Bank Of Nova Stock Working Capital
| BNS Stock | CAD 79.09 0.10 0.13% |
Bank of Nova fundamentals help investors to digest information that contributes to Bank of Nova Scotia's financial success or failures. It also enables traders to predict the movement of Bank Stock. The fundamental analysis module provides a way to measure Bank of Nova Scotia's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Bank of Nova Scotia stock.
| Last Reported | Projected for Next Year | ||
| Change In Working Capital | 17.7 B | 18.6 B |
Bank | Working Capital |
Bank of Nova Company Working Capital Analysis
Bank of Nova Scotia's Working Capital is a measure of company efficiency and operating liquidity. The working capital is usually calculated by subtracting Current Liabilities from Current Assets. It is an important indicator of the firm ability to continue its normal operations without additional debt obligations. .
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Working Capital | = | Current Assets | - | Current Liabilities |
Bank Working Capital Driver Correlations
Understanding the fundamental principles of building solid financial models for Bank of Nova Scotia is extremely important. It helps to project a fair market value of Bank Stock properly, considering its historical fundamentals such as Working Capital. Since Bank of Nova Scotia's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Bank of Nova Scotia's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Bank of Nova Scotia's interrelated accounts and indicators.
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Working Capital can be positive or negative, depending on how much of current debt the company is carrying on its balance sheet. In general terms, companies that have a lot of working capital will experience more growth in the near future since they can expand and improve their operations using existing resources. On the other hand, companies with small or negative working capital may lack the funds necessary for growth or future operation. Working Capital also shows if the company has sufficient liquid resources to satisfy short-term liabilities and operational expenses.
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Bank Net Invested Capital
Net Invested Capital |
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In accordance with the company's disclosures, Bank of Nova has a Working Capital of 0.0. This is 100.0% lower than that of the Banks sector and about the same as Financials (which currently averages 0.0) industry. The working capital for all Canada stocks is 100.0% higher than that of the company.
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Bank of Nova Scotia ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Bank of Nova Scotia's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Bank of Nova Scotia's managers, analysts, and investors.Environment Score | Governance Score | Social Score |
Bank Fundamentals
| Return On Equity | 0.0949 | ||||
| Return On Asset | 0.0055 | ||||
| Profit Margin | 0.25 % | ||||
| Operating Margin | 0.32 % | ||||
| Current Valuation | (49.82 B) | ||||
| Shares Outstanding | 1.24 B | ||||
| Shares Owned By Insiders | 0.03 % | ||||
| Shares Owned By Institutions | 51.51 % | ||||
| Number Of Shares Shorted | 36.09 M | ||||
| Price To Earning | 13.40 X | ||||
| Price To Book | 1.34 X | ||||
| Price To Sales | 3.30 X | ||||
| Revenue | 31.79 B | ||||
| Gross Profit | 29.8 B | ||||
| EBITDA | 11.46 B | ||||
| Net Income | 7.41 B | ||||
| Cash And Equivalents | 383.37 B | ||||
| Cash Per Share | 321.37 X | ||||
| Total Debt | 313.81 B | ||||
| Debt To Equity | 0.14 % | ||||
| Book Value Per Share | 65.87 X | ||||
| Cash Flow From Operations | 31.72 B | ||||
| Short Ratio | 8.69 X | ||||
| Earnings Per Share | 5.71 X | ||||
| Price To Earnings To Growth | 1.35 X | ||||
| Target Price | 78.36 | ||||
| Number Of Employees | 89.24 K | ||||
| Beta | 0.98 | ||||
| Market Capitalization | 97.74 B | ||||
| Total Asset | 1.41 T | ||||
| Retained Earnings | 55.75 B | ||||
| Annual Yield | 0.05 % | ||||
| Five Year Return | 4.81 % | ||||
| Net Asset | 1.41 T | ||||
| Last Dividend Paid | 4.24 |
About Bank of Nova Scotia Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank of Nova's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of Nova Scotia using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank of Nova based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Bank of Nova Scotia
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.Moving together with Bank Stock
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.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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.