Almaden Minerals Stock Market Value
AAU Stock | USD 0.14 0.00 0.00% |
Symbol | Almaden |
Almaden Minerals Price To Book Ratio
Is Almaden Minerals' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Almaden Minerals. If investors know Almaden will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Almaden Minerals listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.07) | Return On Assets (0.94) | Return On Equity (1.66) |
The market value of Almaden Minerals is measured differently than its book value, which is the value of Almaden that is recorded on the company's balance sheet. Investors also form their own opinion of Almaden Minerals' value that differs from its market value or its book value, called intrinsic value, which is Almaden Minerals' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Almaden Minerals' market value can be influenced by many factors that don't directly affect Almaden Minerals' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Almaden Minerals' value and its price as these two are different measures arrived at by different means. Investors typically determine if Almaden Minerals is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Almaden Minerals' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Almaden Minerals 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Almaden Minerals' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Almaden Minerals.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Almaden Minerals on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Almaden Minerals or generate 0.0% return on investment in Almaden Minerals over 30 days. Almaden Minerals is related to or competes with United States, Alcoa Corp, First Majestic, AngloGold Ashanti, Celanese, Dakota Gold, and Ivanhoe Electric. Almaden Minerals Ltd., an exploration stage company, engages in the acquisition, exploration, evaluation, and developmen... More
Almaden Minerals Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Almaden Minerals' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Almaden Minerals upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.11) | |||
Maximum Drawdown | 14.29 |
Almaden Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Almaden Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Almaden Minerals' standard deviation. In reality, there are many statistical measures that can use Almaden Minerals historical prices to predict the future Almaden Minerals' volatility.Risk Adjusted Performance | (0.02) | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.53) | |||
Treynor Ratio | 0.1986 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Almaden Minerals' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Almaden Minerals Backtested Returns
We consider Almaden Minerals abnormally volatile. Almaden Minerals secures Sharpe Ratio (or Efficiency) of 0.0066, which signifies that the company had a 0.0066% return per unit of risk over the last 3 months. We have found seventeen technical indicators for Almaden Minerals, which you can use to evaluate the volatility of the firm. Please confirm Almaden Minerals' Mean Deviation of 0.6127, standard deviation of 1.96, and Risk Adjusted Performance of (0.02) to double-check if the risk estimate we provide is consistent with the expected return of 0.009%. The firm shows a Beta (market volatility) of -0.48, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Almaden Minerals are expected to decrease at a much lower rate. During the bear market, Almaden Minerals is likely to outperform the market. Almaden Minerals right now shows a risk of 1.36%. Please confirm Almaden Minerals standard deviation, skewness, as well as the relationship between the Skewness and relative strength index , to decide if Almaden Minerals will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Almaden Minerals has no correlation between past and present. Overlapping area represents the amount of predictability between Almaden Minerals time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Almaden Minerals price movement. The serial correlation of 0.0 indicates that just 0.0% of current Almaden Minerals price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Almaden Minerals lagged returns against current returns
Autocorrelation, which is Almaden Minerals stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Almaden Minerals' stock expected returns. We can calculate the autocorrelation of Almaden Minerals returns to help us make a trade decision. For example, suppose you find that Almaden Minerals has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Almaden Minerals regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Almaden Minerals stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Almaden Minerals stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Almaden Minerals stock over time.
Current vs Lagged Prices |
Timeline |
Almaden Minerals Lagged Returns
When evaluating Almaden Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Almaden Minerals stock have on its future price. Almaden Minerals autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Almaden Minerals autocorrelation shows the relationship between Almaden Minerals stock current value and its past values and can show if there is a momentum factor associated with investing in Almaden Minerals.
Regressed Prices |
Timeline |
Pair Trading with Almaden 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 Almaden 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 Almaden Minerals will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Almaden 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 Almaden 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 Almaden 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 Almaden Minerals to buy it.
The correlation of Almaden 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 Almaden Minerals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Almaden 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 Almaden 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 Almaden Minerals Correlation, Almaden Minerals Volatility and Almaden Minerals Alpha and Beta module to complement your research on Almaden Minerals. For more information on how to buy Almaden Stock please use our How to Invest in Almaden Minerals guide.Note that the Almaden Minerals information on this page should be used as a complementary analysis to other Almaden Minerals' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for Almaden Stock analysis
When running Almaden Minerals' price analysis, check to measure Almaden Minerals' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Almaden Minerals is operating at the current time. Most of Almaden Minerals' value examination focuses on studying past and present price action to predict the probability of Almaden Minerals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Almaden Minerals' price. Additionally, you may evaluate how the addition of Almaden Minerals to your portfolios can decrease your overall portfolio volatility.
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Almaden Minerals technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.