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inn [45]
3 years ago
5

On January 1 st, you make plans to travel to Switzerland the following summer. The direct quote for Swiss francs is $0.30.Since

it will be a short trip, you believe $3000 in spending money will be sufficient. On June 1 st, the direct quote for Swiss francs is $0.40.As a result, How much Swiss francs will buy your $3000.
Business
2 answers:
Nookie1986 [14]3 years ago
7 0

Answer:

7500 Swiss francs

Explanation:

Working

January 1, Swiss francs = $0.3

$3000 will by 3000/0.3 = 10,000 Swiss francs.

June 1 , Swiss Francs = $ 0.4

$3000 will buy 7500 Swiss francs.

This also mean that in January 3.33 Swiss francs will buy 1 $

In June 1 , 2.5 Swiss francs will buy one dollar.

This shows that Swiss francs has appreciated in value against dollar over the months

konstantin123 [22]3 years ago
6 0

Answer:

On January 1st, the $3,000 could buy 10,000 Swiss francs (3,000/0.3).

On June 1st, the $3,000 would buy 7,500 Swiss francs (3,000/0.4).

Explanation:

On January 1st, each Swiss francs could only purchase $0.30 while on June 1st, each Swiss francs could purchase $0.40.

These show that the Swiss francs had appreciated in value relative to the US Dollars with a positive change of 33%.  Therefore, the dollar had weakened against the Swiss francs by the same rate.

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Thank you for posting your question here at brainly. I hope the answer will help you. Feel free to ask more questions.


The strength of bargaining power forces depends on the availability of substitutes and <span>the relative size of the firm </span>compared to the size of suppliers or customers.
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increase the price of our products or services.

Explanation:

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3 years ago
The stock of Business Adventures sells for $50 a share. Its likely dividend payout and end-of-year price depend on the state of
Delvig [45]

Answer:

Holding period return = 14.49%, Standard Deviation = 11.08 approx

Explanation:

Eco Scenario    Dividend     Stock Price  HPR    Prob     Expected HPR

Boom                         3                 60         26        0.33        8.58

Normal                       1.2               58        18.4       0.33       6.072

Recession                  0.75            49        (0.5)      0.33      <u> (0.165)</u>

              Expected HPR                                                       14.49%

<u>Calculation Of Standard Deviation</u>

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P_{1}          P_{0}       D_{1}       Given return   Exp return       d          p           p.d^{2}

60        50      3            26                     14.49         11.51       0.33      43.718    

58        50      1.2          18.4                   14.49         3.91       0.33      5.045

49        50      0.75      (0.5)                    14.49        14.99     0.33      <u> 74.15</u>

                                                                                         Total p.d^{2} =  122.91

wherein, d = deviation

               p = probability

               Standard Deviation = \sqrt{Total\ p.d^{2} }  = \sqrt{122.91} = 11.08  

<u></u>

<u>Working Note</u>:

Holding period return = \frac{P_{1}\ -\ P_{0} \ +\ D_{1}  }{P_{0} }

Boom = \frac{60\ -\ 50 \ +\ 3  }{50 }   = 26%

Similarly, for normal = \frac{58\ -\ 50 \ +\ 1.2  }{50 }  = 18.4%

Recession = \frac{49\ -\ 50 \ +\ 0.75  }{50}  = (0.5)%

figure in bracket indicates negative return

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