Bank of Nova Scotia (Mexico) Market Value
BNS Stock | MXN 806.00 0.60 0.07% |
Symbol | Bank |
Bank of Nova Scotia 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Bank of Nova Scotia's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Bank of Nova Scotia.
05/01/2024 |
| 05/31/2024 |
If you would invest 0.00 in Bank of Nova Scotia on May 1, 2024 and sell it all today you would earn a total of 0.00 from holding The Bank of or generate 0.0% return on investment in Bank of Nova Scotia over 30 days. Bank of Nova Scotia is related to or competes with Barclays PLC, Select Sector, Promotora, SPDR Series, IShares Trust, Controladora Vuela, and Ameriprise Financial. The Bank of Nova Scotia provides various banking products and services in North America, Latin America, the Caribbean an... More
Bank of Nova Scotia Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Bank of Nova Scotia's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess The Bank of upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0436 | |||
Maximum Drawdown | 13.92 |
Bank of Nova Scotia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of Nova Scotia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of Nova Scotia's standard deviation. In reality, there are many statistical measures that can use Bank of Nova Scotia historical prices to predict the future Bank of Nova Scotia's volatility.Risk Adjusted Performance | 0.0428 | |||
Jensen Alpha | 0.0749 | |||
Total Risk Alpha | 0.0407 | |||
Treynor Ratio | (0.17) |
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 Backtested Returns
We consider Bank of Nova Scotia very steady. Bank of Nova Scotia secures Sharpe Ratio (or Efficiency) of 0.065, which signifies that the company had a 0.065% return per unit of standard deviation over the last 3 months. We have found nineteen technical indicators for The Bank of, which you can use to evaluate the volatility of the firm. Please confirm Bank of Nova Scotia's Mean Deviation of 0.3097, risk adjusted performance of 0.0428, and Coefficient Of Variation of 1613.06 to double-check if the risk estimate we provide is consistent with the expected return of 0.0872%. Bank of Nova Scotia has a performance score of 5 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.42, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Bank of Nova Scotia are expected to decrease at a much lower rate. During the bear market, Bank of Nova Scotia is likely to outperform the market. Bank of Nova Scotia right now shows a risk of 1.34%. Please confirm Bank of Nova Scotia standard deviation, kurtosis, period momentum indicator, as well as the relationship between the jensen alpha and day median price , to decide if Bank of Nova Scotia will be following its price patterns.
Auto-correlation | 0.05 |
Virtually no predictability
The Bank of has virtually no predictability. Overlapping area represents the amount of predictability between Bank of Nova Scotia time series from 1st of May 2024 to 16th of May 2024 and 16th of May 2024 to 31st of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Bank of Nova Scotia price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Bank of Nova Scotia price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.05 | |
Spearman Rank Test | -0.4 | |
Residual Average | 0.0 | |
Price Variance | 0.03 |
Bank of Nova Scotia lagged returns against current returns
Autocorrelation, which is Bank of Nova Scotia stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Bank of Nova Scotia's stock expected returns. We can calculate the autocorrelation of Bank of Nova Scotia returns to help us make a trade decision. For example, suppose you find that Bank of Nova Scotia has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Bank of Nova Scotia regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Bank of Nova Scotia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of Nova Scotia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank of Nova Scotia stock over time.
Current vs Lagged Prices |
Timeline |
Bank of Nova Scotia Lagged Returns
When evaluating Bank of Nova Scotia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of Nova Scotia stock have on its future price. Bank of Nova Scotia autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Bank of Nova Scotia autocorrelation shows the relationship between Bank of Nova Scotia stock current value and its past values and can show if there is a momentum factor associated with investing in The Bank of.
Regressed Prices |
Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Bank of Nova Scotia Correlation, Bank of Nova Scotia Volatility and Bank of Nova Scotia Alpha and Beta module to complement your research on Bank of Nova Scotia. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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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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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.