Answer:
Option D Are obligations that the company is to pay within the forthcoming year.
Explanation:
The liabilities are the obligation of the company that has arisen due to the occurence of past event and the organization is liable to pay the consideration (something that is valuable in monetary terms) to party. Their are many obligations that are not written in the financial statement which IAS 37 Provisions, Contingent Liabilities and Contingent Assets, does not permit to include in financial statement depending upon the chances of liability arising is remote or reasonably possible but not certain or probable. So the right answer is option D.
Answer: a par
Explanation:
From the question, we are informed that an investor wishes to buy a new issue of U.S. Government agency bonds and was recommend that the customer purchase Federal Home Loan Bank bonds with a 20 year maturity.
It should be noted that new issues that relate to agency securities are typically sold by a selling group which will be appointed by the agency and such groups are usually made up of broker dealers and large banks.
The group will then sell the issue to the public at par and out of the revenue that is made, a selling concession will be paid by the agency to the selling group.
I believe this is true.
Hope this helps!
A data warehouse is an integrated collection of data that can include seemingly unrelated information, no matter where it is stored in the company.
An enterprise data warehouse (EDW), sometimes referred to as a data warehouse (DW or DWH) in computing, is a system used for reporting and data analysis and is regarded as a key element of business intelligence.
data warehouse DWs serve as a central repository for combined data from a variety of sources.
They keep both recent and old data in a single location that is utilized to provide analytical reports for employees across the whole company.
The operational systems upload the data that is kept in the warehouse (such as marketing or sales).
Before being used in the data warehouse for reporting, the data may go via operational data storage and require data cleansing for extra activities to ensure data quality.
Learn more about the data warehouse here:
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