不The data in the table represent the stock price fora company at the end of each month in 2015.(a) Construct a time-series plot and comment onany trends.(b) What was the percent change in the stockprice of the company from January 2015 toDecember 2015?Date1/152/153/154/155/156/157/158/159/1510/1511/1512/15Closing Price D28.7828.9831.4535.0831.5031.8830.6631.5532.1436.1736.6337.28(a) Which of the following is a time-series plot of the data?OB.Closing PriceClosing Price40-AndreaJan Jun DecMonth25140-30-25TTTJan JunMonthDecQClosing PriceClosing Price40-251TTJan JunMonthDecJan Jun DecMonthComment on any trends. Choose the correct answerbelow.OA. The stock price generally remained the samethroughout the year.QOB. The stock price generally decreased throughoutthe year.C. There was no discernible trend in the stock pricethroughout the year.D. The stock price generally increased throughoutthe year.(b) The percent change in the stock price of the companyfrom January 2015 to December 2015 was 30 %.(Round to the nearest tenth as needed.)

Given data: Date Closing Price Jan-15 28.78 Feb-15 28.98 Mar-15 31.45 Apr-15 35.08…

Answered: ↑ The data in the table represent the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Stock Market Listed on the top of the next page in order by row are the annual high values of the Dow Jones Industrial Average for each year beginning with 1990. Find the best model and then predict the value for the year 2014 (the last year listed). Is the predicted value close to the actual value of 18,054?
Forecasting Methods: Perform Trend Series Analysis (sales projection for the year 10, 12 and 17) Make based on the sales data below:Year 1: 24,333; Year 2: 33,524; Year 3: 26,778; Year 4: 30,567; Year 5: 27,564; Year 6: 24,555; Year 7: 21,777 and Year 8: 25,669.
Table 1 displays data for money aggregates released by the Central Bank, Country A for the years 2019 - 2021. TABLE 1 2020 (Jan) $ Million 2021 (Jan) 2019 (Jan) $ Million Items $ Million Repurchase agreements Currency in circulation Demand deposits Fixed deposits with commercial banks, Islamic banks and central bank 50.8 105,091.5 344,140.6 0.0 53.5 101,254.1 326.976.9 1,130,449.7 123,007.5 412,203.8 1,158,924.1 1,120,366.7 Foreign currency deposits with commercial banks, Islamic banks and central bank Deposits placed with other banking institutions 145,887.1 155,502.5 159,817.5 9,698.1 10,556.70 2,558.7 Saving deposits with commercial banks Negotiable instruments of deposits 162,067.8 172,797.0 218,820.0 12,375.3 14,366.6 8,824.5 a) Based on the data in Table 1, answer the following questions: i) What is the value of quasi money in 2020? ii) Calculate the values of M2 for 2021
Quarterly Glass Container Demand Year 1990 1991 1992 First Qtr. 17,446. 17,748. 17,595. Second Qtr. 17,785. 19,360. 18,338. Third Qtr. 18,971. Fourth Qtr. 19140. 17,802. 19,413. 18,315. 18,083. Question: Quarterly sales (in thousands of units) of a product over the last two years have been 26, 29, 30, 27, 28, 32, 33, and 30. Plot the data and forecast for the next period using Winter's Seasonal Model. Now, assume sales for the ninth quarter turned out to be 32. Update your parameter estimates and forecast sales for period 10.
Illustration 56. Assuming that there is no trend, deseasonalise the following data relating to the cash balances of a firm for the vear , 1998 : (use multiplicative model Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec Balance (in '000 Rs.) : 150 160 196 | 256 274 204 | 208 200 204 164 | 146 238 Seasonal Index : 75 80 98 128 | 137 119 102 104 100 102 82 73
Data for a particular country on consumer debt (as a percentage of personal income) and mortgage debt (also as a percentage of personal income) for the 10 years from 2006 to 2015 are shown in the following table. Consumer Debt r = 6.72 7.07 6.97 6.69 6.19 5.58 5.15 4.95 4.74 4.59 Mortgage Debt 5.96 5.97 5.88 5.60 5.17 5.06 4.96 5.22 5.30 5.45 (a) What is the value of the correlation coefficient for this data set? (Round your answer to four decimal places.)
3. Below you are given the first four values of a monthly time series of sales. You want to predict the sales of May based the time series data. Month Time Series Value Yt January 120 February 135 March 150 April 175
It is claimed that Table 6 represents the seasonal factors obtained from a quarterly time series. Table 6 Quarter 1 2 3 4 Explain why this claim cannot be correct. Seasonal Factor -203.4 -81.6 24.1 -260.9
The following data were taken from Miller Company's balance sheet: Dec. 31, Year 2 Dec. 31, Year 1 Total liabilities $150,000 $105,000 Total stockholders' equity 75,000 60,000 a. Compute the ratio of liabilities to stockholders' equity. Round your answers to one decimal place. Liabilities toStockholders' Equity 12/31/Year 2: fill in the blank 1 12/31/Year 1: fill in the blank 2 b. Has the creditors' risk increased or decreased from December 31, Year 1, to December 31, Year 2?
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If an asset declines in value from 5,000 USD to 3,500 USD over nine years, what is the mean annual growth rate in the asset's value over these nine years? Round your answer to four decimal places and enter negative value as negative figure. Answer in percent.

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