Toronto Dominion Bank Stock Z Score
| TD Stock | CAD 78.11 0.12 0.15% |
Toronto | Z Score |
Toronto Dominion Bank Company Z Score Analysis
Toronto Dominion's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| |||||||
| |||||||
| |||||||
| |||||||
|
Toronto Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Toronto Dominion is extremely important. It helps to project a fair market value of Toronto Stock properly, considering its historical fundamentals such as Z Score. Since Toronto Dominion'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 Toronto Dominion'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 Toronto Dominion's interrelated accounts and indicators.
Click cells to compare fundamentals
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
| Competition |
Based on the company's disclosures, Toronto Dominion Bank has a Z Score 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 z score for all Canada stocks is 100.0% higher than that of the company.
Did you try this?
Run Premium Stories Now
Premium StoriesFollow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope |
| All Next | Launch Module |
Toronto Dominion 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, Toronto Dominion's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Toronto Dominion's managers, analysts, and investors.Environment Score | Governance Score | Social Score |
Toronto Fundamentals
| Return On Equity | 0.0733 | |||
| Return On Asset | 0.0043 | |||
| Profit Margin | 0.16 % | |||
| Operating Margin | 0.05 % | |||
| Current Valuation | 47.27 B | |||
| Shares Outstanding | 1.75 B | |||
| Shares Owned By Insiders | 0.08 % | |||
| Shares Owned By Institutions | 59.51 % | |||
| Number Of Shares Shorted | 49.25 M | |||
| Price To Earning | 11.70 X | |||
| Price To Book | 1.36 X | |||
| Price To Sales | 2.61 X | |||
| Revenue | 52.93 B | |||
| Gross Profit | 47.74 B | |||
| EBITDA | 15.86 B | |||
| Net Income | 10.78 B | |||
| Cash And Equivalents | 542.82 B | |||
| Cash Per Share | 299.41 X | |||
| Total Debt | 411.43 B | |||
| Debt To Equity | 0.15 % | |||
| Book Value Per Share | 60.85 X | |||
| Cash Flow From Operations | (65.3 B) | |||
| Short Ratio | 3.96 X | |||
| Earnings Per Share | 4.32 X | |||
| Price To Earnings To Growth | 1.09 X | |||
| Target Price | 86.93 | |||
| Number Of Employees | 102.19 K | |||
| Beta | 0.82 | |||
| Market Capitalization | 136.74 B | |||
| Total Asset | 1.96 T | |||
| Retained Earnings | 73.04 B | |||
| Annual Yield | 0.05 % | |||
| Five Year Return | 3.72 % | |||
| Net Asset | 1.96 T | |||
| Last Dividend Paid | 4.02 |
About Toronto Dominion Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Toronto Dominion Bank's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Toronto Dominion using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Toronto Dominion Bank 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 Toronto Dominion
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 Toronto Dominion 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 Toronto Dominion will appreciate offsetting losses from the drop in the long position's value.Moving against Toronto Stock
| 0.54 | GS | GOLDMAN SACHS CDR | PairCorr |
| 0.52 | FFH-PD | Fairfax Financial | PairCorr |
| 0.46 | FFH-PF | Fairfax Financial | PairCorr |
| 0.43 | FFH-PH | Fairfax Financial | PairCorr |
| 0.43 | FFH-PE | Fairfax Financial | PairCorr |
The ability to find closely correlated positions to Toronto Dominion could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Toronto Dominion 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 Toronto Dominion - 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 Toronto Dominion Bank to buy it.
The correlation of Toronto Dominion 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 Toronto Dominion moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Toronto Dominion Bank 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 Toronto Dominion 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 World Market Map to better understand how to build diversified portfolios, which includes a position in Toronto Dominion Bank. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.