Stewart Information Services Stock Price Prediction
| STC Stock | USD 71.86 2.95 4.28% |
Oversold Vs Overbought
36
Oversold | Overbought |
Quarterly Earnings Growth 1.093 | EPS Estimate Next Quarter 1.1 | EPS Estimate Current Year 3.33 | EPS Estimate Next Year 5.79 | Wall Street Target Price 80.5 |
Using Stewart Information hype-based prediction, you can estimate the value of Stewart Information Services from the perspective of Stewart Information response to recently generated media hype and the effects of current headlines on its competitors.
Stewart Information Hype to Price Pattern
Investor biases related to Stewart Information's public news can be used to forecast risks associated with an investment in Stewart. The trend in average sentiment can be used to explain how an investor holding Stewart can time the market purely based on public headlines and social activities around Stewart Information Services. 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 Stewart Information's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Stewart Information.
The fear of missing out, i.e., FOMO, can cause potential investors in Stewart Information to buy its stock at a price that has no basis in reality. In that case, they are not buying Stewart 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.
Stewart Information after-hype prediction price | USD 71.84 |
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.
Stewart |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stewart Information'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.
Stewart Information After-Hype Price Prediction Density Analysis
As far as predicting the price of Stewart Information 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 Stewart Information 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 Stewart Information, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Stewart Information Estimiated After-Hype Price Volatility
In the context of predicting Stewart Information's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Stewart Information's historical news coverage. Stewart Information's after-hype downside and upside margins for the prediction period are 69.97 and 73.71, respectively. We have considered Stewart Information'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
Stewart Information is very steady at this time. Analysis and calculation of next after-hype price of Stewart Information is based on 3 months time horizon.
Stewart Information Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Stewart Information is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Stewart Information 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 Stewart Information, 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 |
0.07 | 1.87 | 0.02 | 0.00 | 8 Events / Month | 5 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
71.86 | 71.84 | 0.03 |
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Stewart Information Hype Timeline
On the 7th of November Stewart Information is traded for 71.86. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of 0.0. Stewart is anticipated to decline in value after the next headline, with the price expected to drop to 71.84. The average volatility of media hype impact on the company price is over 100%. The price depreciation on the next news is expected to be -0.03%, whereas the daily expected return is at this time at 0.07%. The volatility of related hype on Stewart Information is about 2671.43%, with the expected price after the next announcement by competition of 71.86. About 100.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.33. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Stewart Information last dividend was issued on the 16th of September 2024. The entity had 2:1 split on the 24th of May 1999. Considering the 90-day investment horizon the next anticipated press release will be in about 8 days. Check out Stewart Information Basic Forecasting Models to cross-verify your projections.Stewart Information Related Hype Analysis
Having access to credible news sources related to Stewart Information's direct competition is more important than ever and may enhance your ability to predict Stewart Information's future price movements. Getting to know how Stewart Information'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 Stewart Information may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SIGI | Selective Insurance Group | 1.99 | 8 per month | 1.09 | 0.05 | 2.38 | (1.83) | 6.57 | |
| KMPR | Kemper | 0.27 | 9 per month | 1.16 | 0.03 | 2.29 | (1.89) | 6.78 | |
| DGICB | Donegal Group B | (0.08) | 8 per month | 3.05 | 0.04 | 7.61 | (6.04) | 18.69 | |
| ARGO-PA | Argo Group International | 0.00 | 0 per month | 0.25 | (0.41) | 0.61 | (0.41) | 1.78 | |
| GBLI | Global Indemnity PLC | 0.51 | 5 per month | 1.16 | 0 | 2.91 | (2.36) | 9.05 | |
| HMN | Horace Mann Educators | 0.69 | 11 per month | 1.09 | 0.12 | 1.87 | (1.68) | 6.37 | |
| RLI | RLI Corp | (2.95) | 9 per month | 1.18 | 0.04 | 1.66 | (1.82) | 7.01 | |
| PRA | ProAssurance | 0.16 | 7 per month | 1.81 | 0.14 | 3.16 | (3.69) | 21.73 | |
| ARGO | Argo Group International | 0.04 | 1 per month | 0.00 | (1.48) | 0.14 | (0.17) | 0.65 |
Stewart Information Additional Predictive Modules
Most predictive techniques to examine Stewart price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Stewart using various technical indicators. When you analyze Stewart 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 Stewart Information Predictive Indicators
The successful prediction of Stewart Information 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 Stewart Information Services, 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 Stewart Information based on analysis of Stewart Information hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Stewart Information's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Stewart Information's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0171 | 0.0386 | 0.0315 | 0.0178 | Price To Sales Ratio | 0.65 | 0.38 | 0.71 | 0.75 |
Story Coverage note for Stewart Information
The number of cover stories for Stewart Information depends on current market conditions and Stewart Information's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Stewart Information 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 Stewart Information'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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Stewart Information Short Properties
Stewart Information's future price predictability will typically decrease when Stewart Information's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Stewart Information Services often depends not only on the future outlook of the potential Stewart Information'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. Stewart Information's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 27.5 M | |
| Cash And Short Term Investments | 272.4 M |
Complementary Tools for Stewart Stock analysis
When running Stewart Information's price analysis, check to measure Stewart Information'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 Stewart Information is operating at the current time. Most of Stewart Information's value examination focuses on studying past and present price action to predict the probability of Stewart Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Stewart Information's price. Additionally, you may evaluate how the addition of Stewart Information to your portfolios can decrease your overall portfolio volatility.
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