A stock technical analyst uses smoothing methods to predict stock prices. The following table contains the monthly price information for Walmart.
Date | Price |
11/30/2018 | 95.62 |
12/31/2018 | 91.71 |
1/31/2019 | 94.35 |
2/28/2019 | 97.46 |
3/29/2019 | 96.54 |
4/30/2019 | 101.80 |
5/31/2019 | 100.94 |
6/28/2019 | 109.95 |
7/31/2019 | 109.84 |
8/30/2019 | 114.26 |
9/30/2019 | 118.68 |
10/31/2019 | 117.26 |
What is the predicted share price for August 30, 2019 if this technical analyst uses an exponential smoothing method with a smoothing constant of .7 and a 5-month moving average as the initial forecast share price for April 30, 2019?
Exponential smoothing method is given by the following formula:
S0 = X0,
In our case, initial forecast share price for April 30, 2019 is assumed as 5 month moving average i.e. average of last 5 months prices.
Hence forecasted share price for April will be SApril = 0.7*101.8 + (1-0.7) * (95.62 + 91.71 + + 94.35 + 97.46 + 96.54)/5 = 99.8008
Now use this forecasted price to calculate the next months price as follows"
SMay = 0.7*XMay+ (1-0.7) * SApril
SMay = 0.7*100.94+ (1-0.7) * 99.8008 = 100.59824
SJune = 0.7*XJune+ (1-0.7) * SMay
SJune = 0.7*109.95+ (1-0.7) * 100.59824= 107.144472
SJuly = 0.7*XJuly+ (1-0.7) * SJune
SJuly = 0.7*109.84+ (1-0.7) * 107.144472= 109.0313416
SAug = 0.7*XAug+ (1-0.7) * SJuly
SAug = 0.7*114.26+ (1-0.7) * 109.0313416= 112.6914025
Answer: Predicted share price for August 30, 2019 is $112.6914025
A stock technical analyst uses smoothing methods to predict stock prices. The following table contains the...
A stock technical analyst uses smoothing methods to predict stock prices. The following table contains the monthly price information for Walmart. Date Price 11/30/2018 95.62 12/31/2018 91.71 1/31/2019 94.35 2/28/2019 97.46 3/29/2019 96.54 4/30/2019 101.80 5/31/2019 100.94 6/28/2019 109.95 7/31/2019 109.84 8/30/2019 114.26 9/30/2019 118.68 10/31/2019 117.26 What is the predicted share price for August 30, 2019 if this technical analyst uses an exponential smoothing method with a smoothing constant of .7 and a 5-month moving average as the initial...
A stock technical analyst uses smoothing methods to predict stock prices. The following table contains the monthly price information for Walmart. Date Price 11/30/2018 95.62 12/31/2018 91.71 1/31/2019 94.35 2/28/2019 97.46 3/29/2019 96.54 4/30/2019 101.80 5/31/2019 100.94 6/28/2019 109.95 7/31/2019 109.84 8/30/2019 114.26 9/30/2019 118.68 10/31/2019 117.26 What is the predicted share price for October 31, 2019 if this technical analyst uses a 5-month moving average method?
A stock technical analyst uses smoothing methods to predict stock prices. The following table contains the monthly price information for Walmart. Date Price 11/30/2018 95.62 12/31/2018 91.71 1/31/2019 94.35 2/28/2019 97.46 3/29/2019 96.54 4/30/2019 101.80 5/31/2019 100.94 6/28/2019 109.95 7/31/2019 109.84 8/30/2019 114.26 9/30/2019 118.68 10/31/2019 117.26 What is the predicted share price for October 31, 2019 if this technical analyst uses a 5-month moving average method? A. $107.36 B. $114.00 C. $110.73 D. $109.24
Sandhill Inc. is publicly traded and uses a calendar year for financial reporting. The company is authorized to issue 50 million common shares. At no time has Sandhill issued any potentially dilutive securities. The following is a summary of Sandhill’s common share activities:Number of common shares issued and outstanding at December 31, 20186,180,000Shares issued as a result of a 10% stock dividend on September 30, 2019618,000Shares issued for cash on March 31, 20202,720,000Number of common shares issued and outstanding at December 31, 20209,518,000Sandhill issued its 2020 financial statements...
6.Use Exponential smoothing forecasts with alpha of 0.1, 0.2, ..., 0.9 to predict March 2019 demand. Identify the value of alpha that results in the lowest MAD. 7.Find the monthly seasonal indices for the demand values using Simple Average (SA) method. Find the de-seasonalized demand values by dividing monthly demand by corresponding seasonal indices. 8.Use regression to perform trend analysis on the de-seasonalized demand values. Is trend analysis suitable for this data? Find MAD and explain the Excel Regression output...
From the following monthly stock prices assume rf of 0.5% per month and calculate 1.Monthly growth return 2.CAPM and beta 3.Average return 4.Variance 5.Covariance 6. Assume a credit rating and calculate a VAT assuming debt to equity structure 1 date share price benchmark 2 Mar 18 3 Feb-18 4 Jan-18 5 Dec-17 6 Nov-17 7 Oct-17 8 Sep-17 304.85 24,263.35 322.3 25,107.40 354.4 27,379.45 315.15 25,539.45 306.9 25,332.40 314.25 25,019.35 350 24.053.00 350.61 24,318.40 361.9 25,103.65 292.7 23,211.20 286.27 23,424.80...
Can you do the year-end adjusting entries for the following: 1) Recognize rent revenue for the year. 2) Depreciation expense for the year is 2,556,000. 3) Recognize the expiration of the prepaid insurance policy. 4) Recognize the interest earned on the note receivable issued. 5) Record bad debt expense for the year, assuming uses 2% of accounts receivable to estimate their uncollectible accounts. 6) Amortization Expense for the year is 3,000. Using this information: Transaction No. Transaction A January 1:...