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Frank H. Knight treated profit as a residual return to uncertainly profit. Obviously knight made a distinction between risk and uncertainly he divided risk into calculable and non-calculable risks. Calculable risks are those whose probability of occurrence can be statistically estimated on the basis of the available data. For example risk due to the fire, theft accidents etc, are calculable and such risks are insurable. There remains however an area of the risk in which the probability of the risk occurrences cannot be calculated. For instance, there may be a certain element of cost which may not be accurately calculable and the strategies of the competitors may not be precisely assessable. The risk elements of such incalculable events are not insurable. The area of the incalculable risk is the area of the uncertainty. It is in the area of uncertainty that business decision making becomes a crucial function of an entrepreneur. If his decisions are proved right by the subsequent events, the entrepreneur makes profit and vice versa. Thus according to the knight profit arises from the decision taken and implemented under the condition of the uncertainty. In his view the profit may arise as a result of decisions concerning k the state of market, decisions which result in the increasing the degree of the monopoly decisions with respect to holding stocks that holding stocks that give rise to windfall gains, and decision taken to introduce new techniques or innovations.
business decision making concepts of certainity risk unertainity sources of business risk steps invoived in analysiis of risky decisions risk adjustment etc
Labor demand for low-skilled workers in the United States is w= 24 -0.1E where E is the number of workers (in millions) and w is the hourly wage. There are 120 million domestic U.S
1. What does a MNC have to consider that a domestic company does not, and how does this impact capital budgeting? in addition to the complications encountered in doing a capital bu
types of elasticity
Number 1 work: Week 4 Discussion - Empirical Demand Function and Forecasting The empirical demand function can be used in conjunction with historical data to predict pricing and
Price elasticity of demand The price elasticity of demand is defined as the degree of sensitiveness or responsiveness of demand for a commodity to the changes in its price. Mo
Calculate point elasticity of demand for demand function Q=10-2p for decrease in price from Rs 3 to Rs 2
what are the examples of the types of elasticity (price,income & cross elaticity
Assignment
Plot the demand schedule and draw the demand curve for the data given for Marijuana in the case.
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