Answer: A. $53,300,000
Explanation:
Year 2019 balance for Investment
= Cash + Net income - amortization
Net income = Beginning retained earnings 2020 - Beginning retained earnings 2019
= 11 - 8
= 3 million
Balance 2019 = 50 + 3 - 1
= $52 million
Year 2020 balance
= Opening balance + Net income - amortization
= 52 + 1.8 - 0.5
= $53.3 million
= $53,300,000
In finance, a bond is an instrument of indebtedness of the bond issuer to the holders. The most common types of bonds include municipal bonds and corporate bonds. Bonds can be in mutual funds or can be in private investing where a person would give a loan to a company or the government.
Full question:
In some states and localities, scalping is against the law although enforcement is spotty
A. Using supply/demand analysis and words, demonstrate what a weakly enforced antiscalping law would likely do to the price of tickets.
B. Using supply/demand analysis and words, demonstrate what a strongly enforced antiscalping law would likely do to the price of tickets
Answer and Explanation:
A. For the first scenario, a weakly enforced antiscalping law would still allow the resale of tickets as it is not enforced properly. Therefore it's effect on price would remain as though there were no laws restricting scalping( scalping: price increase created by artificial shortage and bulk resale of tickets) . See the attached diagram for the supply and demand curve and price increase as a result of a weak antiscalping law
B. For the second scenario, scalping has no effect on price as antiscalping laws are strong and therefore there is no scalping. Price remains the same and does not change.
In diagram A for first scenario price increases from p1 to p2 and quantity decreases from q1 to q2 to indicate increase in price and quantity decrease for shortage respectively. This shows the effect of scalping on the market with weak antiscalping laws
In diagram B, price and quantity remain the same to show strong antiscalping laws
Answer:
219 sheets
Explanation:
D = 5000 per year,
d = daily demand = 5000/365 = 13.70 sheets
T = time between orders (review) = 14 days
L = Lead time = 10 days
σd= Standard deviation of daily demand = 5 per day
I = Current Inventory = 150 sheets Service Level
P = 95% (Probability of not stocking out) q=d(L+D)z σ T+L-1
σ T+L-1= square root (T+L)=5 square root 14+10= 24.495
From Standard normal distribution, z = 1.64 for 95% Service Level (or 5% Stock out)
q=13.70*(14+10)+1.64(24.495)-150
= 218.97 →219 sheets
<span>Family A: marginal rate 20%, average rate 10%</span><span>
Family B: marginal rate 40%, average rate 23% </span><span>
The marginal tax rate is the rate paid on the last dollar of income; this would be whatever tax bracket the family is in. The average price is the total tax divided by the total revenue. </span><span>
Family A: </span><span>
</span><span>
total income $40,000: this includes $10,000 at 0%, $20,000 at 10% (tax of $2,000), and $10,000 at 20% (tax of $2,000). The last rate paid is 20% so that is the marginal rate; the total tax paid is $4,000, divide that by $40,000 total income, that is the average rate. </span><span>
Family B: </span><span>
</span><span>
total income $100,000: this includes $10,000 at 0%, $20,000 at 10% (tax of $2,000), $20,000 at 20% (tax of $4,000), $30,000 at 30% (tax of $9,000), and $20,000 at 40% (tax of $8,000). The last rate paid is 40% so that is the marginal rate; the total tax paid is $23,000, divide that by $100,000 total income, that is the average rate.</span>