Answer:
A) an employee of the firm with a degree in communications whose job is the graphic design of the investment adviser's research publications
Explanation:
In this case, the employee who performs tasks related to graphic design, but doesn't carry out any function similar to an associate partner or director of an investment adviser, is not considered a "person associated with an investment adviser". Even if that person actually worked for the investment adviser, his/her functions are considered clerical, the same as a secretary or receptionist.
Answer:
D) Shares in a brewery
Explanation:
Beer is not a durable good, and the security analyst reported non-durable goods are not going to perform well. The analyst didn't specify which non-durable goods would not perform well, but beer is the only possible option. The other three alternatives all relate to durable goods (steel, industries, home appliances).
Answer:
a bona fide occupational qualification
Explanation:
Bona Fide Occupational Qualification is a term used to describe a type of discrimination that is not illegal, even if it seems. It is a positive discrimination used by companies to hire new employees, when necessary, based on factors that are considered discriminatory such as gender, religion, nationality, among others.
An example of this can be seen when the film recording industry needs to hire an Asian actor to play a character of Asian origin. This industry uses nationality as a discriminatory factor to hire someone, but in this scenario, this does not discriminate.
It is true that ''In a forecasting model using simple moving average, the shorter the time span used for calculating the moving average, the closer the average follows volatile trends''.
There are three fundamental categories: causal models, time series analysis and projection, and qualitative approaches. The first makes use of qualitative data (such as the judgement of experts) and details about noteworthy occasions of the sort already discussed, and may or may not take historical factors into account.
Although there are many commonly used quantitative budget forecasting tools, in this article we concentrate on the top four techniques: Straight-line, moving average, simple linear regression, multiple linear regression, and straight-line.
The Global Forecast System (GFS) of the National Weather Service and the European Center for Medium-Range Weather Forecast (ECMWF) model are the two most well-known NWP models. The American and European models are other names for them.
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