Answer:
a. investment risk
Explanation:
Risk is the potential of an action or activity (including the option not to move) to cause an undesired loss or event. The idea implies that a choice affects the outcome. The same potential losses can be called "risk".
Investment risk: We can define it as the inappropriateness between the actual and expected returns. Because on this type of risk, there may be occurrence of any losses with some probability or likelihood which will be relative the expected return.
Asset class is about the grouping process of investments which have some mutual or similar characteristics. The risk on this case is something has relative elasticity compared to another investment in the market. Usually, there is 3 groups of asset classes: equities, bonds and money market instruments.
The market risk which is called sometimes as systematic risk. This risk consider the entire market and has effects on this scale. The investor who undertook this risk will see that the factors which affect the overall performance of the whole marketplace.
Opportunity cost is the cost when you have purchased, chose or bought the product compared to another product. However, you will notice that if you buy another one you will get more value or consumer surplus but you have just bought and you missed chance. This is the opportunity cost
Answer: (63, 50, 44)
Explanation:
Utility is the satisfaction that we derive as consumers when we consume or use a certain product.
Since Bundle A is strictly preferred to bundle B, and bundle B is strictly preferred to bundle C, it means that the value of Bundle A must be more than B and C while that of Bundle B must be more than bundle C.
Therefore, the correct option is B which is (63, 50, 44)
The core goal of business is to generate long term relationships by delivering quality products to their customers.
Answer:
D- Terminated
Explanation
The original offer is terminated and a new offer is formed.
Answer: Data Mining
Explanation: Mara Kay tasked with identifying previously unknown relationships in the company's sales data. This is an indication that Mara Kay will be working with pre-existing company data.
Data Mining can therefore be defined as the examination of large pre-existing databases in order to discover/identify patterns that will be useful in generating new information.
Data Mining is also known as Knowledge Discovery in Databases.
Data Mining will not be complete if the results of the analysis are not used for future purposes, therefore, Mara Kay will use the results of her findings for future promotions.
