Sun Life Financial Stock Price Patterns
| SLF Stock | CAD 88.99 0.21 0.24% |
Momentum 55
Impartial
Oversold | Overbought |
Quarterly Earnings Growth (0.15) | EPS Estimate Next Quarter 1.8983 | EPS Estimate Current Year 7.3297 | EPS Estimate Next Year 7.8576 | Wall Street Target Price 92.7857 |
Using Sun Life hype-based prediction, you can estimate the value of Sun Life Financial from the perspective of Sun Life 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 Sun Life to buy its stock at a price that has no basis in reality. In that case, they are not buying Sun 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.
Sun Life after-hype prediction price | CAD 89.07 |
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.
Sun |
Sun Life After-Hype Price Density Analysis
As far as predicting the price of Sun Life 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 Sun Life 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 Sun Life, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Sun Life Estimiated After-Hype Price Volatility
In the context of predicting Sun Life's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sun Life's historical news coverage. Sun Life's after-hype downside and upside margins for the prediction period are 88.18 and 89.96, respectively. We have considered Sun Life'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Sun Life is very steady at this time. Analysis and calculation of next after-hype price of Sun Life Financial is based on 3 months time horizon.
Sun Life Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Sun Life is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sun Life 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 Sun Life, 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 |
0.17 | 0.89 | 0.08 | 0.03 | 7 Events / Month | 1 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
88.99 | 89.07 | 0.09 |
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Sun Life Hype Timeline
Sun Life Financial is at this time traded for 88.99on Toronto Exchange of Canada. The entity has historical hype elasticity of 0.08, and average elasticity to hype of competition of 0.03. Sun is forecasted to increase in value after the next headline, with the price projected to jump to 89.07 or above. The average volatility of media hype impact on the company the price is about 193.48%. The price boost on the next news is estimated to be 0.09%, whereas the daily expected return is at this time at 0.17%. The volatility of related hype on Sun Life is about 474.67%, with the expected price after the next announcement by competition of 89.02. The company reported the revenue of 34.48 B. Net Income was 4.34 B with profit before overhead, payroll, taxes, and interest of 14 B. Assuming the 90 days trading horizon the next forecasted press release will be in about 7 days. Check out Sun Life Basic Forecasting Models to cross-verify your projections.Sun Life Related Hype Analysis
Having access to credible news sources related to Sun Life's direct competition is more important than ever and may enhance your ability to predict Sun Life's future price movements. Getting to know how Sun Life'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 Sun Life may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GWO | Great West Lifeco | (0.25) | 8 per month | 0.82 | (0.02) | 1.46 | (1.50) | 4.62 | |
| MFC | Manulife Financial Corp | 0.70 | 9 per month | 0.85 | 0.10 | 1.62 | (1.61) | 5.56 | |
| IFC | Intact Financial | (0.49) | 6 per month | 0.00 | (0.08) | 2.25 | (1.77) | 7.09 | |
| TD-PFJ | Toronto Dominion Bank Pref | 0.00 | 0 per month | 0.44 | (0.11) | 0.74 | (0.77) | 2.21 | |
| POW | Power | (0.50) | 10 per month | 0.00 | (0.09) | 1.81 | (1.92) | 6.73 | |
| FFH | Fairfax Financial Holdings | (1.11) | 6 per month | 1.54 | (0) | 2.21 | (2.58) | 9.94 | |
| NA | National Bank of | 2.01 | 5 per month | 0.65 | 0.04 | 1.47 | (1.19) | 4.32 | |
| IAG | iA Financial | 1.14 | 4 per month | 1.36 | (0.02) | 1.91 | (2.42) | 6.82 |
Sun Life Additional Predictive Modules
Most predictive techniques to examine Sun price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sun using various technical indicators. When you analyze Sun 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 Sun Life Predictive Indicators
The successful prediction of Sun Life 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 Sun Life Financial, 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 Sun Life based on analysis of Sun Life hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Sun Life's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Sun Life's related companies. | 2024 | 2025 (projected) | Dividend Yield | 0.0397 | 0.0357 | Price To Sales Ratio | 1.43 | 1.29 |
Pair Trading with Sun Life
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 Sun Life 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 Sun Life will appreciate offsetting losses from the drop in the long position's value.Moving together with Sun Stock
Moving against Sun Stock
| 0.61 | ORC-A | Orca Energy Group | PairCorr |
| 0.48 | RCI-A | Rogers Communications | PairCorr |
| 0.47 | RVX | Resverlogix Corp | PairCorr |
| 0.4 | DII-A | Dorel Industries ClA | PairCorr |
The ability to find closely correlated positions to Sun Life could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sun Life 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 Sun Life - 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 Sun Life Financial to buy it.
The correlation of Sun Life 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 Sun Life moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sun Life Financial 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 Sun Life 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.Check out Sun Life Basic Forecasting Models to cross-verify your projections. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.