If the severity of risk is low and the frequency of the risk event occurring is high thanwe should Avoid the risk.
High Frequency/ High Severity- Risks are almost certain to occur and when they occur impact will be very high. In such a case it is best to use Avoidance as a risk management technique. If avoidance is not possible then prevention and insurance techniques can be considered. High frequency/ Low severity- This more serious risk and occurrence is high but the impact is low. Examples of such risks include workers’ injuries and shoplifting. A common way to manage this type of risk is through Prevention.
Low frequency/ High severity- The impact of these kinds of risks is very high and can bankrupt a business. Insurance is the best technique to manage these risks that have low loss frequency and high loss severity. Low frequency/ Low severity- Retaining and self-insuring the risk. Risk occurrence is low and impact is also very low. In most cases, the costs of managing them outweigh the cost of retaining them.
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Answer:
b. Noise
Explanation:
Although there are other factors that may act as barriers to effective communication. However the most likely factor here is noise.
It is most likely that when Mary was stating that a dozen cookies cost $2.99, the newspaper staff was affected by noise coming from people or the printing press machines and thought he had heard $29.90.
Answer:
3.3%
Explanation:
The yearly rate of return is calculated by taking the amount of money gained or lost at the end of the year and dividing it by the initial investment at the beginning of the year.
DATA
Future value = $25,000
Present value = $18,000
Time = 10 years
Formula:
Annual return = 
Annual return = 
Annal return = 3.3%
Answer:
The payoff from holding the position between June and August is $2,100 "loss"
Explanation:
Since I had gone long on the contract and it has gone down in value, I would be having a loss. The value of the loss will be:
= ($1.5 - $1.45) x 42,000 gallon of RBOB gasoline
= $0.05 * 42,000 gallon of RBOB gasoline
= $2,100 (Loss)
