Define the term business forecasting briefly
Define the term business forecasting briefly.
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Business Forecasting:
A forecast of sales of based on economic forecasts. It is since the sale of almost every firm is affected through the state of general business. Era of depression and boom have an effect on the sales value. Sales might be at a raise during the prosperity although might decline throughout the depression.
The businessman must take in consideration the business cycle he is facing hence he can have an effective forecast of sales. The significant methods of forecasting are as follows: (a) Trend Projection (b) Leading Indices and (c) Econometric Models.
Illustrates the causes of business cycle?
What is pricing strategies?
In countries employing decentralized markets for nearly all decision making: (1) Private individuals select how most resources and goods are allocated. (2) Nonhuman resources should be individually owned. (3) Elaborate economic plans are planned and enforced by law. (
Differentiates between short run and long run costs?
Explain the aspects of operational or internal issues.
Assume that you require studying six hours per week to earn a ‘C’, nine hrs a week to earn a ‘B’, and 15 hrs per week to earn an ‘A’. This would mean: (i) Raising returns to hrs studied. (ii) Diminishing returns to hrs studied. (iii
While an economic change creates one person worse off without influencing anyone else, this is: (w) good for society. (x) an inefficient change. (y) neither bad nor good for society. (z) strictly a macroeconomic issue. Q : Explain the term relatively inelastic Explain the term relatively inelastic demand.
Explain the term relatively inelastic demand.
When all markets wherein a firm operates are purely competitive, in equilibrium the marginal resource cost of labor is the same to the: (w) firm’s marginal revenue. (x) marginal cost of output. (y) wage rate the firm must pay to hire more worker
The Real Kool Toys Company manufactures and sells educational toys. An empirical demand function for one of the firm's products has been estimated over the last 21 quarters using regression analysis. The estimated demand function is: QY = -8,000 - 5,000PY + 192A + 120I + 2,000PX (6,000) (1,000)
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