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Verdich [7]
3 years ago
5

Preferred stock has a feature that allows it to share with common shareholders in any dividends paid in excess of the percent or

dollar amount stated on the preferred stock. This feature is called: multiple choice Participating Nonparticipating Sharing LeveragePreferred stock has a feature that allows it to share with common shareholders in any dividends paid in excess of the percent or dollar amount stated on the preferred stock. This feature is called: multiple choice Participating Nonparticipating Sharing Leverage
Business
1 answer:
____ [38]3 years ago
8 0

Answer:

Participating

Explanation:

Preferred stock has a feature that allows it to share with common shareholders in any dividends paid in excess of the percent or dollar amount stated on the preferred stock. This feature is called: PARTICIPATING PREFERRED STOCK

This is because Participatory preferred stock gives an extra profit assurance to stockholders. Typically, all preferred stocks have a fixed dividend rate, which is the main benefit.

However, in the event where the issuing company meets specific financial targets, holders of participating stocks will get more dividend payments above the normal fixed rate.

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Suppose a 95% confidence interval was made to estimate the monthly cost of internet service instead of a 90% confidence interval
Alex

The 95% confidence interval will be wider than the 90% confidence interval.

In statistics, the likelihood that a population parameter will fall between a set of values for a certain percentage of the time is referred to as a confidence interval. Analysts frequently employ confidence ranges that include 95% or 99% of anticipated observations. Therefore, it may be concluded that there is a 95% likelihood that the real value falls within that range if a point estimate of 10.00 with a 95% confidence interval of 9.50 - 10.50 is derived using a statistical model.

  • The level of certainty or uncertainty in a sampling process is measured by confidence intervals.
  • Additionally, they are employed in regression analysis and hypothesis testing.
  • To determine statistical significance, statisticians frequently combine confidence intervals with p-values.
  • 95% or 99% confidence levels are most frequently used in their construction.

Learn more about Confidence interval, here

brainly.com/question/13067956

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6 0
1 year ago
The standard cost of product 777 includes 2.0 units of direct materials at $6.00 per unit. During August, the company bought 29,
AfilCa [17]

Answer and Explanation:

The computation is shown below:

Total material variance = Actual quantity × Actual rate - Standard quantity × Standard rate

= 29000 × $6.3 - (16,000 units × 2) × $6

= $182,700 - $192,000

= - $9,300 favorable  

Material price variance = Actual quantity × Actual price - Actual quantity × Standard price

= (29,000 units × $6.3) - (29,000 units × $6)

= $182,700 - $174,000

= $8,700 unfavorable  

Material quantity variance =  Standard quantity × Actual quantity - Standard rate × Standard quantity  

= $6 × 29,000 units - $6 × (16,000 units × 2)

= $174,000 - $192,000

= -$18,000 favorable

The favorable is when the standard cost is more than the actual one while the unfavorable is when the standard cost is less than the actual one

8 0
3 years ago
An insurance company is likely to attract customers like Clancy who want to purchase insurance because he knows better that the
cluponka [151]

Answer: adverse selection

Explanation:

From the question, we are told that an

insurance company is likely to attract customers like Clancy who want to purchase insurance because he knows better that the company that he is more likely to make a claim on a policy.

The idea above is called adverse selection. This is a situation whereby either the seller or the buyer believes that he or she has more information than the other person regarding a particular product.

7 0
3 years ago
Scottsdale Manufacturing is organized into two divisions: Fabrication and Assembly. Components transferred between the two divis
Sindrei [870]

Answer:

1. The firm does not have excess capacity.

Minimum transfer price on full capacity = Variable Cost + Contribution to be Lost

Minimum transfer price on full capacity = $360 + ($600 - $360)

Minimum transfer price on full capacity = $360 + $240

Minimum transfer price on full capacity = $600

Transfer Price = $600 per Unit (Market price per unit).

2. The firm does have excess capacity. Minimum transfer price on excess capacity = $360 per Unit (Standard Variable Manufacturing cost per unit).

5 0
3 years ago
On January 1, 2018, VKI Corporation awarded restricted stock units (RSUs) representing 19 million of its $1 par common shares to
zysi [14]

Answer:

1. Total compensation cost= $96.9 m

2. Compensation expense  $32.3 m

                       paid-in capital - restricted stock   $32.3m

Explanation:

The question relates to 'EQUITY GRANT', which is some sort of compensation given to somebody, especially/specifically to employees of an entity provided that certain conditions/vesting requirements are satisfied by the employee. For example, an entity in it's initial phases of growth (because certain entities don't have the money/working capital in initial stages of business) offers it's employees to stay within the entity for at least three years during which no stipend will be paid but shall receive equity ownership thereafter. In such a situation the employer grants them equity once the vesting requirement is satisfied by the employees.

<em>So at the time of of awarding, no entry is passed with respect to RSUs but at each reporting date the entity records a certain amount in equity account. Total compensation cost is calculated as follows:</em>

Total compensation cost = 19 m×$5.10

TCC= $96.8M

The RSUs are split into three year period as follows:

Yearly equity recognition: $96.9m÷3= $32.3m

So at 31 December 2018 VKI Corporation would charge $32.3m to the equity account. The entry is as follows:

Compensation expense  $32.3 m

                       paid-in capital - restricted stock   $32.3m

8 0
3 years ago
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