Bank Of Nova Stock Probability of Future Stock Price Finishing Over 78.43
| BNS Stock | CAD 78.99 0.08 0.10% |
Bank |
Bank of Nova Scotia Target Price Odds to finish over 78.43
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 stay above C$ 78.43 in 90 days |
| 78.99 | 90 days | 78.43 | roughly 2.98 |
Based on a normal probability distribution, the odds of Bank of Nova Scotia to stay above C$ 78.43 in 90 days from now is roughly 2.98 (This Bank of Nova 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 C$ 78.43 and its current price of C$78.99 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Bank of Nova has a beta of -0.0203 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, Bank of Nova is likely to outperform the market. Additionally Bank of Nova has an alpha of 0.3175, implying that it can generate a 0.32 percent excess return over Dow Jones Industrial 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.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 Bank of Nova, 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 Dow Jones | 0.32 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 3.60 | |
Ir | Information ratio | 0.23 |
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 | |
| Cash And Short Term Investments | 140.8 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 Bank of Nova. 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank of Nova Scotia in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank of Nova Scotia's short interest history, or implied volatility extrapolated from Bank of Nova Scotia options trading.
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.