GoldMining Net Income From Continuing Ops from 2010 to 2026
| GOLD Stock | CAD 2.15 0.01 0.47% |
Net Loss | First Reported 2018-08-31 | Previous Quarter -2.6 M | Current Value -103 K | Quarterly Volatility 20.3 M |
Check GoldMining financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among GoldMining's main balance sheet or income statement drivers, such as Other Operating Expenses of 30.9 M, Cost Of Revenue of 258.2 K or Total Operating Expenses of 30.9 M, as well as many indicators such as Price To Sales Ratio of 0.0, Dividend Yield of 0.0 or PTB Ratio of 3.07. GoldMining financial statements analysis is a perfect complement when working with GoldMining Valuation or Volatility modules.
GoldMining | Net Income From Continuing Ops |
Latest GoldMining's Net Income From Continuing Ops Growth Pattern
Below is the plot of the Net Income From Continuing Ops of GoldMining over the last few years. It is GoldMining's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in GoldMining's overall financial position and show how it may be relating to other accounts over time.
| Net Income From Continuing Ops | 10 Years Trend |
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Net Income From Continuing Ops |
| Timeline |
GoldMining Net Income From Continuing Ops Regression Statistics
| Arithmetic Mean | (6,258,499) | |
| Geometric Mean | 11,123,214 | |
| Coefficient Of Variation | (464.66) | |
| Mean Deviation | 13,729,432 | |
| Median | (7,536,983) | |
| Standard Deviation | 29,080,730 | |
| Sample Variance | 845.7T | |
| Range | 130.6M | |
| R-Value | (0.20) | |
| Mean Square Error | 867.3T | |
| R-Squared | 0.04 | |
| Significance | 0.45 | |
| Slope | (1,130,257) | |
| Total Sum of Squares | 13531T |
GoldMining Net Income From Continuing Ops History
About GoldMining Financial Statements
GoldMining investors utilize fundamental indicators, such as Net Income From Continuing Ops, to predict how GoldMining 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 Loss | -24.6 M | -23.4 M |
Pair Trading with GoldMining
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 GoldMining 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 GoldMining will appreciate offsetting losses from the drop in the long position's value.Moving against GoldMining Stock
| 0.43 | CGC | Aris Gold | PairCorr |
| 0.39 | CM | Canadian Imperial Bank | PairCorr |
| 0.34 | VM | Voyageur Pharmaceuticals | PairCorr |
| 0.31 | AMZN | Amazon CDR | PairCorr |
The ability to find closely correlated positions to GoldMining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GoldMining 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 GoldMining - 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 GoldMining to buy it.
The correlation of GoldMining 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 GoldMining moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GoldMining 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 GoldMining 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 the analysis of GoldMining Correlation against competitors. To learn how to invest in GoldMining Stock, please use our How to Invest in GoldMining guide.You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.