Answer:
The correct answer is option B.
Explanation:
According to the efficient market hypothesis, when the market is in semi-strong form the future changes in the stock prices cannot be predicted by the publicly available information.
The stock prices quickly adjust to all the publicly available information. In this situation, an investor can earn above-average returns if he possesses private information which is not available to all.
When deciding the cost of an insurance policy being applied to the customer, then the underwriting experts used the concept of data analytics.
Option C is the correct answer.
<h3>What is underwriting?</h3>
Underwriting is the act where the underwriters confirm the loan approval after analyzing the debt, income, and assets of the borrower.
The concept of data analytics is one of the processes applied to analyze the data along with collection and modeling. it helps the underwriters to figure out the conclusions based on the trends and patterns of the data.
Therefore, data analytics is the tool that underwriters used to compute the cost of insurance policy for the customer.
Learn more about the underwriting in the related link:
brainly.com/question/24988092
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Answer:
Items a) and b)
a) items used currently in the production of goods to be sold items
b) held for resale items currently in production for future
Explanation:
Inventory consists of current assets to be used in production of final goods or are the ones which are final goods and held for sale.
In the given case also, statement a includes raw materials, which are used to make the final good to be sold, which is a part of inventory.
Further, statement b includes work in production or final goods which are currently in production but would be resold.
The items which are kept for their use as like machinery or furniture or which shall be disposed are not inventory but are in fixed assets category.
Answer:
B. It can help create jobs in the economy by increasing demand for goods and services
Explanation:
The correct answer is when you have large volumes of data you need to track and analyze. This is because a database is used to arrange large volumes of data so that they can be easily accessed or tracked,managed and analysed. As such, a good time to create a database will be when you have large volumes of data to track and analyse.
