Answer:
i=4.84%
Explanation:
the key to answer this question, is to remember the model of return for a perpeuity dividend calculation:
where value is the current stock price, i is the dividend yield and k is the growth rate, so applying to this particular case we have
k=3.4/91
k=3.74%
and solving i for the previous formula:
It is company policy to get "slotting allowance" in order to secure shelf space for new brands.
Slotting allowance or fee is the expense charged to makers/producers by the market retailers for different reasons like keeping their items, stocking the item in its stockroom, or stock and IT support. The slotting allowance may likewise be charged on the marketing expenditure brought about by the organization for the item.
Answer:
The correct answer is The covenant of warranty.
Explanation:
It is said that in this type of pact a public and peaceful possession must be written, which can be exercised so that it can be known by society. The possession of the property must be declared as continuous (that is, there can be no claim by the owner or the property is lost), and must be exercised as the legitimate owner before third parties.
Exchange
<span>Exchange is simply the act of the of giving and receiving between two individuals or two groups. A trade is a typical example of an exchange.
For instance, if a farmer gives a fixed number of eggs to another farmer for a
fixed quantity of cow’s milk, this is an exchange. Similarly, if a house guest offers to cook and
clean in return for free accommodation, this is an exchange. </span>
Answer:
In order to make a decision utilizing a decision tree, you must:___________
b. begin at Time 0 and work towards the most distant point in time.
Explanation:
Decision trees are built up by starting from the present with the overarching objective (goal) in mind. Then, one classifies the information along various branches and leaf nodes, with each branch representing the outcome of an alternative route or a question answered based on the likelihood of the event happening. Each leaf node represents a class label (decision taken after computing all attributes). This structure can be used to predict likely values of data attributes.