Comscore Stock Price Prediction
| SCOR Stock | USD 8.80 0.19 2.11% |
Momentum 72
Buy Stretched
Oversold | Overbought |
EPS Estimate Next Quarter 1.975 | EPS Estimate Current Year 2.22 | EPS Estimate Next Year 4.915 | Wall Street Target Price 10 | EPS Estimate Current Quarter 0.915 |
Using Comscore hype-based prediction, you can estimate the value of Comscore from the perspective of Comscore response to recently generated media hype and the effects of current headlines on its competitors.
Comscore Hype to Price Pattern
Investor biases related to Comscore's public news can be used to forecast risks associated with an investment in Comscore. The trend in average sentiment can be used to explain how an investor holding Comscore can time the market purely based on public headlines and social activities around Comscore. 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 Comscore's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Comscore.
The fear of missing out, i.e., FOMO, can cause potential investors in Comscore to buy its stock at a price that has no basis in reality. In that case, they are not buying Comscore 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.
Comscore after-hype prediction price | USD 9.25 |
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.
Check out Comscore Basic Forecasting Models to cross-verify your projections. Comscore After-Hype Price Density Analysis
As far as predicting the price of Comscore 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 Comscore 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 Comscore, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Comscore Estimiated After-Hype Price Volatility
In the context of predicting Comscore's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Comscore's historical news coverage. Comscore's after-hype downside and upside margins for the prediction period are 5.32 and 13.18, respectively. We have considered Comscore'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
Comscore is slightly risky at this time. Analysis and calculation of next after-hype price of Comscore is based on 3 months time horizon.
Comscore Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Comscore is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Comscore 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 Comscore, 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 |
0.34 | 3.93 | 0.26 | 0.11 | 9 Events / Month | 5 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
8.80 | 9.25 | 2.89 |
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Comscore Hype Timeline
Comscore is at this time traded for 8.80. The entity has historical hype elasticity of 0.26, and average elasticity to hype of competition of 0.11. Comscore is estimated to increase in value after the next headline, with the price projected to jump to 9.25 or above. The average volatility of media hype impact on the company the price is over 100%. The price gain on the next news is projected to be 2.89%, whereas the daily expected return is at this time at 0.34%. The volatility of related hype on Comscore is about 1245.42%, with the expected price after the next announcement by competition of 8.91. Comscore currently holds 64.12 M in liabilities with Debt to Equity (D/E) ratio of 0.14, which may suggest the company is not taking enough advantage from borrowing. Given the investment horizon of 90 days the next estimated press release will be in about 9 days. Check out Comscore Basic Forecasting Models to cross-verify your projections.Comscore Related Hype Analysis
Having access to credible news sources related to Comscore's direct competition is more important than ever and may enhance your ability to predict Comscore's future price movements. Getting to know how Comscore'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 Comscore may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BODI | The Beachbody Company | 0.89 | 10 per month | 4.35 | 0.18 | 16.28 | (7.03) | 31.37 | |
| PODC | Courtside Group Common | (0.28) | 10 per month | 4.42 | 0.13 | 10.59 | (8.30) | 24.81 | |
| ZDGE | Zedge Inc | 0.06 | 11 per month | 6.06 | 0.03 | 7.89 | (8.01) | 31.44 | |
| TC | TuanChe ADR | 1.14 | 7 per month | 0.00 | (0.12) | 7.45 | (10.60) | 31.07 | |
| UONE | Urban One | 0.20 | 8 per month | 0.00 | (0.05) | 4.76 | (5.65) | 25.79 | |
| FLNT | Fluent Inc | (0.09) | 9 per month | 3.21 | 0.16 | 10.98 | (5.51) | 26.93 | |
| ACCS | ACCESS Newswire | 0.75 | 8 per month | 3.86 | 0.01 | 5.58 | (5.41) | 25.77 | |
| MNY | MoneyHero Limited Class | 0.13 | 8 per month | 4.27 | 0.03 | 9.85 | (5.76) | 39.95 | |
| TOON | Kartoon Studios | 0.04 | 10 per month | 0.00 | (0.08) | 5.41 | (4.71) | 19.55 |
Comscore Additional Predictive Modules
Most predictive techniques to examine Comscore price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Comscore using various technical indicators. When you analyze Comscore 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Comscore Predictive Indicators
The successful prediction of Comscore 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 Comscore, 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 Comscore based on analysis of Comscore hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Comscore's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Comscore's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Interest Debt Per Share | 10.07 | 13.16 | 11.85 | 14.03 | Revenue Per Share | 77.18 | 71.01 | 63.91 | 58.93 |
Pair Trading with Comscore
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Comscore position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Comscore will appreciate offsetting losses from the drop in the long position's value.Moving together with Comscore Stock
Moving against Comscore Stock
The ability to find closely correlated positions to Comscore could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Comscore when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Comscore - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Comscore to buy it.
The correlation of Comscore is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Comscore moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Comscore moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Comscore can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Comscore Stock Analysis
When running Comscore's price analysis, check to measure Comscore'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 Comscore is operating at the current time. Most of Comscore's value examination focuses on studying past and present price action to predict the probability of Comscore's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Comscore's price. Additionally, you may evaluate how the addition of Comscore to your portfolios can decrease your overall portfolio volatility.