q48 Let's say you are playing the stock market and below period 2020 data was provided. For "stock A" you use a 2 month movingaverage. For "stock B" you use exponential smoothing with (a = 0.3).Stock AStock BJan0.11Jan14Feb0.20Feb11Mar0.03MarAprMay1.20Apr60.50May9.Jun0.03Jun12Jul0.10Jul16AugSep0.11Aug140.56SepOct0.78OctNov0.44Nov4Dec0.10Dec4What is the MAPE for Stock B?А99%в) 3.97%62%27%

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Answered: Let's say you are playing the stock…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A pizza chain has had sales for take-out food over the last four evenings—Monday, Tuesday, Wednesday, and Thursday—of 29, 25, 35, and 30 pizzas, respectively.What would be their forecast for Friday using an exponential smoothing forecastingapproach? Use α = 0.2 and a forecast for Monday of 28.
The manager of a popular tourist resort wants to use the manual trend projection forecasting technique and exponential smoothing without trend to forecast room occupancy at the resort for the next 4 years. Using numerical example, demonstrate how these techniques can be used to do the forecast.
Why is it that the exponential smoothing method offers a better forecast accuracy?
The R-squared of a regression of an asset’s excess returns against a multi-factor asset pricing model indicates the proportion of the asset’s total volatility that is non-systematic. True False
Suppose that the Perpetual Help College of Rizal had the following record of its growth of enrollment from 2011 -2020. Year Enrolment Year Enrolment 2011 5,200 2016 7,000 2012 5,500 2017 8,800 2013 6,000 2018 9,400 2014 6,500 2019 9,600 2015 6,800 2020 10,500 c) Using exponential smoothing and smoothing constant of .30 and 2011 previous forecast of 5200, develop a forecast of enrolment from 2012 to 2021. d) Forecast enrollment using Trend line Projection from 2011 to 2021. e) Evaluate forecast accuracy of each forecast model using MSE .…
For the Hawkins Company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 83, 84, 85, 84, 82, 83, 84, and 83. Compare a three-month moving average forecast with an exponential smoothing forecast for α = 0.2. Which provides the better forecasts using MSE as the measure of model accuracy? Do not round your interim computations and round your final answers to three decimal places. Movingaverage Exponentialsmoothing MSE What is the forecast for next month? If required, round your answer to two decimal places.
The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000-seat arena that is home tothe city’s professional basketball and ice hockey teams and that hosts a variety of concerts, tradeshows, and conventions throughout the year. The hotel has experienced the following occupancyrates for the past 9 years, since the coliseum opened:Year Occupancy Rate (%)1 832 783 754 815 866 857 898 909 86 Compute an exponential smoothing forecast with a = .20, an adjusted exponential smoothingforecast with a = .20 and B=30 and a linear trend line forecast. Compare the three forecasts,using MAD and average error ( ), and indicate which seems to be most accurate.
Ten years ago, the town of Easton decided to increase its annual spending on education so that its high school graduates would be able to earn higher wages. Now Easton has asked you to evaluate the effectiveness of the spending increase. Their data show that before the spending increase, the average annual salary of recent high school graduates was $25,000 and that now that average salary has risen to $28,500. Fortunately for your analysis, a neighboring community (Allentown) did not change its annual spending on education. Ten years ago, recent Allentown high school graduates earned an average of $22,500, and now that average is $23,750. (b) What underlying assumption do you have to make in order for your estimate to be valid? What might cause your underlying assumption to be invalid?
Ten years ago, the town of Easton decided to increase its annual spending on education so that its high school graduates would be able to earn higher wages. Now Easton has asked you to evaluate the effectiveness of the spending increase. Their data show that before the spending increase, the average annual salary of recent high school graduates was $25,000 and that now that average salary has risen to $28,500. Fortunately for your analysis, a neighboring community (Allentown) did not change its annual spending on education. Ten years ago, recent Allentown high school graduates earned an average of $22,500, and now that average is $23,750. (a) Use a difference-in-differences estimator to determine whether Easton’s spending increase caused the wages of their high school graduates to increase. please provide an accurate answer.
What kind of effects are reported in the tables for Tobit (are these marginal effects or not?). Explain if marginal and if not marginal why?
With the gasoline time series data from table 17.1, show the exponential smoothing forecasts using a = .1.a. applying the MSe measure of forecast accuracy, would you prefer a smoothing constant of a = .1 or a = .2 for the gasoline sales time series?b. are the results the same if you apply Mae as the measure of accuracy?c. What are the results if Mape is used?
Over the past 14 months,the monthly percentages of all shipments received on time are Monthy Proportion of On Tme Shipments 72 81 78 90 83 85 90 82 89 81 85 84 78 88 What is MSE using exponential smoothing forecast for α=0.3? (keep 2 decimal points)

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