Answer:
$800
Explanation:
$800 = $400 cash + ($1.0 x 40 shares) common share + ($9 x 40 shares) adjusted price in common shares
Answer:
(A) $1,055.35 (B) $2,180.53 (C) $780.07 (D) $412.08.
Explanation:
The tenor of the bond is 27 years i.e. (27 * 2=) 54 periods of 6 months each (n).
Face Value (F) = $1,000
Coupon (C) = 6% annually = 3% semi annually = (3% * 1000 face value) = $30.
The Present Value (PV) of the Bond is computed as follows.
PV of recurring coupon payments + PV of face value at maturity
= 
A) Yield = 5.6% annually = 2.8% semi annually.

= 830.25 + 225.10
= $1,055.35.
B) Yield = 1% annually = 0.5% semi annually.

= 1,416.64 + 763.89
= $2,180.53.
C) Yield = 8% annually = 4% semi annually.

= 659.79 + 120.28
= $780.07.
D) Yield = 15% annually = 7.5% semi annually.

= 391.95 + 20.13
= $412.08.
Answer:
D
Explanation:
Firstly, before we answer this question, we need to know what a futures contract is.
A futures contract can be defined as an agreement specifying the delivery of a commodity or a security at an agreed future date and at a currently agreed price.
This means to set a future contract rolling, we need to have an agreed date if delivery and currently agreed price by both parties involved.
Now, to the question, the correct answer is D. He has the obligation to deliver the underlying financial instrument at the specified future date
<h3><u>
Full question:</u></h3>
A linear regression to estimate the relation between General Motors' stock returns and the market's return gives the best fitting line that represents the relation between the stock and the market. The slope of this line is our estimate of ________.
A) alpha
B) beta
C) risk-free rate
D) volatility
<h3><u>
Answer:</u></h3>
A linear regression to estimate the relation between General Motors' stock returns and the market's return gives the best fitting line that represents the relation between the stock and the market. The slope of this line is our estimate of beta
<h3><u>
Explanation:</u></h3>
Beta is a broadly applied amount in investment commentary. In economics, the beta of a firm applies to the subtlety of its heritage price concerning an average or benchmark. SLOPE which describes the linear regression implemented among the two variables.
Manipulating beta tacts can be beneficial as a member of a wider investment strategy to restrain downside risk or accomplish short-term gains, but it's essential to retrieve that it is also controlled to the same levels of market levity as any other trading strategy. A beta may yield varying results because of the fluctuations in determining it, such as various periods practiced to estimate data.