Floor of NYSE - Spencer Platt/Getty Images

This website incorporates forecasting skills from BUA 345 - Business Analytics into a dashboard presentation format.

Last Update:

Monday, April 20, 2026

Opening Value:

255

Highest Value:

258.5

Lowest Value:

252.56

Adj. Closing Value:

253.71

  • The forecast plot shows the forecasted International Business Machines Corporation stock prices for the next 12 months.

  • The plot also shows the 80% prediction interval in dark purple and the 95% prediction interval in light purple.

  • The numeric values for these forecasted values and prediction intervals are shown in the next tab.

The table below shows the forecast values and 80% and 95% prediction intervals for the 12 requested forecasts for the International Business Machines Corporation stock.

Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
May 2026 254.7822 241.3649 268.1994 234.2623 275.3021
Jun 2026 256.9258 239.8798 273.9718 230.8562 282.9954
Jul 2026 257.8705 238.6401 277.1008 228.4601 287.2808
Aug 2026 258.8151 237.6243 280.0058 226.4066 291.2236
Sep 2026 259.7597 236.7751 282.7443 224.6078 294.9116
Oct 2026 260.7043 236.0562 285.3525 223.0082 298.4004
Nov 2026 261.6489 235.4426 287.8553 221.5698 301.7281
Dec 2026 262.5936 234.9166 290.2705 220.2653 304.9218
Jan 2027 263.5382 234.4649 292.6115 219.0744 308.0019
Feb 2027 264.4828 234.0772 294.8884 217.9815 310.9841
Mar 2027 265.4274 233.7456 297.1093 216.9742 313.8806
Apr 2027 266.3720 233.4634 299.2807 216.0426 316.7015
  • In March of 2027, the International Business Machines Corporation stock price is forecasted to be 265 dollars.

  • The width of the 80% prediction interval for this forecast in March of 2027 is 63 dollars.
  • These three residual plots allow the analyst to examine the distribution of the residuals of the modeled time series.

  • Despite increasing volatility, our stock price model is estimated to be 94.9% accurate.

  • This doesn’t guarantee that forecasts will be 94.9% accurate but it does improve our chances of accurate forecasting.


This dashboard was created using Quarto in RStudio, and the R Language and Environment.

The dataset used to create this dashboard was downloaded from Yahoo Finance.

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