Fight Finance

(a) ## d_1(1+g)^3 ##

(b) ## P_3(r-g) ##

(c) ## d_2(1+g)^2 ##

(d) ## P_0(1+g)^3(r-g) ##

(e) ## P_0(1+g)^2(r-g) ##

(a) The prices of bonds A and B will be more than $100.

(b) The prices of bonds A and B will be less than $100.

(c) Bond A will have a price more than $100, and bond B will have a price less than $100.

(d) Bond A will have a price less than $100, and bond B will have a price more than $100.

(e) Bonds A and B will both have a price of $100.

(a) ##\sigma_\text{annual} = 0.09 \times 5 + 0.14 \times 7##

(b) ##\sigma_\text{annual} = (0.09 \times 5 + 0.14 \times 7)^{1/2}##

(c) ##\sigma_\text{annual} = (0.09^2 \times 5 + 0.14^2 \times 7)^{1/2}##

(d) ##\sigma_\text{annual} = (1+0.09)^5\times (1+0.14)^7 - 1##

(e) ##\sigma_\text{annual} = \left( \dfrac{0.09^2 \times 5 + 0.14^2 \times 7}{12} \right)^{1/2}##

(a) Illiquid small private companies.

(b) Exchange-listed companies operating in stagnant industries with negative growth prospects.

(c) Exchange-listed companies expected to have temporarily high earnings over the next year, but with lower earnings later.

(d) Exchange-listed companies operating in high-risk industries with very high required returns on equity.

(e) Exchange-listed companies whose assets include a very large proportion of cash.

(a) $472.3557

(b) $471.298

(c) $436.7194

(d) $435.7415

(e) $405.8112

(a) Borrow $636.3636 and use it to buy 0.9091 ounces of gold right now (t=0). Then pay back the loan with $700 at the end (t=1).

(b) Borrow $700 and use it to buy 1 ounce of gold right now (t=0). Then pay back the loan with $770 at the end (t=1).

(c) Borrow $727.2727 and use it to buy 1 ounce of gold right now (t=0). Then pay back the loan with $800 at the end (t=1).

(d) Borrow $800 and use it to buy 1.1039 ounces of gold right now (t=0). Then pay back the loan with $880 at the end (t=1).

(e) Borrow $880 and use it to buy 1 ounce of gold right now (t=0). Then pay back the loan with $800 at the end (t=1).

(a) ##F_1=110.5171, V_0=0, V_\text{0.5, SF}=14.7829##

(b) ##F_1=110.5171, V_0=0, V_\text{0.5, SF}=15.1271##

(c) ##F_1=99.8244, V_0=0, V_\text{0.5, SF}=14.7829##

(d) ##F_1=99.8244, V_0=0, V_\text{0.5, SF}=20.5171##

(e) ##F_1=99.8244, V_0=0, V_\text{0.5, SF}=9.9144##

If a stock's expected future prices are log-normally distributed, what will be bigger, the stock's or future price? Or would you expect them to be ?

(a) Betas of the Solar and Beach companies will only measure the companies’ sensitivity to the market portfolio risk factor, not the cloud coverage factor.

(b) Will under-estimate the Solar and Beach stocks’ systematic variance.

(c) Will under-estimate the Solar and Beach stocks’ diversifiable variance.

(d) Models will show positive correlations between the Solar and Beach stock’s residual (also called idiosyncratic or diversifiable) returns.

(a) The more risky the asset is from a financial analyst’s perspective.

(b) The higher the chance of a large loss.

(c) The higher the chance of a large gain.

(d) The more predictable the asset’s future price is.

(e) The higher the variance of returns.