Answer:
In the interest of clients
Explanation:
Remember an investment advisor provides guidance to clients in exchange for agreed fees. Because of this relationship the Investment advisor owe a fiduciary duty to clients; meaning they are madated to put the clients’ interests over their own.
In this scenario the investment advisor first buys 1000 shares of ABC common stock for his personal account.
Considering the clients interest first he buys shares of ABC stock that are greater than his worth 100,000 which he allocates to customer accounts.
The items that affect incentives
for people to produce and exchange goods and services are:
liability rules
property rights
contract enforcement
<span>These factors will hinder the exchange of goods
and services to people.</span>
Answer: The correct answer is YES it is admissible as evidence of the plumber's fault.
Explanation: An Evidence has probative value if it tends to prove an issue. The testimony of the homeowner of the regarding the plumber's response is a party admission. It is admissible as a hearsay exemption under Rule 801(d)(2)(A) which explains that a statement or statemens made by a party in a case cannot be excluded as hearsay when offered against him by the opponent. As such, the statement is a probative evidence.
In this scenario, Blue Tech Inc.'s failure can be best attributed to <u>"Time compression diseconomies."</u>
We accept time compression diseconomies where the snappier a firm builds up the asset, the higher the improvement cost. We demonstrate that time compression diseconomies normally offer ascent to asset heterogeneity and henceforth upper hand in that one firm builds up the asset quicker than the other. We evaluate the supportability of the upper hand, determine conditions
under which the asset is "incomparable" and demonstrate that firm benefits are nonmonotonic in the degree of time compression diseconomies.
Answer:
A. 0.684
Explanation:
A seasonal index refers to an index that is used to compare the value for a particular period with the average value of all periods.
The purpose of using a seasonal index is to show the relationship between the two values, and the degree to which the two values are different.
The seasonal index can be calculated as the latest value for a period divided by the average of all periods. Therefore, we have:
Seasonal index for July = Latest value for July / Average demand over all months = 130 / 190 = 0.684.
Therefore, he approximate seasonal index for July is 0.684.