Brookfield Renewable Corp Stock Price Prediction
| BEPC Stock | CAD 41.15 0.23 0.56% |
Oversold Vs Overbought
45
Oversold | Overbought |
Quarterly Earnings Growth 1.735 | EPS Estimate Current Year (1.04) | EPS Estimate Next Year (1.62) | Wall Street Target Price 41.1468 | EPS Estimate Current Quarter (0.05) |
Using Brookfield Renewable hype-based prediction, you can estimate the value of Brookfield Renewable Corp from the perspective of Brookfield Renewable 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 Brookfield Renewable to buy its stock at a price that has no basis in reality. In that case, they are not buying Brookfield 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.
Brookfield Renewable after-hype prediction price | CAD 41.23 |
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.
Brookfield |
Brookfield Renewable After-Hype Price Prediction Density Analysis
As far as predicting the price of Brookfield Renewable 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 Brookfield Renewable 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 Brookfield Renewable, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Brookfield Renewable Estimiated After-Hype Price Volatility
In the context of predicting Brookfield Renewable's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Brookfield Renewable's historical news coverage. Brookfield Renewable's after-hype downside and upside margins for the prediction period are 38.82 and 43.64, respectively. We have considered Brookfield Renewable'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
Brookfield Renewable is very steady at this time. Analysis and calculation of next after-hype price of Brookfield Renewable Corp is based on 3 months time horizon.
Brookfield Renewable Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Brookfield Renewable is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Brookfield Renewable 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 Brookfield Renewable, 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 |
0.08 | 2.41 | 0.08 | 0.02 | 3 Events / Month | 1 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
41.15 | 41.23 | 0.19 |
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Brookfield Renewable Hype Timeline
Brookfield Renewable Corp is currently traded for 41.15on Toronto Exchange of Canada. The entity has historical hype elasticity of 0.08, and average elasticity to hype of competition of 0.02. Brookfield is estimated to increase in value after the next headline, with the price projected to jump to 41.23 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is estimated to be 0.19%, whereas the daily expected return is currently at -0.08%. The volatility of related hype on Brookfield Renewable is about 1147.62%, with the expected price after the next announcement by competition of 41.17. The company reported the revenue of 3.97 B. Net Income was 308 M with profit before overhead, payroll, taxes, and interest of 2.7 B. Assuming the 90 days trading horizon the next estimated press release will be in about 3 days. Check out Brookfield Renewable Basic Forecasting Models to cross-verify your projections.Brookfield Renewable Related Hype Analysis
Having access to credible news sources related to Brookfield Renewable's direct competition is more important than ever and may enhance your ability to predict Brookfield Renewable's future price movements. Getting to know how Brookfield Renewable'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 Brookfield Renewable may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BIPC | Brookfield Infrastructure Corp | (0.48) | 3 per month | 0.00 | (0.06) | 2.05 | (1.91) | 10.54 | |
| BEP-UN | Brookfield Renewable Partners | 0.81 | 4 per month | 0.00 | (0.07) | 2.43 | (2.77) | 14.66 | |
| BIP-UN | Brookfield Infrastructure Partners | 0.47 | 2 per month | 1.34 | (0) | 1.91 | (1.98) | 9.82 | |
| NPI | Northland Power | 0.05 | 3 per month | 0.00 | (0.19) | 2.46 | (3.05) | 10.70 | |
| BN | Brookfield | 0.20 | 3 per month | 1.23 | 0.14 | 2.47 | (1.72) | 8.25 |
Brookfield Renewable Additional Predictive Modules
Most predictive techniques to examine Brookfield price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Brookfield using various technical indicators. When you analyze Brookfield 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 | ||
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| Overlap Studies | ||
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| Statistic Functions | ||
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| Volume Indicators |
About Brookfield Renewable Predictive Indicators
The successful prediction of Brookfield Renewable 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 Brookfield Renewable Corp, 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 Brookfield Renewable based on analysis of Brookfield Renewable hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Brookfield Renewable's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Brookfield Renewable's related companies. | 2021 | 2023 | 2024 (projected) | Dividend Yield | 0.0214 | 0.0246 | 0.0234 | Price To Sales Ratio | 1.88 | 1.3 | 1.24 |
Story Coverage note for Brookfield Renewable
The number of cover stories for Brookfield Renewable depends on current market conditions and Brookfield Renewable's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Brookfield Renewable 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 Brookfield Renewable'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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Brookfield Renewable Short Properties
Brookfield Renewable's future price predictability will typically decrease when Brookfield Renewable's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Brookfield Renewable Corp often depends not only on the future outlook of the potential Brookfield Renewable'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. Brookfield Renewable's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 179.7 M | |
| Cash And Short Term Investments | 441 M |
Check out Brookfield Renewable Basic Forecasting Models to cross-verify your projections. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.