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 B...Jan0.11Jan14Feb0.20Feb11Mar0.03Mar6AprMayApr1.20May0.50Jun0.03Jun12Jul0.10Jul16Aug011Aug14Sep0.56SepOct0.78OctNov0 44NovDec0.10DecWhat is the MAPE for Stock B?276AB.62%3.979999

Answered: Image /qna-images/answer/c54e3abb-a314-415f-995c-b792a91537c2.jpg

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

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A police station had to deploy police officers for emergencies multiple times the lastfour evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, andThursday were 7, 4, 8, and 11, respectively. What would be the station’s forecast forFriday using an exponential smoothing forecasting approach? Use α = 0.3 and aforecast for Monday of 9.
Stock A has an expected annual return of 18% and a volatility of 34%. Stock B has an expected annual return of 12% and a volatility of 28%. The correlation of the returns of the two stocks is equal to 0.4. Find the expected return of the efficient portfolio with a volatility of 29%. solve on paper please
Perdisco Limited has shared their annual sales revenue over the last 6 financial years from 2010 to 2015. Year Sales ($ 000) 2010 4500 2011 5100 2012 4900 2013 5400 2014 5670 2015 6000 Using linear trend equation forecast the sales revenue of Perdisco Limited for 2016. Calculate the forecasted sales difference if you use 3-period weighted moving average designed with the following weights: 2013 (0.1), 2014 (0.3) and 2015(0.6). Please answer this question. this is not graded question. this is from book which is provided by my teacher for understanding concepts. Please solve this as i have finding difficulty in solving.
Make sure to do the rounding and double check the answers please.
The following table gives the average monthly exchange rate between the U.S. dollar and the euro for 2009. It shows that 1 euro was equivalent to 1.289 U.S. dollars in January 2009. Develop a trend line that could be used to predict the exchange rate for 2010. Use this model to predict the exchange rate for January 2010 and February 2010. MONTH ______________________ EXCHANGE RATE January ....................................... 1.289 February ...................................... 1.324 March ......................................... 1.321 April .......................................... 1.317 May ........................................... 1.280 June ........................................... 1.254 July ........................................... 1.230 August ....................................... 1.240 September ................................... 1.287 October ..................................... 1.298 November .................................. 1.283 December…
A scatterplot with no linear trend will have an r value of zero true or false?
IV.
Twins Twins are often born after a pregnancy that lastsless than 9 months. On the next page is a graph from theJournal of the American Medical Association (JAMA)showing the rate of preterm twin births in the United States over the past 20 years. In this study, JAMA catego-rized mothers by the level of prenatal medical care they received: inadequate, adequate, or intensive.a) Describe the overall trend in preterm twin births. b) Describe any differences you see in this trend, depend-ing on the level of prenatal medical care the mother received.c) Should expectant mothers be advised to cut back onthe level of medical care they seek in the hope ofavoiding preterm births? Explain.a) Create a linear model and predict the number ofgallons that will be available in 2005.b) The exam then asked students to estimate the yearwhen leaded gasoline will first become unavailable,expecting them to use the model from part a to answerthe question. Explain why that method is incorrect.c) Create a model…
Create a 2-D line chart of Cash Sales for months 1-18. Add a trend line with a forward forecast of 3 periods to the chart. Be sure to include the R-squared value on the chart. Using =TREND(), complete the forecast table for months 19-21 1 $ 2,145,600 19 2 $ 2,175,200 20 3 $ 2,255,200 21 4 $ 2,505,600 5 $ 2,748,800 6 $ 2,358,000 7 $ 3,165,200 8 $ 3,253,600 9 $ 3,484,000 10 $ 3,731,200 11 $ 3,741,200 12 $ 3,558,800 13 $ 3,771,200 14 $ 3,787,600 15 $ 3,813,600 16 $ 3,822,800 17 $ 3,828,000 18 $ 3,897,200
At the end of Year 5, your consulting firm has been hired by a local service firm to help forecast future uncollectible accounts. You ask the service firm to provide several years of data on the percentage of uncollectible accounts based on the age categories of accounts receivable at the beginning of the year. With these historical percentages, you estimate a trend line (dashed line) to predict the percentage of uncollectible accounts for Year 6, the upcoming year. Graphs were provided to management from your analysis of each of the three age categories, as well as balances of accounts receivable by age category at the end of Year 5 as follows: Percentage of Uncollectible Accounts: 1-30 Days Past Due 8% 6% 4% 2% 0% 4% Year 1 Not Yet Past Due 2 3% 3 5% 5 6% 6 $140,000 $120,000 $100,000 $80,000 $60,000 $40,000 $20,000 8 $0 18% 16% 14% 12% 10% 16% 14% Year 1 2 3 $128,000 14% Not Yet Past Due Accounts Receivable by Age: End of Year 5 $84,000 15% 1-30 Days Past Due 6 46% 44% 42% 40% 38%…
Find out the next month after april income by using the forecasting method of the moving average method
Monthly sales have been found to follow a linear trend of y = 10 + 8x, where y is the number of items sold and x is the number of the month. Monthly deviations from the trend have been calculated and follow an additive model. In month 12, the seasonal variation is estimated to be -6. What is the forecasted number of items to be sold in month 12?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS