What is a hockey stick forecast, what are the issues related to this, and can you provide a clear example of how analysis based on this type of forecast led to the wrong conclusion
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- Does the MM theory appear to be correct according to either empirical research or observations offirms’ actual behavior? How do assumptions affectyour conclusion about whether the MM theoryappears to be correct?Within our forecasting model we do not make "forecasting assumptions", but rather we make "forecasting parameter choices." Briefly, but concisely, describe the difference between "forecasting assumptions" and "forecasting parameter choices."What role does MAD play in evaluating a forecasting model?
- Using a wrong formula for CAPM is a __ (select one) a. Erronous model risk b. Market data processing risk c. Incorrect calibration risk d. Incorrect implementation riskForecasting that uses subjective analysis of subjective inputs is called O Judgmental forecast C Associative Models O Time Series O Hypothesis Testing O Descriptive StatisticsWhat do you mean by null hypothesis, how to test the hypothesis give the best examples?
- George wants to calculate risk using risk assessment matrix ,should he assess for the worst credible case Explain in few wordsWhich of the following is NOT true about simulation models? Option- a. Simulations can be used to analyze processes that cannot be evaluated well analytically. b. A simulation model is used to get estimates; an analytical model provides detailed analysis. c. Simulations can use actual probability rates for both demand and service rates. d. Analytical and simulation models are often used in combination.6. Which of the following is NOT an advantage of using sensitivity analysis? A It identifies the impact a change in an estimate would have on the result B It gives an idea of the worst possible outcome C It shows where further investigation might be useful D It provides useful information for decision making
- For ethical reasons, researchers can begin analyzing data prior to establishing the p-value criteria to be used in determining whether to accept or reject their null hypothesis. True FalseWhich of the following would not result in exposure to nonsampling risk?a. Measuring the characteristic of interest in an inappropriate manner.b. Selecting items that are not representative of the population of interest.c. Making an unintentional mistake in measuring the characteristic of interest.d. All of the above would result in exposure to nonsampling risk.What detail would a decision maker require to analyse a dilemma with the expected value? What choices are open if the probabilities of the natural states are uncertain to the decision-maker? Can you ask about how in such a situation you might use sensitivity analysis?