Answer and Explanation:
a. The computation of price (expressed as a percentage of the face value) is shown below:-
Price = Face value ÷ (1 + Yield to maturity)^Number of the compounding period
= $1,000 ÷ (1 + 0.0323)^1
= $1,000 ÷ 1.0323
= $968.71
Price expected as a percentage to a face value = Price ÷ Face value × 100
= $968.71 ÷ $1,000 × 100
= 96.87%
b. The computation of credit spread of AAA-rated corporate bonds is shown below:-
Credit spread = Yield of AAA-rated corporate bond - Yield of treasury bond
= 3.23% - 3.15%
= 0.08%
c. The computation of credit spread on B-rated corporate bonds is shown below:-
Credit spread = Yield of B-rated corporate bond - Yeld of treasury bond
= 4.94% - 3.15%
= 1.79%
d. The credit rating for a bond changes with its respective credit risk change. That implies the bond 's rating would be lower the lower risk, and likewise.
The investor is demanding higher returns on risky bonds for additional risk-taking. Hence the credit spread is widening as the rating of bonds falls with an increase in the risk.
COIs stands for Conflicts of Interests. COIs occur when there are two or more interest of contradiction due to any activity in an institution or organization. FDA has regulations for the COIs in clinical research. The FDA regulations governing disclosure of individual COIs require disclosure of Significant Financial Interests that would effect the funding.
Options :
A) be strongly motivated and perform well
B) be poorly motivated out of fear, and perform poorly
C) develop severe emotional symptoms of stress
D) develop severe physical symptoms of stress
Answer: A) be strongly motivated and perform well
Explanation: Stressors pertaining to business may be explained as those demands which a job or business requires of workers. The challenge stressor includes demands such as volume of chores or workload, time constraint and other factors which could be place added responsibility or burden on an individual. In most cases however, these responsibilities or burden usually acts to motivate the employee or business owner and in the long run aids personal and professional growth. In the scenario above, The challenge stressor which Todd is faced with is one which requires him to be on top and thus requires preparation so as to be able to perform well and not appear as a novice during the business meeting. Hence, this should motivate him and hence put up a good performance.
Answer:
Exploration
Explanation:
Exploration or career exploration in the career development process can be described as a process of learning about different occupations or job titles exist and determining how they fit into the unique career preferences of a job seeker.
The unique career preferences include values, skills and interest which the job seeker intends for his career to satisfy.
Career exploration is usually carried out after or during the identification of career preferences by a job seeker via self-assessment.
Since the U.S. Department of Labor provides about 840 classifications of occupations, a visit to their website by Gary to carry out a research indicates that he is engaging in the exploration step of the career development process.
Answer:
Latoya is responsible for her company’s human resource information system. She wants to expand the system’s usefulness and is preparing a recommendation to add data-mining applications. What does data mining involve?
a) analyzing large amounts of data, such as employee pay and performance
Explanation:
An information system is a combination of components that work collectively in the storage, transfer and processing of data. Information systems have various features including data mining which is a major component. Data mining can be defined as the process which data input is converted into useful information or output. In a company situation, there is usually large blocks of data. Going through these data blocks manually can be very tedious and time-consuming , thus costly. In most organizations however, they utilize data mining to break data down into simpler information that can be understood in a short time.
Data mining works by going through large data blocks and extracting relevant trends and patterns in them. Data mining has a number of uses, namely; detection of fraud, risk management of credit, and filtering opinion of users. The steps involved include: collection of data, then the data is loaded and stored in organizational servers, then analysts organize the data, then the data is processed using a software and finally the end result is presented in an easy to understand format.
In our case, Latoya is the company's human resource information system manager, thus her data-mining will probably involve analyzing large amounts of data, such as employee pay and performance.