Bank Of Nova Stock Price Prediction
| BNS Stock | CAD 78.37 0.01 0.01% |
Oversold Vs Overbought
52
Oversold | Overbought |
Quarterly Earnings Growth (0.17) | EPS Estimate Current Year 6.5033 | EPS Estimate Next Year 7.1115 | Wall Street Target Price 80.5764 | EPS Estimate Current Quarter 1.5977 |
Using Bank of Nova Scotia hype-based prediction, you can estimate the value of Bank of Nova from the perspective of Bank of Nova Scotia 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 Bank of Nova Scotia to buy its stock at a price that has no basis in reality. In that case, they are not buying Bank 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.
Bank of Nova Scotia after-hype prediction price | CAD 78.27 |
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.
Bank |
Bank of Nova Scotia After-Hype Price Prediction Density Analysis
As far as predicting the price of Bank of Nova Scotia 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 Bank of Nova Scotia 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 Bank of Nova Scotia, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bank of Nova Scotia Estimiated After-Hype Price Volatility
In the context of predicting Bank of Nova Scotia's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bank of Nova Scotia's historical news coverage. Bank of Nova Scotia's after-hype downside and upside margins for the prediction period are 77.42 and 79.12, respectively. We have considered Bank of Nova Scotia'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
Bank of Nova Scotia is very steady at this time. Analysis and calculation of next after-hype price of Bank of Nova Scotia is based on 3 months time horizon.
Bank of Nova Scotia Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bank of Nova Scotia is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank of Nova Scotia 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 Bank of Nova Scotia, 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 |
0.16 | 0.85 | 0.10 | 0.06 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
78.37 | 78.27 | 0.13 |
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Bank of Nova Scotia Hype Timeline
Bank of Nova Scotia is currently traded for 78.37on Toronto Exchange of Canada. The entity has historical hype elasticity of -0.1, and average elasticity to hype of competition of 0.06. Bank is projected to decline in value after the next headline, with the price expected to drop to 78.27. The average volatility of media hype impact on the company price is about 130.77%. The price drop on the next news is expected to be -0.13%, whereas the daily expected return is currently at 0.16%. The volatility of related hype on Bank of Nova Scotia is about 216.84%, with the expected price after the next announcement by competition of 78.43. About 51.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.33. Some equities with similar Price to Book (P/B) outperform the market in the long run. Bank of Nova Scotia has Price/Earnings To Growth (PEG) ratio of 1.35. The entity recorded earning per share (EPS) of 5.87. The firm last dividend was issued on the 2nd of October 2024. Bank of Nova Scotia had 2:1 split on the 2nd of April 2004. Assuming the 90 days trading horizon the next projected press release will be very soon. Check out Bank of Nova Scotia Basic Forecasting Models to cross-verify your projections.Bank of Nova Scotia Related Hype Analysis
Having access to credible news sources related to Bank of Nova Scotia's direct competition is more important than ever and may enhance your ability to predict Bank of Nova Scotia's future price movements. Getting to know how Bank of Nova Scotia'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 Bank of Nova Scotia may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TD | Toronto Dominion Bank | (1.63) | 6 per month | 0.00 | (0.17) | 1.37 | (1.41) | 9.50 | |
| RY | Royal Bank of | 3.88 | 5 per month | 0.43 | 0.04 | 1.24 | (0.82) | 4.01 | |
| BMO | Bank of Montreal | 0.07 | 5 per month | 0.17 | 0.20 | 1.79 | (1.04) | 7.06 | |
| CM | Canadian Imperial Bank | (1.18) | 3 per month | 0.34 | 0.15 | 1.20 | (1.03) | 5.46 | |
| ENB | Enbridge | 0.82 | 4 per month | 0.50 | 0.06 | 1.54 | (0.94) | 3.60 |
Bank of Nova Scotia Additional Predictive Modules
Most predictive techniques to examine Bank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bank using various technical indicators. When you analyze Bank 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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| Volume Indicators |
About Bank of Nova Scotia Predictive Indicators
The successful prediction of Bank of Nova Scotia 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 Bank of Nova, 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 Bank of Nova Scotia based on analysis of Bank of Nova Scotia hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bank of Nova Scotia's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bank of Nova Scotia's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0648 | 0.0807 | 0.0643 | 0.0342 | Price To Sales Ratio | 2.53 | 2.11 | 2.62 | 2.38 |
Story Coverage note for Bank of Nova Scotia
The number of cover stories for Bank of Nova Scotia depends on current market conditions and Bank of Nova Scotia's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bank of Nova Scotia 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 Bank of Nova Scotia'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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Bank of Nova Scotia Short Properties
Bank of Nova Scotia's future price predictability will typically decrease when Bank of Nova Scotia's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bank of Nova often depends not only on the future outlook of the potential Bank of Nova Scotia'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. Bank of Nova Scotia's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.2 B |
Check out Bank of Nova Scotia Basic Forecasting Models to cross-verify your projections. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.