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Mashcka [7]
3 years ago
13

The Universal Container's customer support organization has implemented knowledge centred support (KCS) in its call centre. Howe

ver, the call centre management thinks that agents are not contributing new knowledge articles as often as they should. What could the company do to address this situation?A. Require agents to check a box on the case when submitting a new suggested article
B. Create a dashboard for articles submitted by agents & approved for publication
C. Measure & reward agents based on the # of new articles submitted for approval
D. Measure & reward agents based on the # of new articles approved for publication
Business
1 answer:
olga2289 [7]3 years ago
7 0

Answer:

Measure and reward agents based on the no of new articles approved

Explanation:

A key way to improve knowledge sharing strategy is by rewarding valuable contribution.

Giving rewards for just any contribution might leads to a massive inflow of useless information purposely in order to claim rewards and at the end of the day , the data system is filled up with jargon and not knowledge.

Knowledge sharing credit should be attached only to information that adds value. Moreover as values can be relative  ,it should be stated that value will be decided by the users of the information , which means the higher the user , the higher the value .

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Answer: True.

Explanation:

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Answer:

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3 years ago
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A bank has written a call option on one stock and a put option on another stock. For the first option the stock price is 50, the
iris [78.8K]

Answer:

10-Day 99% VaR = 3.61

Explanation:

Data Given:

For First Option:

Stock Price = 50

Strike Price = 51

Volatility = 28% per annum

Time to maturity = 9 months

For Second Option:

Stock Price = 20

Strike Price = 19

Volatility = 25% per annum

Time to maturity = 12 months or 1 year

Risk Free Rate = 6% per annum

Correlation = 0.4

Find 10-day 99% VaR.

Solution:

First of all we need to refer the DerivaGem Model to dig out the change in price equation for both the options.

So, according to DerivaGem Model, We have following data:

For First Option:

Value  = -5.413

Delta Value = -0.589

For Second Option:

Value = -1.014

Delta = -0.284

Change in Price = (Delta value of First Option x Stock Price)Y1 + (Delta value of the second option x Stock Price)Y2

Change in Price = (-0.589 x 50)Y1 + (-0.284 x 20)Y2

So, We will get the Change in Price Linear Equation for both the options.

Change in Price = -29.45Y1 -5.68Y2

Now, we have to calculate the Daily Volatility Percentage.

Formula:

Daily Volatility Percentage = Volatility/ Square root of number of days active in annum

Number of Days Active = 252

Volatility for First Option = 28%

Volatility for Second Option = 25%

Daily Volatility Percentage for First Option = 28%/\sqrt{252}

Daily Volatility Percentage for First Option = 0.0176

Similarly,

Daily Volatility Percentage for Second Option = 25%/\sqrt{252}

Daily Volatility Percentage for Second Option = 0.0157

Now, utilizing the above calculated data, we can find the one-day variance of change in price.

1-Day Variance =(29.45^{2} *0.0176^{2}) + (5.68^{2} * 0.0157^{2}) - (2 * 29.45 * 0.0176 * 5.68 * 0.0157 * 0.4)

Solving the above equation:

We get:

1-Day Variance = 0.2396

Now, we have to find the standard deviation of 1-Day Variance:

SD of 1-Day Variance = \sqrt{0.2396}

SD of 1-Day Variance = 0.4895

So,

Now, in order to find the value of one day 99% VaR from the table, we have all the prerequisites.

So,

Value of One day 99% VaR from table = 2.33

But we need 10-Day 99% VaR.

So, number of days = 10

Hence,

10-Day 99% VaR = 0.4895 * 2.33 * \sqrt{10}

10-Day 99% VaR = 3.61

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VikaD [51]
It's impossible to choose a correct option as you've not attached any of it. Anyway I think that you mean the term which is called <span>APPROVED BUDGET.</span>
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