True, Compared to the other main forecasting techniques, market-based forecasting of exchange rates has proven to be more reliable and consistent.
What is Market-based forecasting?
By utilising a wide range of data that describe the nature of demand within the organization's service area, market-based demand forecasting is a technique for estimating future demand for a healthcare organization's services. The primary and secondary service areas, population breakdowns by various demographic categories, discharge utilisation rates, market size, and market share by service line and overall are just a few examples of the information we're talking about. Strategic planners can develop scenarios describing potential future demand based on observable market dynamics and a variety of explicit assumptions about future trends. Then, financial planners can assess every scenario to see how it might affect particular financial and operational metrics, like operating margin, days with cash on hand, as well as debt-service coverage, and create a strategic financial plan that accounts for a variety of contingencies.
To learn more about Market-based forecasting
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Answer:
Finch has an interest expense deduction of the amount of $6,300.
Explanation:
Based on the information given in a situation where Finch pays George interest of the amount of $6,300 in which the amount of $7,000 was the principal payment on the note which means that Finch will have an interest expense deduction of the amount of $6,300 reason been that the amount of interest that was paid to George which is $6,300 will be the amount that is allowed for deduction.
Answer:
b. decrease by $1,000
Explanation:
There is an option below the question ask for details
For computing the profit or loss, first we have to determine the variable cost per unit which is shown below:
= Total variable cost ÷ Number of cases sold
= $144,000 ÷ 9,000 cases
= $16 per cases
The total variable cost would be
= $126,000 + $18,000
= $144,000
And, profit per case is $15
So, the loss per case would be
= $15 per case - $16 per case
= -$1 per case
So, the total loss would be
= 1,000 cases × $1
= $1,000 decrease
