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2 years ago

The situation that allows the broker to appoint one or more agents for the client within the same firm, is called

Business

1 answer:

xeze [42]2 years ago

6 0

Answer:

Designated agency.

Explanation:

These form of professionals are seen to be run professional duties in several contracting agencies where they are assigned to. This can be seen in real estate, marketing firms, culinery agencies etc. But the above case discuss about brokers. And here this contracting firm is seen to a certain number of workers to a particular firm. In many cases, these agencies do these in a bid to circumvent the conflict of interest inherent in dual agency.

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The cob Douglas production function is given by Q(K,L)=AK^1.4*L^1.6

Alexeev081 [22]

Part a) The Cob Douglas production function is given as:

$Q(K,L)=AK^{1.4} L^ {1.6 } .$

To show that this function is homogeneous with degree 3, we introduce be a parameter, t.

$Q(tK,tL)=A(tK)^{1.4} (tL)^ {1.6 } .$

Using properties of exponents, we on tinder:

$Q(tK,tL)=At^{1.4}K^{1.4} t^ {1.6 }L^ {1.6 } .$

This implies that:

$Q(tK,tL)=t^{1.4} \times t^ {1.6 }(AK^{1.4} L^ {1.6 } )$

$Q(tK,tL)=t^{1.4 + 1.6}(AK^{1.4} L^ {1.6 } )$

Simplify the exponent of t to get;

$Q(tK,tL)=t^{3}(AK^{1.4} L^ {1.6 } )$

Hence the function is homogeneous with degree, 3

Part b) To verify Euler's Theorem, we must show that:

$K\frac{\partial Q}{\partial \: K}+L\frac{\partial Q}{\partial \: L}=3AK^{1.4}L^{1.6}$

Verifying from the left:

$K\frac{\partial Q}{\partial \: K}+L\frac{\partial Q}{\partial \: L} =K(1.4AK^{0.4} L^{1.6}) + L(1.6AK^{1.4} L^{0.6})$

$K\frac{\partial Q}{\partial \: K}+L\frac{\partial Q}{\partial \: L} =1.4(AK^{1.4} L^{1.6}) + 1.6(AK^{1.4} L^{1.6})$

$K\frac{\partial Q}{\partial \: K}+L\frac{\partial Q}{\partial \: L} =(1.4 + 1.6)(AK^{1.4} L^{1.6})$

$K\frac{\partial Q}{\partial \: K}+L\frac{\partial Q}{\partial \: L} =3(AK^{1.4} L^{1.6})$

Q•E•D

8 0

2 years ago

An investor purchases a 12-year, $1,000 par value bond that pays semiannual interest of $40. If the semiannual market rate of in

marysya [2.9K]

Answer:

Value of the bond = $862.013

Explanation:

The value of the bond is the present value of the future cash receipts expected from the bond. The value is equal to present values of interest payment and the redemption value (RV).

Value of Bond = PV of interest + PV of RV

The value of the bond can be worked out as follows:

Step 1

Calculate the PV of Interest payment

Present value of the interest payment

PV = Interest payment × (1- (1+r)^(-n))/r

Interest payment = $40

PV = 40 × (1 - (1.05)^(-12×2)/0.05)

= 40 × 13.7986

= 551.945

Step 2

PV of redemption Value

PV of RV = RV × (1+r)^(-n)

= 1000 × (1.05)^(-12×2)

= 310.067

Step 3

Calculate Value of the bond

= 551.94567 + 310.067

=862.01

Value of the bond = $862.013

3 0

2 years ago

You're a hardcore gamer, and you want to build the ultimate video game e-commerce site. You can think of a number of special fea

dlinn [17]

Answer:D

Explanation:

Inviting customers to write product review and recommendations

5 0

2 years ago

The striking dock workers on the west coast refused to unload the ships carrying merchandise for retail stores. These stores suf

son4ous [18]

Answer:

indirect loss, cannot be

Explanation:

Indirect losses refers to a type of loss that incurred outside of circumstances that usually occur in normal operation. (such as loss because the government created a certain type of law or loss because people are conducting strikes on other areas of our business)

Insurance companies can't cover Indirect losses because these costs tend to be really unpredictable and extremely hard to be measured . They will specify that they wouldn't cover these types of loss during the initial cotnract.

4 0

3 years ago

A company recently announced that it would be going public. The usual suspects, Morgan Stanley, JPMorgan Chase, and Goldman Sach

Deffense [45]

Answer:

$42.5 billion

Explanation:

the expected value formula = ∑ (valueₙ x probabilityₙ)

expected value = (low value x probability of low value) + (most likely value x probability of most likely value) + (high value x probability of high value)

= ($5 billion x 20%) + ($45 billion x 70%) + ($100 billion x 10%) = $1 billion + $31.5 billion + $10 billion = $42.5 billion

8 0

2 years ago