Bonds X and Y are issued by different companies, but they both pay a semi-annual coupon of 10% pa and they have the same face value ($100), maturity (3 years) and yield (10%) as each other.
Which of the following statements is true?
You just agreed to a 30 year fully amortising mortgage loan with monthly payments of $2,500. The interest rate is 9% pa which is not expected to change.
How much did you borrow? After 10 years, how much will be owing on the mortgage? The interest rate is still 9% and is not expected to change. The below choices are given in the same order.
You want to buy a house priced at $400,000. You have saved a deposit of $40,000. The bank has agreed to lend you $360,000 as a fully amortising loan with a term of 30 years. The interest rate is 8% pa payable monthly and is not expected to change.
What will be your monthly payments?
You just bought $100,000 worth of inventory from a wholesale supplier. You are given the option of paying within 5 days and receiving a 2% discount, or paying the full price within 60 days.
You actually don't have the cash to pay within 5 days, but you could borrow it from the bank (as an overdraft) at 10% pa, given as an effective annual rate.
In 60 days you will have enough money to pay the full cost without having to borrow from the bank.
What is the implicit interest rate charged by the wholesale supplier, given as an effective annual rate? Also, should you borrow from the bank in 5 days to pay the supplier and receive the discount? Or just pay the full price on the last possible date?
Assume that there are 365 days per year.
An old company's Firm Free Cash Flow (FFCF, same as CFFA) is forecast in the graph below.
To value the firm's assets, the terminal value needs to be calculated using the perpetuity with growth formula:
###V_{\text{terminal, }t-1} = \dfrac{FFCF_{\text{terminal, }t}}{r-g}###
Which point corresponds to the best time to calculate the terminal value?
Find the cash flow from assets (CFFA) of the following project.
One Year Mining Project Data | ||
Project life | 1 year | |
Initial investment in building mine and equipment | $9m | |
Depreciation of mine and equipment over the year | $8m | |
Kilograms of gold mined at end of year | 1,000 | |
Sale price per kilogram | $0.05m | |
Variable cost per kilogram | $0.03m | |
Before-tax cost of closing mine at end of year | $4m | |
Tax rate | 30% | |
Note 1: Due to the project, the firm also anticipates finding some rare diamonds which will give before-tax revenues of $1m at the end of the year.
Note 2: The land that will be mined actually has thermal springs and a family of koalas that could be sold to an eco-tourist resort for an after-tax amount of $3m right now. However, if the mine goes ahead then this natural beauty will be destroyed.
Note 3: The mining equipment will have a book value of $1m at the end of the year for tax purposes. However, the equipment is expected to fetch $2.5m when it is sold.
Find the project's CFFA at time zero and one. Answers are given in millions of dollars ($m), with the first cash flow at time zero, and the second at time one.
Which of the below formulas gives the profit ##(\pi)## from being long a put option? Let the underlying asset price at maturity be ##S_T##, the exercise price be ##X_T## and the option price be ##f_{LP,0}##. Note that ##S_T##, ##X_T## and ##f_{LP,0}## are all positive numbers.
"Buy low, sell high" is a well-known saying. It suggests that investors should buy low then sell high, in that order.
How would you re-phrase that saying to describe short selling?
Question 948 VaR, expected shortfall
Below is a historical sample of returns on the S&P500 capital index.
S&P500 Capital Index Daily Returns Ranked from Best to Worst |
||
10,000 trading days from 4th August 1977 to 24 March 2017 based on closing prices. |
||
Rank | Date (DD-MM-YY) |
Continuously compounded daily return (% per day) |
1 | 21-10-87 | 9.23 |
2 | 08-03-83 | 8.97 |
3 | 13-11-08 | 8.3 |
4 | 30-09-08 | 8.09 |
5 | 28-10-08 | 8.01 |
6 | 29-10-87 | 7.28 |
… | … | … |
9980 | 11-12-08 | -5.51 |
9981 | 22-10-08 | -5.51 |
9982 | 08-08-11 | -5.54 |
9983 | 22-09-08 | -5.64 |
9984 | 11-09-86 | -5.69 |
9985 | 30-11-87 | -5.88 |
9986 | 14-04-00 | -5.99 |
9987 | 07-10-98 | -6.06 |
9988 | 08-01-88 | -6.51 |
9989 | 27-10-97 | -6.55 |
9990 | 13-10-89 | -6.62 |
9991 | 15-10-08 | -6.71 |
9992 | 29-09-08 | -6.85 |
9993 | 07-10-08 | -6.91 |
9994 | 14-11-08 | -7.64 |
9995 | 01-12-08 | -7.79 |
9996 | 29-10-08 | -8.05 |
9997 | 26-10-87 | -8.4 |
9998 | 31-08-98 | -8.45 |
9999 | 09-10-08 | -12.9 |
10000 | 19-10-87 | -23.36 |
Mean of all 10,000: | 0.0354 | |
Sample standard deviation of all 10,000: | 1.2062 | |
Sources: Bloomberg and S&P. | ||
Assume that the one-tail Z-statistic corresponding to a probability of 99.9% is exactly 3.09. Which of the following statements is NOT correct? Based on the historical data, the 99.9% daily: