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AlekseyPX
2 years ago
10

Trend analysis is analysis

Business
2 answers:
Rama09 [41]2 years ago
4 0

Answer:

Trend analysis is analysisof dollar changes and percentage changes over several years.

Explanation:

A trend analysis is a method of analysis that allows traders to predict what will happen with a stock in the future.

Semenov [28]2 years ago
4 0

It’s ( of dollar changes and percentage changes over several years. )

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A finance lease agreement calls for quarterly lease payments of $4,625 over a 15-year lease term, with the first payment on July
love history [14]

Answer:

The Lease amortization schedule is attached in pdf format with this answer please find.

Explanation:

Lease payments, includes the payment of interest and principal as well. The interest is calculated for the period opening balance of lease and the residual amount of lease payment and interest is settled against the lease amount.

Download pdf
3 0
3 years ago
An investor purchases 1,000 mutual fund shares with a Net Asset Value of $10 each, where the fund imposes a 5% contingent deferr
Ad libitum [116K]

Answer:

B. $9,600

Explanation:

Calculation to determine the amount he or she will receive

Amount Received=(1000*$10)*[100%-( 5% contingent deferred -1%Decrease in sales charge)

Amount Received=$10000-(100%-4%)

Amount Received=$10000*96%

Amount Received=$9,600

Therefore he or she will receive $9600

4 0
3 years ago
Using the logic of the two-sided search model, compare the impact on the economy of government spending on education and apprent
Inga [223]

Answer:

Recent changes in American public assistance programs have emphasized the role of work. Employer subsidies such as the Work Opportunity Tax Credit (WOTC) and the Welfare-to-Work Tax Credit (WtW) are designed to encourage employment by reimbursing employers for a portion of wages paid to certain welfare and food stamp recipients, among other groups. a simple dynamic search model of employment subsidies was developed and then test the model’s implications for the

employment outcomes of WOTC- and WtW-subsidized workers. The model predicts that subsidized workers will have higher rates of employment and higher wages than equally productive unsubsidized workers, and it highlights some possible effects of the subsidy on job tenure. predictions was tested using a unique administrative data set from the state of Wisconsin. These data provide information on demographic characteristics, employment histories, and WOTC and WtW participation for all welfare and food stamp recipients in the state for the years 1998 -2001. from those of eligibility.

The employment, wage, and job tenure effects of the WOTC and WtW using propensity score was estimated.

The estimation the effects of the Work Opportunity Tax Credit (WOTC) and the Welfare to Work Tax Credit (WtW) on employment outcomes of disadvantaged workers. These credits offer

subsidies to firms that hire individuals who may otherwise have difficulty finding jobs, such as certain welfare recipients, disadvantaged youth, and disabled individuals. Past work on previous employer-based credits found weak or even nonexistent employment effects, which resulted in the elimination of these

subsidies. The WOTC has been reauthorized four times since its implementation in 1996, and the WtW three times since its implementation in 1998, yet no study has carefully examined their effectiveness.

An analytical model of the WOTC and WtW were developed that allows workers from the same population to be paid different wages based on their value to the particular firms in which they are

employed. I also incorporate a binding minimum wage, which results in some long-term unemployment.

Finally, wages and employment status to change over time as employers learn about workers’ productivity in their firm. This dynamic element is essential to the model, since predictions about wage trajectories and job tenure cannot be made based on a static model. For example, concerns that

disadvantaged workers will end up in short-term, low-paying jobs cannot be addressed analytically without a model that allows changes in employment status over time. This gradual learning treats job matches as “experience goods” whose value cannot be determined ex ante.

Flinn (2003) introduces a minimum wage and investigates its effects on labor market outcomes and welfare in a search framework. Flinn incorporates the possibility of wage bargaining, and analyzes the effects of the minimum wage under different levels of worker bargaining power. Adding bargaining power to the model allows him to relax Jovanovic’s assumption that workers are always paid their (expected) marginal products; this is an important consideration if firms in certain markets are able to extract some rents from workers and pay wages closer to the reservation wage.

However, Flinn’s mode assumes that there is no uncertainty about productivity, even at the time of hire. In the context of the low wage labor market, in which employers might perceive some risks of hiring inexperienced workers, this assumption is restrictive. I therefore develop a model that maintains the bargaining and minimum wage

aspects of Flinn’s model but incorporates a simple form of uncertainty based on Jovanovic (1979), allowing job matches to be characterized as experience goods. This hybrid model is extended to include wage subsidies for a particular subset of workers.

7 0
3 years ago
A company has sales of $752,800 and cost of goods sold of $301,800. its gross profit equals:
Elena-2011 [213]
Revenue = $752,800
Cost of goods sold = $301,800

To solve for the gross profit:
Gross profit = revenue - cost of goods sold
Gross profit = $752,800 - $301,800
Gross profit = $451,000

The gross profit shows the profits a company has after taking their costs to make the product and subtract them from the sales they had. 
7 0
3 years ago
A certain bookstore chain has two stores, one in San Francisco and one in Los Angeles. It stocks three kinds of books: hardcover
Hoochie [10]

Answer:

                           Hard       Soft        Plastic

San Francisco 3,600           7,800       12,000  

Los Angeles  2,400            1,800        3,000

Explanation:

The sales during January were as follows:

                          Hard      Soft          Plastic

San Francisco 600              1,300           2,000  

Los Angeles  400                300              500

If the sales during the next five months were actually the same, then to determine total sales all we have to do is multiply January's sales by 6.

600 x 6 = 3,600         1,300 x 6 = 7,800         2,000 x 6 = 12,000

400 x 6 = 2,400           300 x 6 = 1,800            500 x 6 = 3,000

7 0
3 years ago
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