Selective Insurance Group Preferred Stock Price Patterns
| SIGIP Preferred Stock | USD 17.02 0.14 0.82% |
Momentum 60
Buy Extended
Oversold | Overbought |
Using Selective Insurance hype-based prediction, you can estimate the value of Selective Insurance Group from the perspective of Selective Insurance response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Selective Insurance to buy its preferred stock at a price that has no basis in reality. In that case, they are not buying Selective 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 preferred stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Selective Insurance after-hype prediction price | USD 17.02 |
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 preferred stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Selective |
Selective Insurance After-Hype Price Density Analysis
As far as predicting the price of Selective Insurance 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 Selective Insurance 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 Preferred Stock prices, such as prices of Selective Insurance, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Selective Insurance Estimiated After-Hype Price Volatility
In the context of predicting Selective Insurance's preferred stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Selective Insurance's historical news coverage. Selective Insurance's after-hype downside and upside margins for the prediction period are 16.44 and 17.60, respectively. We have considered Selective Insurance'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
Selective Insurance is very steady at this time. Analysis and calculation of next after-hype price of Selective Insurance is based on 3 months time horizon.
Selective Insurance Preferred Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Selective Insurance is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Selective Insurance 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 Preferred 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 Selective Insurance, 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 |
0.01 | 0.58 | 0.00 | 0.00 | 25 Events / Month | 6 Events / Month | In about 25 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
17.02 | 17.02 | 0.00 |
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Selective Insurance Hype Timeline
Selective Insurance is at this time traded for 17.02. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Selective is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at -0.01%. %. The volatility of related hype on Selective Insurance is about 172.11%, with the expected price after the next announcement by competition of 17.02. The company recorded earning per share (EPS) of 5.62. Selective Insurance last dividend was issued on the 27th of February 2023. Assuming the 90 days horizon the next forecasted press release will be in about 25 days. Check out Selective Insurance Basic Forecasting Models to cross-verify your projections.Selective Insurance Related Hype Analysis
Having access to credible news sources related to Selective Insurance's direct competition is more important than ever and may enhance your ability to predict Selective Insurance's future price movements. Getting to know how Selective Insurance'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 Selective Insurance may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SAFT | Safety Insurance Group | 0.34 | 8 per month | 1.09 | 0.1 | 2.22 | (2.07) | 6.16 | |
| ROOT | Root Inc | 1.37 | 11 per month | 0.00 | (0.05) | 6.49 | (6.51) | 21.60 | |
| HRTG | Heritage Insurance Hldgs | 0.13 | 7 per month | 2.90 | 0.03 | 4.24 | (4.89) | 19.93 | |
| PRA | ProAssurance | (0.05) | 8 per month | 0.20 | (0.23) | 0.38 | (0.41) | 1.04 | |
| CFR | CullenFrost Bankers | 0.59 | 10 per month | 0.86 | 0.09 | 3.15 | (1.48) | 7.64 | |
| TRIN | Trinity Capital | 0.39 | 9 per month | 1.09 | 0.17 | 2.45 | (1.55) | 6.36 | |
| ASIC | Ategrity Specialty Insurance | 0.92 | 12 per month | 0.00 | (0.07) | 3.17 | (3.44) | 8.64 | |
| OCFC | OceanFirst Financial Corp | (0.08) | 10 per month | 1.82 | (0.02) | 3.55 | (2.24) | 11.35 | |
| UFCS | United Fire Group | (0.18) | 17 per month | 1.10 | 0.07 | 2.14 | (2.09) | 17.21 | |
| JCAP | Jefferson Capital Common | (0.06) | 8 per month | 2.35 | 0.07 | 4.12 | (2.98) | 17.08 |
Selective Insurance Additional Predictive Modules
Most predictive techniques to examine Selective price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Selective using various technical indicators. When you analyze Selective 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 Selective Insurance Predictive Indicators
The successful prediction of Selective Insurance 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 Selective Insurance Group, 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 Selective Insurance based on analysis of Selective Insurance hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Selective Insurance's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Selective Insurance's related companies.
Pair Trading with Selective Insurance
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 Selective Insurance 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 Selective Insurance will appreciate offsetting losses from the drop in the long position's value.Moving against Selective Preferred Stock
| 0.79 | ALL | Allstate | PairCorr |
| 0.79 | IFCZF | Intact Financial | PairCorr |
| 0.74 | PGR | Progressive Corp Sell-off Trend | PairCorr |
| 0.74 | TRV | The Travelers Companies | PairCorr |
| 0.68 | LNDNF | Lundin Energy AB | PairCorr |
| 0.67 | PINXY | Peoples Insurance | PairCorr |
The ability to find closely correlated positions to Selective Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Selective Insurance 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 Selective Insurance - 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 Selective Insurance Group to buy it.
The correlation of Selective Insurance 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 Selective Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Selective Insurance 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 Selective Insurance 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 Selective Preferred Stock Analysis
When running Selective Insurance's price analysis, check to measure Selective Insurance'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 Selective Insurance is operating at the current time. Most of Selective Insurance's value examination focuses on studying past and present price action to predict the probability of Selective Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Selective Insurance's price. Additionally, you may evaluate how the addition of Selective Insurance to your portfolios can decrease your overall portfolio volatility.