Bank of Nova Scotia (Mexico) Probability of Future Stock Price Finishing Over 887.26
| BNS Stock | MXN 806.00 0.60 0.07% |
Bank |
Bank of Nova Scotia Target Price Odds to finish over 887.26
The tendency of Bank Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over 887.26 or more in 90 days |
| 806.00 | 90 days | 887.26 | near 1 |
Based on a normal probability distribution, the odds of Bank of Nova Scotia to move over 887.26 or more in 90 days from now is near 1 (This The Bank of probability density function shows the probability of Bank Stock to fall within a particular range of prices over 90 days) . Probability of Bank of Nova Scotia price to stay between its current price of 806.00 and 887.26 at the end of the 90-day period is about 54.14 .
Assuming the 90 days trading horizon The Bank of has a beta of -0.085 suggesting as returns on the benchmark increase, returns on holding Bank of Nova Scotia are expected to decrease at a much lower rate. During a bear market, however, The Bank of is likely to outperform the market. Additionally The Bank of has an alpha of 0.0723, implying that it can generate a 0.0723 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Bank of Nova Scotia Price Density |
| Price |
Predictive Modules for Bank of Nova Scotia
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of Nova Scotia. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bank of Nova Scotia's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Bank of Nova Scotia Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Bank of Nova Scotia is not an exception. The market had few large corrections towards the Bank of Nova Scotia's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold The Bank of, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bank of Nova Scotia within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.07 | |
β | Beta against NYSE Composite | -0.09 | |
σ | Overall volatility | 28.68 | |
Ir | Information ratio | 0.03 |
Bank of Nova Scotia Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Bank of Nova Scotia for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bank of Nova Scotia can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| The Bank of has accumulated about 221.92 B in cash with (78.96 B) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 180.86. |
Bank of Nova Scotia Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Bank Stock often depends not only on the future outlook of the current and 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 |
Bank of Nova Scotia Technical Analysis
Bank of Nova Scotia's future price can be derived by breaking down and analyzing its technical indicators over time. Bank Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of The Bank of. In general, you should focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environments and drivers.
Bank of Nova Scotia Predictive Forecast Models
Bank of Nova Scotia's time-series forecasting models is one of many Bank of Nova Scotia's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Bank of Nova Scotia's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Bank of Nova Scotia
Checking the ongoing alerts about Bank of Nova Scotia for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bank of Nova Scotia help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The Bank of has accumulated about 221.92 B in cash with (78.96 B) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 180.86. |
Check out Bank of Nova Scotia Backtesting, Bank of Nova Scotia Valuation, Bank of Nova Scotia Correlation, Bank of Nova Scotia Hype Analysis, Bank of Nova Scotia Volatility, Bank of Nova Scotia History as well as Bank of Nova Scotia Performance. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for Bank Stock analysis
When running Bank of Nova Scotia's price analysis, check to measure Bank of Nova Scotia'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 Bank of Nova Scotia is operating at the current time. Most of Bank of Nova Scotia's value examination focuses on studying past and present price action to predict the probability of Bank of Nova Scotia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of Nova Scotia's price. Additionally, you may evaluate how the addition of Bank of Nova Scotia to your portfolios can decrease your overall portfolio volatility.
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