Life InsuranceOf (India) Price Prediction
| LICI Stock | 779.50 2.75 0.35% |
Momentum 42
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.095 | EPS Estimate Next Quarter 21.7 | EPS Estimate Current Year 68.386 | EPS Estimate Next Year 69.394 | Wall Street Target Price 1.1 K |
Using Life InsuranceOf hype-based prediction, you can estimate the value of Life Insurance from the perspective of Life InsuranceOf 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 Life InsuranceOf to buy its stock at a price that has no basis in reality. In that case, they are not buying Life 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.
Life InsuranceOf after-hype prediction price | INR 778.07 |
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.
Life |
Life InsuranceOf After-Hype Price Prediction Density Analysis
As far as predicting the price of Life InsuranceOf 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 Life InsuranceOf 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 Life InsuranceOf, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Life InsuranceOf Estimiated After-Hype Price Volatility
In the context of predicting Life InsuranceOf's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Life InsuranceOf's historical news coverage. Life InsuranceOf's after-hype downside and upside margins for the prediction period are 776.44 and 779.70, respectively. We have considered Life InsuranceOf'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
Life InsuranceOf is very steady at this time. Analysis and calculation of next after-hype price of Life InsuranceOf is based on 3 months time horizon.
Life InsuranceOf Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Life InsuranceOf is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Life InsuranceOf 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 Life InsuranceOf, 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 |
0.23 | 1.64 | 1.43 | 10.64 | 5 Events / Month | 1 Events / Month | In about 5 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
779.50 | 778.07 | 0.18 |
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Life InsuranceOf Hype Timeline
Life InsuranceOf is now traded for 779.50on National Stock Exchange of India of India. The entity has historical hype elasticity of -1.43, and average elasticity to hype of competition of -10.64. Life is projected to decline in value after the next headline, with the price expected to drop to 778.07. The average volatility of media hype impact on the company price is about 26.45%. The price decline on the next news is expected to be -0.18%, whereas the daily expected return is now at -0.23%. The volatility of related hype on Life InsuranceOf is about 3.55%, with the expected price after the next announcement by competition of 768.86. About 96.0% of the company outstanding shares are owned by corporate insiders. The book value of Life InsuranceOf was now reported as 154.37. The company recorded earning per share (EPS) of 68.12. Life InsuranceOf last dividend was issued on the 19th of July 2024. Assuming the 90 days trading horizon the next projected press release will be in about 5 days. Check out Life InsuranceOf Basic Forecasting Models to cross-verify your projections.Life InsuranceOf Related Hype Analysis
Having access to credible news sources related to Life InsuranceOf's direct competition is more important than ever and may enhance your ability to predict Life InsuranceOf's future price movements. Getting to know how Life InsuranceOf'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 Life InsuranceOf may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KINGFA | Kingfa Science Technology | (181.45) | 4 per month | 0.00 | (0.03) | 6.03 | (4.35) | 15.46 | |
| RSSOFTWARE | R S Software | (4.24) | 1 per month | 0.00 | (0.57) | 5.00 | (5.01) | 15.25 | |
| TATACOMM | Tata Communications Limited | 15.25 | 5 per month | 0.00 | (0.08) | 3.06 | (3.51) | 9.39 | |
| SHYAMTEL | Shyam Telecom Limited | (0.34) | 1 per month | 0.00 | (0.26) | 4.96 | (5.01) | 15.23 | |
| IDEAFORGE | ideaForge Technology Limited | (7.85) | 4 per month | 0.00 | (0.19) | 4.20 | (5.26) | 11.42 | |
| ORTEL | Ortel Communications Limited | 0.00 | 1 per month | 0.00 | (0.07) | 4.68 | (5.26) | 15.05 | |
| KAYNES | Kaynes Technology India | (145.20) | 7 per month | 0.00 | (0.11) | 5.58 | (7.90) | 17.46 |
Life InsuranceOf Additional Predictive Modules
Most predictive techniques to examine Life price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Life using various technical indicators. When you analyze Life 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 Life InsuranceOf Predictive Indicators
The successful prediction of Life InsuranceOf 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 Life Insurance, 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 Life InsuranceOf based on analysis of Life InsuranceOf hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Life InsuranceOf's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Life InsuranceOf's related companies.
Story Coverage note for Life InsuranceOf
The number of cover stories for Life InsuranceOf depends on current market conditions and Life InsuranceOf's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Life InsuranceOf 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 Life InsuranceOf's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Life InsuranceOf Short Properties
Life InsuranceOf's future price predictability will typically decrease when Life InsuranceOf's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Life Insurance often depends not only on the future outlook of the potential Life InsuranceOf'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. Life InsuranceOf's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 6.3 B | |
| Cash And Short Term Investments | 418.2 B |
Additional Tools for Life Stock Analysis
When running Life InsuranceOf's price analysis, check to measure Life InsuranceOf'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 Life InsuranceOf is operating at the current time. Most of Life InsuranceOf's value examination focuses on studying past and present price action to predict the probability of Life InsuranceOf's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Life InsuranceOf's price. Additionally, you may evaluate how the addition of Life InsuranceOf to your portfolios can decrease your overall portfolio volatility.