Answer: a. $1,000.0m
Explanation:
Even though the company's enterprise value has no growth, the equity investment of the sponsor will rise from $500.0m when purchased to $1,000.0m when the target for the value of the enterprise is sold for $1500.0m.
The debt was $1000m at year 0 while the remaining $500m was for equity. It should be noted that at the fifth year, equity will be $1,000.0m while the debt will be $500m.
In forward and futures contracts, the risk of non-fulfillment of contract terms is most likely borne by <u>both parties</u><u> to the contract</u>.
<h3>What are forward and futures contracts?</h3>
The difference between a forward and futures contract lies in their establishment.
A forward contract is a personal arrangement traded over the counter whereas, a futures contract is a standardized contract made through an established exchange.
Thus, in forward and futures contracts, the risk of non-fulfillment of contract terms is most likely borne by <u>both parties</u><u> to the contract</u>.
Learn more about forward and futures contacts at brainly.com/question/15581105
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<span>Buying a bond does not constitute ownership in a company. In the event that Touchtech, or any firm that issues a bond, runs into financial difficulty, bondholders are the first to be paid. Sean, as a bondholder, would be among the first paid.</span>
Answer:
Explanation:
Base on the scenario been described in the question, we use the following method to solve the question
d = 75 lbs/day 200 days per year
D= 15,000 lb/year H= $3/lb/year S= $16/order
Answer:
The options for this question are the following:
a. 1
b. 2
c. 0.5
d. 1.5
The correct answer is a. 1
.
Explanation:
Group analysis or grouping is the task of grouping a set of objects in such a way that the members of the same group (called a cluster) are more similar, in some sense or another. It is the main task of exploratory data mining and is a common technique in the analysis of statistical data. It is also used in multiple fields such as machine learning, pattern recognition, image analysis, information search and retrieval, bioinformatics, data compression and graphic computing.
Group analysis is not in itself a specific algorithm, but the task pending solution. Clustering can be done using several algorithms that differ significantly in your idea of what constitutes a group and how to find them efficiently. Classical group ideas include small distances between members of the group, dense areas of the data space, intervals or particular statistical distributions. Clustering, therefore, can be formulated as a multi-objective optimization problem. The appropriate algorithm and the values of the parameters (including values such as the distance function to use, a density threshold or the number of expected groups) depend on the set of data analyzed and the use that will be given to the results. Grouping as such is not an automatic task, but an iterative process of data mining or interactive multi-objective optimization that involves trial and failure. It will often be necessary to pre-process the data and adjust the model parameters until the result has the desired properties.
