Vecima Net Interest Income from 2010 to 2026
| VCM Stock | CAD 10.00 0.09 0.91% |
Net Interest Income | First Reported 2019-03-31 | Previous Quarter -3.2 M | Current Value -2.9 M | Quarterly Volatility 1.2 M |
Check Vecima Networks financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Vecima Networks' main balance sheet or income statement drivers, such as Interest Expense of 12.1 M, Selling General Administrative of 19.4 M or Total Revenue of 345.2 M, as well as many indicators such as Price To Sales Ratio of 0.86, Dividend Yield of 0.0387 or PTB Ratio of 1.96. Vecima financial statements analysis is a perfect complement when working with Vecima Networks Valuation or Volatility modules.
Vecima | Net Interest Income |
Latest Vecima Networks' Net Interest Income Growth Pattern
Below is the plot of the Net Interest Income of Vecima Networks over the last few years. It is the difference between the revenue generated from a bank's interest-bearing assets and the expenses associated with paying its interest-bearing liabilities. Vecima Networks' Net Interest Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Vecima Networks' overall financial position and show how it may be relating to other accounts over time.
| Net Interest Income | 10 Years Trend |
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Net Interest Income |
| Timeline |
Vecima Net Interest Income Regression Statistics
| Arithmetic Mean | (1,658,882) | |
| Geometric Mean | 1,293,831 | |
| Coefficient Of Variation | (248.61) | |
| Mean Deviation | 3,382,304 | |
| Median | 878,000 | |
| Standard Deviation | 4,124,117 | |
| Sample Variance | 17T | |
| Range | 11.1M | |
| R-Value | (0.81) | |
| Mean Square Error | 6.3T | |
| R-Squared | 0.65 | |
| Significance | 0.00009 | |
| Slope | (659,115) | |
| Total Sum of Squares | 272.1T |
Vecima Net Interest Income History
About Vecima Networks Financial Statements
Vecima Networks investors utilize fundamental indicators, such as Net Interest Income, to predict how Vecima Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Net Interest Income | -9 M | -8.6 M |
Pair Trading with Vecima Networks
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 Vecima Networks 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 Vecima Networks will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Vecima Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vecima Networks 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 Vecima Networks - 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 Vecima Networks to buy it.
The correlation of Vecima Networks 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 Vecima Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vecima Networks 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 Vecima Networks 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.Other Information on Investing in Vecima Stock
Vecima Networks financial ratios help investors to determine whether Vecima Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Vecima with respect to the benefits of owning Vecima Networks security.