Fight Finance

(a) $0

(b) $50.0000

(c) $51.3158

(d) $102.6316

(e) $1,000.0000

(a) 36.2655

(b) 55.8395

(c) 59.3381

(d) 77.9197

(e) 87.3629

(a) $43m

(b) $31m

(c) $23m

(d) $11m

(e) $1m

(a) ##r_V = \dfrac{D}{V}.r_D + \dfrac{E}{V}.r_E##

(b) ##\beta_V = \dfrac{D}{V}.\beta_D + \dfrac{E}{V}.\beta_E##

(c) ##\sigma_\text{V syst}^2 = \left(\dfrac{D}{V}\right)^2.\sigma_\text{D syst}^2 + \left(\dfrac{E}{V}\right)^2.\sigma_\text{E syst}^2##

(d) ##\sigma_\text{V idio}^2 = \left(\dfrac{D}{V}\right)^2.\sigma_\text{D idio}^2 + \left(\dfrac{E}{V}\right)^2.\sigma_\text{E idio}^2 + 2.\dfrac{D}{V}.\dfrac{E}{V}.\rho_\text{D idio, E idio}.\sigma_\text{D idio}.\sigma_\text{E idio}##

(e) ##\sigma_\text{V total}^2 = \left(\dfrac{D}{V}\right)^2.\sigma_\text{D total}^2 + \left(\dfrac{E}{V}\right)^2.\sigma_\text{E total}^2##

(a) 64%

(b) 40%

(c) 37.5%

(d) 25%

(e) 6.25%

(a) 9.7617696% is the APR compounding semi-annually ##(r_\text{apr comp 6mth})##

(b) 9.5689685% is the APR compounding monthly ##(r_\text{apr comp monthly})##

(c) 9.6454756% is the APR compounding daily ##(r_\text{apr comp daily})##

(d) 9.5310182% is the APR compounding per second ##(r_\text{apr comp per second})##

(e) 9.5310180% is the continuously compounded rate per annum ##(r_\text{cc annual})##

(a) The geometric average of the gross discrete returns (GAGDR) equals 1.04075 which is 104.075%.

(b) ##\exp \left( \text{GAGDR} \right) = \text{AALGDR}##. The natural exponent of the GAGDR equals the arithmetic average of the logarithms of the gross discrete returns (AALGDR).

(c) ##\text{GAGDR}^T = \left( P_T/P_0 \right)##. The GAGDR raised to the power of the number of time period that it's measured over equals the ratio of the first and last prices.

(d) ##\text{GAGDR} = \exp \left( \text{AALGDR} \right)##. This is always true, regardless of the distribution of the prices or returns. The logarithm of the geometric average of the gross discrete returns (LGAGDR) is always equal to the arithmetic average of the logarithm of the gross discrete returns (AALGDR).

(e) ##\text{AAGDR} \approx \exp \left( \text{AALGDR} + \text{SDLGDR}^2/2 \right)##. This is only approximately true and depends on the distribution of the prices and returns. It's asymptotically true as the time period that the returns are measured over reaches infinity.

(a) The returns ##r_\text{t monthly}## are continuously compounded monthly returns.

(b) The mean, median and mode of the continuously compounded annual return is expected to equal 0.8% per month.

(c) The annualised average continuously compounded return is ##\bar{r}_\text{cc annual}=12×0.008=0.096=9.6\%\text{ pa}##. The annualised standard deviation is ##\sigma_\text{annual} = \sqrt{12}×0.15=0.519615242 = 52\%\text{ pa}##.

(d) If the current price of the BHP shares is $20, they're expected to have a median value of $52.2339 ##(= 20×e^{0.008×12×10})## in 10 years.

(e) If the current price of the BHP shares is $20, they're expected to have a mean value of $13.5411 ##(= 20×e^{(0.008 - 0.15^2/2)×12×10})## in 10 years.

(a) The initial futures price is $49.3471.

(b) The initial value of the futures contract is zero.

(c) If the oil price falls to $35 per barrel in one year then the value of the futures contract at that time would be -$11.2334.

(d) If the oil price is still at $40 per barrel in one year then the value of the futures contract at that time would be zero.

(e) If the oil price rises to $45 per barrel in one year then the value of the futures contract at that time would be -$1.0314.

(a) Best day of the 5% worst days’ results.

(b) Worst day of the 5% worst days’ results.

(c) Best day of the 5% best days’ results.

(d) Worst day of the 5% best days’ results.

(e) Best day of the 95% worst days’ results.