Crawford Inc. uses a residual dividend policy. A debt/equity of 1.0 is considered optimal. Earnings for the period just ended were $1,400, and a total dividend of $420 was declared.
(a) How much new debt was taken? What was the total capital expenditure for investment?
(b) Suppose the company has 5,000 shares outstanding. The average tax rate on dividend is 15% and the tax rate on capital gain is 30%. What do you expect the company’s share price will drop after the dividend is paid.
In: Finance
T/F
If you formed a portfolio that consisted of all stocks with betas less than 1.0, the portfolio would have a beta coefficient that is equal to the weighted average beta of the stocks in the portfolio.
The beta of an "average stock," or "the market," does not change over time.
The slope of the SML is determined by the value of beta.
The CAPM is built on historic conditions, although in most cases we use expected future data in applying it.
"Risk aversion" implies that investors require higher expected returns on riskier than on less risky securities.
If you plotted the returns of a company against those of the market and found that the slope of your line was negative, the CAPM would indicate that the required rate of return on the stock should be less than the risk-free rate for a well-diversified investor, assuming that the observed relationship is expected to continue in the future.
A firm can have a positive beta, even if the correlation between its returns and those of another firm is negative.
One stock has a beta of 1.2 and another has a beta of -0.6. The returns on the stock with the negative beta must have been negatively correlated with returns on most other stocks
A stock with a beta equal to -1.0 has zero systematic (or market) risk.
In: Finance
Consider two local banks. Bank A has 100 loans outstanding, each for $1.0 million, that it expects will be repaid today. Each loan has a 4 % probability of default, in which case the bank is not repaid anything. The chance of default is independent across all the loans. Bank B has only one loan of $ 100 million outstanding, which it also expects will be repaid today. It also has a 4 % probability of not being repaid. Calculate the following: a. The expected overall payoff of each bank. b. The standard deviation of the overall payoff of each bank.
In: Finance
Not yet answered
Marked out of 1.0
Flag question
Question text
Which of the following transactions is not an example of an end of period adjustment?
Select one:
a. Supplies account is adjusted to the actual amount of supplies on hand.
b. Interest is accrued on the loan from the bank, although it has not yet been paid.
c. Depreciation is recorded on equipment.
d. New store equipment is purchased on account.
In: Accounting
C++
1.0: Customer Module
Create a customer account module to hold the residents details. Use a structure to store the following data about the customer account:
|
Field |
Description |
|
Account No |
Start with character C and followed by 5 digits (e.g. C10212) |
|
Name |
Resident name |
|
Address |
Current housing address |
|
Plot Number |
Special identifier of the house (3 digits value) |
|
Contact No |
Resident HP number (e.g. 0125354123) |
|
Date of Last Payment |
Date in (dd-mm-yyyy) format. (e.g 15-12-2019) |
|
Monthly Payment Amount |
Example $130.00 |
|
Account Balance |
Advance payment in the account |
The structure should be used to store customer account records in a file. In this module, you should provide a menu (refer to figure 1.0) that lets the user perform the following operations:
|
<>
Enter Option: Enter Option: |
|
<>
Enter Option: |
In: Computer Science
Exp19_Access_Ch02_Capstone - International Foodies 1.0
Project Description:
International Foodies is an importer of exotic foods from all over the world. You landed a summer internship with the company and discovered that their product lists and the suppliers they buy from are stored in Excel workbooks. You offer to help by using your newly gained knowledge of Access to create a relational database for them. You will begin by importing the workbooks from Excel into a new Access database. Your manager mentions that she would also like a table that specifies food categories so that you can relate the products you sell to specific categories in the database. You will create a table from scratch to track categories, create relationships between the tables, and create some baseline queries.
Steps to Perform:
|
Step |
Instructions |
Points Possible |
|
1 |
Start Access. Open the downloaded Access file named Exp19_Access_Ch2_Cap_Foodies. Grader has automatically added your last name to the beginning of the filename. Save the file to the location where you are storing your files. |
0 |
|
2 |
You will examine the data in the downloaded Excel worksheets to
determine which fields will become the primary keys in each table
and which fields will become the foreign keys so that you can join
them in the database. |
10 |
|
3 |
Import the Products.xlsx workbook, set the ProductID Indexed option to Yes (No Duplicates), and select ProductID as the primary key. Accept the table name Products. |
10 |
|
4 |
Change the Field Size of the QuantityPerUnit field to 25 in Design view of the Products table. Set the Field Size of ProductID and CategoryID to Long Integer. Save the changes and open the table in Datasheet view. Open the Suppliers table in Datasheet view to examine the data. Close the tables. |
4 |
|
5 |
You will create a new table that will enable International
Foodies to associate each product with a food category in the
database. |
6 |
|
6 |
|
6 |
|
7 |
Add CategoryDescription with the Long Text Data Type. Set the Caption property to Category Description. Switch to Datasheet view and save the table when prompted. You will enter Category data into the table in the next step. |
4 |
|
8 |
Category ID Category Name Category Description 1 BEVERAGES SOFT DRINKS, COFFEES, TEAS 2 CONDIMENTS SAUCES, RELISHES, SEASONINGS 3 CONFECTIONS DESSERTS, CANDIES, SWEET BREADS 4 DAIRY PRODUCTS CHEESES 5 GRAINS/CEREALS BREADS, PASTA, CEREAL 6 MEAT/POULTRY PREPARED MEATS 7 PRODUCE DRIED FRUIT, BEAN CURD
8 SEAFOOD SEAWEED
AND FISH |
6 |
|
9 |
You will create the relationships between the tables using the
Relationships window. |
12 |
|
10 |
You will use the Simple Query Wizard to create a query of all
products that you import in the seafood category. |
10 |
|
11 |
Add a criterion in Design view, to include only products with 8 as the CategoryID. |
2 |
|
12 |
Sort the query results in ascending order by ProductName. Run, save, and close the query. |
2 |
|
13 |
You want to create a query that displays actual category names
rather than the CategoryIDs. You are interested to know which meat
and poultry products are imported. You will copy the Seafood
Products query and modify it to delete a field, then add an
additional table and field. |
2 |
|
14 |
Open the Seafood Or Meat/Poultry query in Design view and delete the CategoryIDcolumn. |
2 |
|
15 |
Add the Categories table to the top pane of the query design window. Add the CategoryName field to the last column of the design grid and set the criterion as "Seafood" Or "Meat/Poultry". Run, save, and close the query. |
4 |
In: Computer Science
In: Chemistry
Create a XSD Schema to validate and provide structure for the XML document below:
<?xml version="1.0" encoding="UTF-8" ?>
<forecast qTime="28/10/20 10:00 PM"
qLocation="Singapore">
<weather yyyymmdd="20200430">
<year>2020</year>
<month>04</month>
<date>30</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>32.6</highest>
<lowest>28.4</lowest>
</weather>
<weather yyyymmdd="20200218">
<year>2020</year>
<month>02</month>
<date>18</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>34.6</highest>
<lowest>30.5</lowest>
</weather>
<weather yyyymmdd="20200710">
<year>2020</year>
<month>07</month>
<date>10</date>
<comment>Partly sunny</comment>
<code>partlySunny</code>
<highest>33.1</highest>
<lowest>29.2</lowest>
</weather>
<weather yyyymmdd="20200616">
<year>2020</year>
<month>06</month>
<date>16</date>
<comment>Considerable clouds</comment>
<code>cloudy</code>
<highest>30.5</highest>
<lowest>25.4</lowest>
</weather>
<weather yyyymmdd="20200612">
<year>2020</year>
<month>06</month>
<date>12</date>
<comment>Cloudy with a thunderstorm</comment>
<code>thunderstorm</code>
<highest>29.1</highest>
<lowest>23.2</lowest>
</weather>
<weather yyyymmdd="20200421">
<year>2020</year>
<month>04</month>
<date>21</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>32.2</highest>
<lowest>29.8</lowest>
</weather>
<weather yyyymmdd="20200628">
<year>2020</year>
<month>06</month>
<date>28</date>
<comment>A morning shower, then rain</comment>
<code>rain</code>
<highest>30.2</highest>
<lowest>22.7</lowest>
</weather>
<weather>
<weather yyyymmdd="20200502">
<year>2020</year>
<month>05</month>
<date>02</date>
<comment>Cloudy with a thunderstorm</comment>
<code>thunderstorm</code>
<highest>28.1</highest>
<lowest>26.9</lowest>
</weather>
<weather yyyymmdd="20200428">
<year>2020</year>
<month>04</month>
<date>28</date>
<comment>A morning shower</comment>
<code>rain</code>
<highest>28.8</highest>
<lowest>22.2</lowest>
</weather>
<weather yyyymmdd="20200410">
<year>2020</year>
<month>04</month>
<date>10</date>
<comment>Partly sunny</comment>
<code>partlySunny</code>
<highest>33.7</highest>
<lowest>29.3</lowest>
</weather>
<weather yyyymmdd="20200730">
<year>2020</year>
<month>07</month>
<date>30</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>32.3</highest>
<lowest>28.4</lowest>
</weather>
<weather yyyymmdd="20200706">
<year>2020</year>
<month>07</month>
<date>06</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>34.5</highest>
<lowest>30.6</lowest>
</weather>
</forecast>
In: Computer Science
Using 1.0 nM enzyme X for the enzyme kinetics experiments, you obtained the reaction rates at different concentrations of substrate (shown in the following table). Assume that the enzyme X follows a typical Michaelis-Menten kinetics.
[substrate] (μM) Reaction rate (μmol/min)
2 7
5 17
10 29
20 44
50 67
100 80
200 89
500 95
1000 98
a) Estimate the Vmax and Km values of the enzyme in this reaction using double reciprocal plot.
b) If 5.0 nM of the enzyme X is used in the experiment, what will be the Vmax and Km of the enzyme X?.
In: Chemistry
Air at 90.0°C and 1.0 atm (absolute) contains 7.0 mole% water. A continuous stream of this air enters a compressor–condenser, in which the temperature is lowered to 18.6°C and the pressure is raised to 2.90 atm. The air leaving the condenser is then heated isobarically to 90.0°C. Calculate the fraction of water that is condensed from the air, the relative humidity of the outlet air at 90.0°C, and the ratio (m3 outlet air at 90.0°C)/(m3 feed air) at 90.0°C.
Find
Fraction of water condensed
Relative humidity of the outlet air
Volume ratio of outlet to inlet air:
In: Other