Answer: $2,000
Explanation:
The Futures were sold at $1.50/GBP yet the settlement is $1.30/GBP. That means the premium is;
= 1.50 - 1.30
= $0.2/GBP
Payoff would be;
= 10,000 * 0.2
= $2,000
He has to pay $175.
500-475 = $25 --> remaining available credit
200-25 = $175 --> what he needs to pay to have enough credit to charge the $200 ticket without going beyond the limit.
The cash<span> method accounts for revenue only when the money is received and for expenses only when the money is paid out. On the other hand, the </span>accrual<span> method accounts for revenue when it is earned and expenses goods and services when they are incurred. ... </span>Accrual<span> accounting is the most common method used by businesses.</span>
Answer:
Variable ratio schedule; effective
Explanation:
Reinforcement schedules are designed to introduce or remove reinforcers of punishment after observation of operational behaviour of a given set of people.
There are 3 types: ratio schedule, interval schedule, and extinction schedule.
The most effective type of reinforcement schedule is the variable ratio schedule.
It involves introduction of reinforcers after a particular number of observed responses from the subjects, also for subjects that are exhibiting favourable behaviour reinforcers are removed.
This is more efficient because more focus is given to those people that are lagging behind.
For interval schedule there continues to be a schedule despite variability in behaviour across employees. This is inefficient and stressful.
Variable ratio schedule is exemplified in this instance where visits are variable, and employee performing a desirable behaviour are quick to be praised.
Answer:
Scenario R(%) P ER R - ER (R - ER)2 (R - ER)2.P
Optimistic 16 0.15 24.0 -17.2 295.84 44.376
Most-likely 12 0.60 7.2 -21,2 449.44 269.664
Pessimistic 8 0.25 2.0 -25.2 635.04 158.760
ER 33.2 Variance 472.80
Standard deviation of the return
= √472.80
= 21.74%
Explanation:
The expected return is the product of return and probability. The total expected return is the aggregate of individual expected return. R - ER is the difference between individual return and total expected return. Variance is (R - ER) raised to power 2 multiplied by probability.
