From the following series of cyclical fluctuations find the 3-yearly, 5-yearly, 7-yearly and 9-yearly moving averages. Also give your comments thereon. 1992 1993 1994 1995 1996 1997 1998 Year : Fluctuations: 1989 1990 1991 1 -1 -2 1 - 1 - 2
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- Which of the following time series forecasting methods would not be used to forecast seasonal data?The following ratio-to-moving averages for the seasonally adjusted series were found by the decomposition method applied on a time series representing quarterly sales for January 2018 to December 2020 period: a. Calculate the Seasonal Index for every quarter. b. If the trend is described by the trend line T^ = 1,000 + 30 t, what is the forecast for the fourth quarter of 2021?The table below shows percentage changes (xi) in the Dow-Jones index over the first five trading days of each of thirteen years and also the corresponding percentage changes (yi) in another index. xi yi 1.5 14.9 0.2 -9.2 -0.1 19.6 2.8 20.3 2.2 -3.7 -1.6 27.7 -1.3 22.6 5.6 2.3 -1.4 11.9 1.4 27.0 1.5 -4.3 -4.7 20.3 1.1 4.2 1- Calculate the sample correlation and interpret. 2- Test at the 1% significance level, against a two-sided alternative, the null hypothesis that the population correlation is 0. Thanks.
- Observe the mean, the standard deviation, and the CV of the annual rate of return of the portfolio. Apple Historical Annual Stock Price Data Year Average Stock Price Year Open Year High Year Low Year Close Annual % Change 2021 135.6974 129.4100 156.6900 116.3600 148.7600 12.11% 2020 95.3468 75.0875 136.6900 56.0925 132.6900 80.75% 2019 52.0640 39.4800 73.4125 35.5475 73.4125 86.16% 2018 47.2634 43.0650 58.0175 36.7075 39.4350 -6.79% 2017 37.6378 29.0375 44.1050 29.0050 42.3075 46.11% 2016 26.1510 26.3375 29.5625 22.5850 28.9550 10.03% 2015 30.0096 27.3325 33.2500 25.7800 26.3150 -4.64% 2014 23.0661 19.7546 29.7500 17.8494 27.5950 37.72% 2013 16.8798 19.6082 20.3604 13.9475 20.0364 5.42% 2012 20.5732 14.6868 25.0750 14.6868 19.0062 31.40% 2011 13.0002 11.7704 15.0800 11.2614…The following data set provides the total number of shipments of core major household appliances in the U.S. from 2000 to 2016 (in millions): Year Shipments (millions) 2000 38.4 2001 38.2 2002 40.8 2003 42.5 2004 46.1 2005 47.0 2006 46.7 2007 44.1 2008 39.8 2009 36.5 2010 38.2 2011 36.0 2012 35.8 2013 39.2 2014 41.5 2015 42.9 2016 44.7 a. Plot the time series. b. Fit a three-year moving average to the data and plot the results. c. Fit a five-year moving average to the data and plot the results. d. Compute a linear trend forecasting equation and plot the trend line. e. Compute a quadratic trend forecasting equation and plot the results.Analyse the time series of the following supermarket sales data and present the results in graphical form, including a forecast for the daily sales in week 5. Supermarket sales (K000) for a particular period Week 1 Week 2 Week 3 Week 4 Monday 22 22 24 26 Tuesday 36 34 38 38 Wednesday 40 42 43 45 Thursday 48 49 49 50 Friday 61 58 62 64 Saturday 58 59 58 58
- Using the time series data in the table, respond to the following items. Period Sales 1 $ 615 2 676 3 761 4 710 5 784 6 801 7 852 8 698 9 1,193 10 1,115 11 1,231 12 1,259 13 1,495 14 1,229 15 1,652 16 1,337 17 1,673 18 1,613 Please show work, thanks.The following is a time series for the last 6 months of 2016 50 54 65 58 70 68 The three (3) point moving averages are:Consider the following time series data.
- Consider the following time series data: 1 2 3 4 5 6 7 26 15 22 14 21 25 17 PART 1.Compute MSE using the most recent value as the forecast for the next period and then calculate the forecast for month 8. PART 2.Compute MSE using the average of all the data available as the forecast for the next period. What is the forecast for month 8?The table below contains the average price paid for a new home in a certain area from 2000 to 2010. a. Construct a time-series plot of new home prices. b. What pattern, if any, is present in the data? Year Average_Price_($_thousands)2000 351.12001 330.52002 310.52003 296.72004 229.72005 182.32006 154.52007 156.32008 154.72009 154.52010 154.5An asset has a depreciable basis of $13,200 and qualifies as 3-year MACRS property. The MACRS percentages are: 16.67, 33.33, 33.33. and 16.67 percent for years 1 to 4, respectively. What is the year 3 ending book value?