Facebook stock (NASDAQ: FB) reached an all-time high of almost $305 less than a month ago before a larger sell-off in the technology industry drove the stock price down nearly 20% to its current level of around $250. But will the company’s stock continue its downward trajectory over the coming weeks, or is a recovery in the stock imminent?
According to the Trefis Machine Learning Engine, which identifies trends in the company’s stock price data since its IPO in May 2012, returns for Facebook stock average a little over 3% in the next one-month (21 trading days) period after experiencing a 20% drop over the previous month (21 trading days). Notably, though, the stock is very likely to underperform the S&P500 over the next month (21 trading days), with an expected excess return of -3% compared to the S&P500.
But how would these numbers change if you are interested in holding Facebook stock for a shorter or a longer time period? You can test the answer and many other combinations on the Trefis Machine Learning Engine to test Facebook stock chances of a rise after a fall. You can test the chance of recovery over different time intervals of a quarter, month, or even just 1 day!
MACHINE LEARNING ENGINE – try it yourself:
IF FB stock moved by -5% over 5 trading days, THEN over the next 21 trading days, FB stock moves an average of 3.2 percent, which implies an excess return of 1.7 percent compared to the S&P500.
More importantly, there is 62% probability of a positive return over the next 21 trading days and 53.8% probability of a positive excess return after a -5% change over 5 trading days.
Some Fun Scenarios, FAQs & Making Sense of Facebook Stock Movements:
Question 1: Is the average return for Facebook stock higher after a drop?Answer:
Consider two situations,
Case 1: Facebook stock drops by -5% or more in a week
Case 2: Facebook stock rises by 5% or more in a week
Is the average return for Facebook stock higher over the subsequent month after Case 1 or Case 2?
FB stock fares better after Case 2, with an average return of 2.4% over the next month (21 trading days) under Case 1 (where the stock has just suffered a 5% loss over the previous week), versus, an average return of 5.3% for Case 2.
In comparison, the S&P 500 has an average return of 3.1% over the next 21 trading days under Case 1, and an average return of just 0.5% for Case 2 as detailed in our dashboard that details the average return for the S&P 500 after a fall or rise.
Try the Trefis machine learning engine above to see for yourself how Facebook stock is likely to behave after any specific gain or loss over a period.
Question 2: Does patience pay?
If you buy and hold Facebook stock, the expectation is over time the near term fluctuations will cancel out, and the long-term positive trend will favor you – at least if the company is otherwise strong.
Overall, according to data and Trefis machine learning engine’s calculations, patience absolutely pays for most stocks!
For FB stock, the returns over the next N days after a -5% change over the last 5 trading days is detailed in the table below, along with the returns for the S&P500:
Question 3: What about the average return after a rise if you wait for a while?
The average return after a rise is understandably lower than a fall as detailed in the previous question. Interestingly, though, if a stock has gained over the last few days, you would do better to avoid short-term bets for most stocks – although FB stock appears to be an exception to this general observation.
FB’s returns over the next N days after a 5% change over the last 5 trading days is detailed in the table below, along with returns for the S&P 500.
It’s pretty powerful to test the trend for yourself for Facebook stock by changing the inputs in the charts above.
What if you’re looking for a more balanced portfolio? Here’s a high quality portfolio to beat the market with over 100% return since 2016, versus 55% for the S&P 500. Comprised of companies with strong revenue growth, healthy profits, lots of cash, and low risk, it has outperformed the broader market year after year consistently
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