Answer:
The remaining part of the question:
Which statement is TRUE?
A. Because the payment received by the IAR is small, there is no requirement to notify the client of the payment arrangement with the executing broker
B. Because the client has an investment objective of aggressive growth, requiring an active trading strategy, there is no requirement to notify the client of the payment arrangement with the executing broker
C. The IAR must notify the client of the payment arrangement with the executing broker
D. The IAR must notify RIA of the payment arrangement with the executing broker
<u>Correct Answer:</u>
<u>C. The IAR must notify the client of the payment arrangement with the executing broker
.</u>
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Explanation:
Answer:
Income effect
Explanation:
Own price increases are associated with decreases in quantity demanded, ceteris paribus. These decreases in quantity demanded are composed of two effects, the substitution effect and the<u> Income effect.</u>
We know as per the law of demand, price increases lead to decrease in the quantity demanded if factor remain constant.
Quantity demanded has effect of two other major factors:
- Subtitution effect.
- Income effect.
Subtitution effect: It is the price of subtitution goods & services also lead to increase and decrease of demand for any particular goods.
Example: Price of tea and coffee.
Income effect: It is the income of consumer that effect the demand of any goods & sevices, as with the increase in income of consumer, their demand for inferior goods decreases and demand for branded goods increases.
Example: Non branded clothes and branded clothes.
Answer:
Explanation:
Data given and notation
represent the sample mean
represent the standard deviation for the sample
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to determine if the mean is lower than 5600, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
Answer:
$42.5 billion
Explanation:
the expected value formula = ∑ (valueₙ x probabilityₙ)
expected value = (low value x probability of low value) + (most likely value x probability of most likely value) + (high value x probability of high value)
= ($5 billion x 20%) + ($45 billion x 70%) + ($100 billion x 10%) = $1 billion + $31.5 billion + $10 billion = $42.5 billion