Coursera Stock Price Prediction
| COUR Stock | USD 8.12 0.04 0.50% |
Momentum 45
Impartial
Oversold | Overbought |
EPS Estimate Next Quarter 0.0695 | EPS Estimate Current Year 0.3695 | EPS Estimate Next Year 0.4543 | Wall Street Target Price 9.875 | EPS Estimate Current Quarter 0.0458 |
Using Coursera hype-based prediction, you can estimate the value of Coursera from the perspective of Coursera response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Coursera using Coursera's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Coursera using crowd psychology based on the activity and movement of Coursera's stock price.
Coursera Short Interest
An investor who is long Coursera may also wish to track short interest. As short interest increases, investors should be becoming more worried about Coursera and may potentially protect profits, hedge Coursera with its derivative instruments, or be ready for some potential downside.
200 Day MA 7.8909 | Short Percent 0.0719 | Short Ratio 4.61 | Shares Short Prior Month 9 M | 50 Day MA 8.4198 |
Coursera Hype to Price Pattern
Investor biases related to Coursera's public news can be used to forecast risks associated with an investment in Coursera. The trend in average sentiment can be used to explain how an investor holding Coursera can time the market purely based on public headlines and social activities around Coursera. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Coursera's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Coursera.
Coursera Implied Volatility | 0.71 |
Coursera's implied volatility exposes the market's sentiment of Coursera stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Coursera's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Coursera stock will not fluctuate a lot when Coursera's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Coursera to buy its stock at a price that has no basis in reality. In that case, they are not buying Coursera because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Coursera after-hype prediction price | USD 8.06 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Coursera contract
Based on the Rule 16, the options market is currently suggesting that Coursera will have an average daily up or down price movement of about 0.0444% per day over the life of the 2025-05-16 option contract. With Coursera trading at USD 8.12, that is roughly USD 0.003603 . If you think that the market is fully incorporating Coursera's daily price movement you should consider acquiring Coursera options at the current volatility level of 0.71%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Coursera |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Coursera's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Coursera After-Hype Price Prediction Density Analysis
As far as predicting the price of Coursera at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Coursera or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Coursera, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Coursera Estimiated After-Hype Price Volatility
In the context of predicting Coursera's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Coursera's historical news coverage. Coursera's after-hype downside and upside margins for the prediction period are 4.56 and 11.56, respectively. We have considered Coursera's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Coursera is somewhat reliable at this time. Analysis and calculation of next after-hype price of Coursera is based on 3 months time horizon.
Coursera Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Coursera is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Coursera backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Coursera, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.04 | 3.47 | 0.02 | 0.00 | 8 Events / Month | 10 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
8.12 | 8.06 | 0.25 |
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Coursera Hype Timeline
Coursera is currently traded for 8.12. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of 0.0. Coursera is anticipated to decline in value after the next headline, with the price expected to drop to 8.06. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.25%, whereas the daily expected return is currently at 0.04%. The volatility of related hype on Coursera is about 7886.36%, with the expected price after the next announcement by competition of 8.12. About 82.0% of the company shares are held by institutions such as insurance companies. The book value of Coursera was currently reported as 3.75. The company recorded a loss per share of 0.51. Coursera had not issued any dividends in recent years. Given the investment horizon of 90 days the next anticipated press release will be in about 8 days. Check out Coursera Basic Forecasting Models to cross-verify your projections.Coursera Related Hype Analysis
Having access to credible news sources related to Coursera's direct competition is more important than ever and may enhance your ability to predict Coursera's future price movements. Getting to know how Coursera's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Coursera may potentially react to the hype associated with one of its peers.
Coursera Additional Predictive Modules
Most predictive techniques to examine Coursera price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Coursera using various technical indicators. When you analyze Coursera charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Coursera Predictive Indicators
The successful prediction of Coursera stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Coursera, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Coursera based on analysis of Coursera hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Coursera's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Coursera's related companies. | 2022 | 2024 | 2025 (projected) | Payables Turnover | 8.24 | 2.73 | 4.06 | Days Of Inventory On Hand | 45.84 | 41.25 | 31.47 |
Story Coverage note for Coursera
The number of cover stories for Coursera depends on current market conditions and Coursera's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Coursera is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Coursera's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Coursera Short Properties
Coursera's future price predictability will typically decrease when Coursera's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Coursera often depends not only on the future outlook of the potential Coursera's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Coursera's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 157.4 M | |
| Shares Float | 137.5 M |
Additional Tools for Coursera Stock Analysis
When running Coursera's price analysis, check to measure Coursera's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Coursera is operating at the current time. Most of Coursera's value examination focuses on studying past and present price action to predict the probability of Coursera's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Coursera's price. Additionally, you may evaluate how the addition of Coursera to your portfolios can decrease your overall portfolio volatility.