Golden Minerals Stock Price To Earnings To Growth
AUMN Stock | CAD 0.14 0.01 6.67% |
Golden Minerals fundamentals help investors to digest information that contributes to Golden Minerals' financial success or failures. It also enables traders to predict the movement of Golden Stock. The fundamental analysis module provides a way to measure Golden Minerals' 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 Golden Minerals stock.
Golden | Price To Earnings To Growth |
Golden Minerals Company Price To Earnings To Growth Analysis
Golden Minerals' PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.
Golden Price To Earnings To Growth Driver Correlations
Understanding the fundamental principles of building solid financial models for Golden Minerals is extremely important. It helps to project a fair market value of Golden Stock properly, considering its historical fundamentals such as Price To Earnings To Growth. Since Golden Minerals' 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 Golden Minerals' 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 Golden Minerals' interrelated accounts and indicators.
Click cells to compare fundamentals
Generally speaking, PEG ratio is a 'quick and dirty' way to measure how the current price of a firm's stock relates to its earnings and growth rate. The main benefit of using PEG ratio is that investors can compare the relative valuations of companies within different industries without analyzing their P/E ratios.
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Golden Price Earnings To Growth Ratio
Price Earnings To Growth Ratio |
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Based on the latest financial disclosure, Golden Minerals has a Price To Earnings To Growth of 0.0 times. This is 100.0% lower than that of the Metals & Mining sector and 100.0% lower than that of the Materials industry. The price to earnings to growth for all Canada stocks is 100.0% higher than that of the company.
Golden Minerals Current Valuation Drivers
We derive many important indicators used in calculating different scores of Golden Minerals from analyzing Golden Minerals' financial statements. These drivers represent accounts that assess Golden Minerals' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Golden Minerals' important valuation drivers and their relationship over time.
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Market Cap | 39.1M | 20.6M | 56.6M | 45.4M | 4.4M | 4.2M | |
Enterprise Value | 35.8M | 17.3M | 44.7M | 41.8M | 788.8K | 749.4K |
Golden Fundamentals
Return On Equity | -4.95 | ||||
Return On Asset | -0.44 | ||||
Operating Margin | (2.67) % | ||||
Current Valuation | (471.64 K) | ||||
Shares Outstanding | 15.05 M | ||||
Shares Owned By Insiders | 3.38 % | ||||
Shares Owned By Institutions | 8.78 % | ||||
Number Of Shares Shorted | 2.53 K | ||||
Price To Book | 9.48 X | ||||
Price To Sales | 0.72 X | ||||
Revenue | 12 M | ||||
Gross Profit | 11.94 M | ||||
EBITDA | (8.59 M) | ||||
Net Income | (9.23 M) | ||||
Cash And Equivalents | 2.01 M | ||||
Cash Per Share | 0.02 X | ||||
Total Debt | 133 K | ||||
Debt To Equity | 0.70 % | ||||
Current Ratio | 1.09 X | ||||
Book Value Per Share | 0.36 X | ||||
Cash Flow From Operations | (9.91 M) | ||||
Short Ratio | 0.16 X | ||||
Earnings Per Share | (0.76) X | ||||
Target Price | 0.83 | ||||
Number Of Employees | 194 | ||||
Beta | 0.23 | ||||
Market Capitalization | 2.03 M | ||||
Total Asset | 14.91 M | ||||
Retained Earnings | (547.19 M) | ||||
Working Capital | 3.04 M | ||||
Net Asset | 14.91 M |
About Golden Minerals Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Golden Minerals's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Golden Minerals using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Golden Minerals 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 Golden Minerals
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 Golden Minerals 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 Golden Minerals will appreciate offsetting losses from the drop in the long position's value.Moving together with Golden Stock
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0.72 | FDY | Faraday Copper Corp | PairCorr |
Moving against Golden Stock
0.74 | QNC | Quantum Numbers | PairCorr |
0.71 | DBO | D Box Technologies | PairCorr |
0.68 | OM | Osisko Metals | PairCorr |
0.67 | AQN-PD | Algonquin Power Utilities | PairCorr |
0.66 | ENB-PH | Enbridge H Cum | PairCorr |
The ability to find closely correlated positions to Golden Minerals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Golden Minerals 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 Golden Minerals - 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 Golden Minerals to buy it.
The correlation of Golden Minerals 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 Golden Minerals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Golden Minerals 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 Golden Minerals 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 Golden Minerals. 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. To learn how to invest in Golden Stock, please use our How to Invest in Golden Minerals guide.You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.