In time series forecasting using ARIMA models, the choice of training data duration significantly impacts forecast accuracy, as demonstrated by the Exxon Mobil (XOM) stock forecast where a 12-month training dataset produced forecasts 34 points behind those from a 6-month training dataset, with maximum gap metrics showing 178 and Friday percentage at 21%.
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Exxon Mobil (June Forecast, ARIMA, Prophet, ETS) #XOM #stockmarket #stockforecast #tradingAjouté :
Hey, welcome back to uh the second video this evening on what's what's on Blue Chip Friday night. What's our What is our stock this evening again? Exxon Mobil stock symbol. What's What's that stock symbol? XOM. That's absolutely correct. Before we get started, standard disclaimer does apply.
Uh this video is intended for educational purposes only. It is not intended as financial investment or trading advice. That goes doubly for our forecast, okay?
So, let's take a look at our quick stats here, our benchmarks. And you can see that ARIMA came out slightly ahead.
Slightly ahead. It was a little closer to zero net.
Go over Go over here like so.
And you can see again ARIMA is a little bit of separation between that and the other two benchmarks. Now, let's look at our first forecast using 6 months training data.
Well, now this is this is kind of interesting.
Okay.
All right.
So, let's let's take a 12 months training data.
Training data forecast starts 6 1.
Forecast starts 6 1. Okay, good.
And this is this may be a little more reasonable. Okay, a little more reasonable.
Topping out about 160. Okay, what about the uh comparison table?
You can see that the 12 months 6 months data uh finished uh or 12 months data finished 34 points behind uh the uh 6 months data, okay?
Comparison.
Holy smoke. That's a little crazy, isn't it? Uh let's look at the disagreement dashboard.
Mhm. All right.
Few metrics here.
Let's see higher from the final day 6 months data, maximum gap 178. Uh Friday percentage, 21%. Okay, so there you have your forecast for a for Exxon Mobil for this Friday evening, May the 29th.
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