the same(constant) as the time goes by, etc.

In time series method, since historical data is the point of reference for making a forecast, no expert judgements is required to develop forecasts. This is because once the data of the series from the past has been taken and a trend/pattern has been identified, that becomes the basis for future forecasts.

Cheers.

8 0
3 years ago
Who has access to the source code of proprietary software?
sveta [45]
<span>software publishers,software purchasers,the government  hope that helps</span><span>
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8 0
3 years ago
Read 2 more answers
Help pls need for a test!
Nookie1986 [14]

Answer:

TRUE

Explanation:

#carry on learning

6 0
3 years ago
What does the SSN on the student financial application form mean?
Murrr4er [49]

Answer:

Social Security Number

5 0
3 years ago
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