Bank Of Nova Stock Statistic Functions Variance

BNS Stock  USD 46.85  0.55  1.19%   
Bank of Nova Scotia statistic functions tool provides the execution environment for running the Variance function and other technical functions against Bank of Nova Scotia. Bank of Nova Scotia value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Variance function function is designed to identify and follow existing trends. Bank of Nova Scotia statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. Bank of Nova Scotia Variance is a measurement of the price spread between periods of Bank of Nova Scotia price series.

Bank of Nova Scotia Technical Analysis Modules

Most technical analysis of Bank of Nova Scotia help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Bank from various momentum indicators to cycle 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.

About Bank of Nova Scotia Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Bank of Nova. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank of Nova based on widely used predictive technical indicators. In general, we focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bank of Nova Scotia's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Bank of Nova Scotia's intrinsic value. In addition to deriving basic predictive indicators for Bank of Nova Scotia, we also check how macroeconomic factors affect Bank of Nova Scotia price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 (projected)
Dividend Yield0.06480.08080.0929
Price To Sales Ratio2.542.111.9
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.
Hype
Prediction
LowEstimatedHigh
45.7646.8547.94
Details
Intrinsic
Valuation
LowRealHigh
42.1749.0350.12
Details
Naive
Forecast
LowNextHigh
46.5947.6848.76
Details
15 Analysts
Consensus
LowTargetHigh
46.0550.6056.17
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Bank of Nova Scotia. Your research has to be compared to or analyzed against Bank of Nova Scotia's peers to derive any actionable benefits. When done correctly, Bank of Nova Scotia's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Bank of Nova Scotia.

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Bank of Nova Scotia pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of Nova Scotia position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of Nova Scotia will appreciate offsetting losses from the drop in the long position's value.

Bank of Nova Scotia Pair Trading

Bank of Nova Pair Trading Analysis

The ability to find closely correlated positions to Bank of Nova Scotia could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of Nova Scotia when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of Nova Scotia - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of Nova to buy it.
The correlation of Bank of Nova Scotia is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of Nova Scotia moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of Nova Scotia moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of Nova Scotia can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Bank of Nova Scotia is a strong investment it is important to analyze Bank of Nova Scotia's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Bank of Nova Scotia's future performance. For an informed investment choice regarding Bank Stock, refer to the following important reports:
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 tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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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Is Bank of Nova Scotia's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Bank of Nova Scotia. If investors know Bank will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bank of Nova Scotia listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.246
Dividend Share
4.21
Earnings Share
4.44
Revenue Per Share
24.448
Quarterly Revenue Growth
0.02
The market value of Bank of Nova Scotia is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of Nova Scotia's value that differs from its market value or its book value, called intrinsic value, which is Bank of Nova Scotia's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bank of Nova Scotia's market value can be influenced by many factors that don't directly affect Bank of Nova Scotia's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Bank of Nova Scotia's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of Nova Scotia is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of Nova Scotia's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.