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3 years ago

How do stocks and bonds differ?

Business

1 answer:

SIZIF [17.4K]3 years ago

6 0

Answer:

The most suitable answer is Stocks may help you protect your money from inflation while bonds may be more susceptible to losing their value over time due to inflation.

Explanation:

Now remember, this is not "guaranteed" as stocks come with higher risks comparing to bonds, yet in US share market, stocks have performed well than the bonds overall. This is because stock prices fluctuate and if the company invested in is performing well, the share prices can sky rocket over a long period while in bonds you don't see this often as they are issued for a specific time and represents the debt capital.

You might be interested in

Sean is a monopolist who operates a business rigging tablets to run twice as fast as the original specifications. If sean charge

pochemuha

The answer is $7 because Marginal revenue is the change in total revenue from 10 customers ($400) to 11 customers ($407) How a monopolist maximizes profits

How does a monopolist determine its profit-maximizing level of output How does it determine the price that it charges?

The monopolist will select the profit-maximizing level of output where

MR = MC

and then charge the price for that quantity of output as determined by the market demand curve. If that price is above average cost, the monopolist earns positive profits.

How a monopolist maximizes profits

 Because Chuck, a sole commercial airplane operator in small isolated town, has no competition, he has complete control of market price of air travel in his small tone

 Reduced price → increase in ticket sales

 Monopoly maximizes profit by choosing an amount of profit in which marginal revenue equals marginal cost (MR= MC) Since Chuck must reduce his price to sell more units, he has an incentive to sell a smaller quantity than a perfective competitive company

Learn more about Marginal revenue :

brainly.com/question/10822075

#SPJ4

3 0

2 years ago

They were totally excited to be getting a new system. It would allow them to conduct a remote discussion of the budget with the

slamgirl [31]

Answer:

The correct answer is letter "C": They were excited about the video conference system.

Explanation:

In order to make sentences more professional and direct, they must be objective. It implies any point of view, perspective, comment, or any subjective piece of information should be deleted so the statement is unbiased. By doing this, we avoid exaggerations or misunderstandings from the author.

In the sentence:

They were totally excited to be getting a new system.

We should delete "totally" which is an individual perception of the author. Then:

They were excited about the video conference system.

Will be a more objective sentence.

7 0

3 years ago

What is an example of a flame?

nasty-shy [4]

Answer:

Fire

Explanation:

Class A fires are defined as ordinary combustibles. These types are fires use commonly flammable material as their fuel source. Wood, fabric, paper, trash ,and plastics are common sources of Class A fires. ... Trash fires are one such example.

4 0

3 years ago

Read 2 more answers

Lucas Diving Supplies Company, in its first year of business, had labor costs of $66,000, overhead costs of $98,000, materials p

bazaltina [42]

Answer:

the cost of goods manufactured is $183,000

Explanation:

The computation of the cost of goods manufactured is shown below:

Cost of goods manufactured = Labor cost + direct material purchased + overhead cost - ending balance of material - ending balance of work in process

= $66,000 + $22,000 + $98,000 - $1,000 - $2,000

= $183,000

Hence, the cost of goods manufactured is $183,000

6 0

3 years ago

Consider the following linear program: Min s.t. 8X + 12Y 1X + 3Y >= 9 2X + 2Y >= 10 6X + 2Y >= 18 A, B >= 0 a. Use t

mihalych1998 [28]

Answer: Graph of (A) (B) and {D) are attached accordingly.

Explanation:

The critical region of the constraints can be seen in the following diagram -

(0,9) (0,5) (0,3) (0,0) (3,0) (5,0) (9,0) The feasible region is shown in white

The intersection points are found by using these equations -

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 48

(9,0) x+3y = 9; y = 0 72

(2,3) 2x+2y = 10; 6x+2y = 18 52

(0,9) 6x+2y = 18; x = 0 108

So, we can see the minimum value of the objective function occurs at point (3,2) and the minimum value of the objective function is = 48.

------------------------------------------------------------------------------------------------------------------------------------------------------------------

When we change the coefficients of the variables in the objective function, the optimal solution may or may not change as the weights (coefficient) are different for each constraints for both the variabls. So, it all depends on the coefficient of the variables in the constraints.

In this case, the optimal solution does not change on changing the coefficient of X from 8 to 6 in the objective function.

The critical region would remain same (as shown below) as it is defined by the constraints and not the objective function.

(0,9) (0,5) (0,3) (0,0) (3,0) (5,0) (9,0) The feasible region is shown in white

However, the optimal value of the objective function would change as shown below-

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 42

(9,0) x+3y = 9; y = 0 54

(2,3) 2x+2y = 10; 6x+2y = 18 48

(0,9) 6x+2y = 18; x = 0 108

So, we can see that the minimum value now has become 42 (which had to change obviously).

-------------------------------------------------------------------------------------------------------------------------------------------------------

Now, when we change the coefficient of the variable Y from 12 to 6, again the critical region would remain same as earlier. But in this case, the optimal solution changes as shown below -

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 36

(9,0) x+3y = 9; y = 0 72

(2,3) 2x+2y = 10; 6x+2y = 18 34

(0,9) 6x+2y = 18; x = 0 54

We can see that the minimum value now occurs at (2,3) which is 34, so both the optimal solution and optimal value have changed in this case.

----------------------------------------------------------------------------------------------------------------------------------------------------------

When we limit the range of the variables as -

4 \leq X \leq 8 \:\: and\:\: 12\leq Y \leq 24,

the critical region now becomes -

So, the new critical points are (4,12), (4,24), (8,24) and (8,12).

So, the values of the objective function at these points can be calculated as -

Vertex Value of Objective

(4,12) 8*4+12*12 = 176

(4,24) 8*4+12*24 = 320

(8,24) 8*8+12*24 = 352

(8,12) 8*8+12*12 = 208

So, the new optimal solution is (4,12) and the optimal value is 176.

if we knew the range of the variables in the part B and C earlier, we could have just said that the optimal solution will not change as the value would have been no longer depended on the coefficients of variables in the constraints.

7 0

3 years ago