Bank Of Nova Stock Price on December 18, 2024
| BNS Stock | CAD 77.03 0.05 0.06% |
Below is the normalized historical share price chart for Bank of Nova extending back to December 18, 1989. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Bank of Nova Scotia stands at 77.03, as last reported on the 26th of December, with the highest price reaching 77.30 and the lowest price hitting 76.88 during the day.
If you're considering investing in Bank Stock, it is important to understand the factors that can impact its price. As of now, Bank Stock is very steady. Bank of Nova Scotia secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the company had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for Bank of Nova, which you can use to evaluate the volatility of the firm. Please confirm Bank of Nova Scotia's Risk Adjusted Performance of 0.1069, downside deviation of 0.8892, and Mean Deviation of 0.5806 to double-check if the risk estimate we provide is consistent with the expected return of 0.1%.
At this time, Bank of Nova Scotia's Total Stockholder Equity is very stable compared to the past year. As of the 26th of December 2024, Liabilities And Stockholders Equity is likely to grow to about 1.7 T, while Common Stock Shares Outstanding is likely to drop about 1.2 B. . At this time, Bank of Nova Scotia's Price Earnings Ratio is very stable compared to the past year. As of the 26th of December 2024, Price Book Value Ratio is likely to grow to 1.83, while Price To Sales Ratio is likely to drop 2.38. Bank Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 68.6862 | 50 Day MA 76.2658 | Beta 0.978 |
Bank |
Sharpe Ratio = 0.1222
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Estimated Market Risk
| 0.82 actual daily | 7 93% of assets are more volatile |
Expected Return
| 0.1 actual daily | 1 99% of assets have higher returns |
Risk-Adjusted Return
| 0.12 actual daily | 9 91% of assets perform better |
Based on monthly moving average Bank of Nova Scotia is performing at about 9% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Bank of Nova Scotia by adding it to a well-diversified portfolio.
Price Book 1.3026 | Price Sales 3.2386 | Shares Float 1.2 B | Wall Street Target Price 80.5764 | Earnings Share 5.87 |
Bank of Nova Scotia Valuation on December 18, 2024
It is possible to determine the worth of Bank of Nova Scotia on a given historical date. On December 18, 2024 Bank was worth 78.38 at the beginning of the trading date compared to the closed value of 77.16. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Bank of Nova Scotia stock. Still, in general, we apply an absolute valuation method to find Bank of Nova Scotia's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Bank of Nova Scotia where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Bank of Nova Scotia's related companies.
| Open | High | Low | Close | Volume | |
| 78.00 | 78.57 | 77.81 | 78.37 | 2,967,495 | |
12/18/2024 | 78.38 | 78.46 | 76.92 | 77.16 | 5,902,384 |
| 77.10 | 77.39 | 76.82 | 76.90 | 2,842,972 |
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Bank of Nova Scotia Trading Date Momentum on December 18, 2024
| On December 19 2024 Bank of Nova was traded for 76.90 at the closing time. The maximum traded price for the trading interval was 77.39 and the lowest daily price was 76.82 . The daily volume was recorded at 2.8 M. The volume of trading on 19th of December 2024 played a part in the next trading day price drop. The overall trading delta to the next closing price was 0.34% . The overall trading delta to the closing price today is 0.21% . |
Bank of Nova Scotia Fundamentals Correlations and Trends
By evaluating Bank of Nova Scotia's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Bank of Nova Scotia's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Bank financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Bank of Nova Scotia Stock history
Bank of Nova Scotia investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Bank is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Bank of Nova Scotia will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Bank of Nova Scotia stock prices may prove useful in developing a viable investing in Bank of Nova Scotia
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 1.2 B | 1.2 B | |
| Net Income Applicable To Common Shares | 11.1 B | 8.7 B |
Bank of Nova Scotia Stock Technical Analysis
Bank of Nova Scotia technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Price Boundaries
Bank of Nova Scotia Period Price Range
Low | December 26, 2024
| High |
0.00 | 0.00 |
Bank of Nova cannot be verified against its exchange. Please verify the symbol is currently traded on Toronto Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Bank of Nova Scotia December 26, 2024 Market Strength
Market strength indicators help investors to evaluate how Bank of Nova Scotia stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank of Nova Scotia shares will generate the highest return on investment. By undertsting and applying Bank of Nova Scotia stock market strength indicators, traders can identify Bank of Nova entry and exit signals to maximize returns
Bank of Nova Scotia Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Bank of Nova Scotia's price direction in advance. Along with the technical and fundamental analysis of Bank Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Bank to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1069 | |||
| Jensen Alpha | 0.0894 | |||
| Total Risk Alpha | 0.064 | |||
| Sortino Ratio | 0.0731 | |||
| Treynor Ratio | 0.335 |
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Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of Nova. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.