Amark Preci Stock Market Value
| AMRK Stock | USD 36.76 0.74 1.97% |
| Symbol | Amark |
Amark Preci Price To Book Ratio
Is Amark Preci's 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 Amark Preci. If investors know Amark 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 Amark Preci listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.58) | Dividend Share 1.2 | Earnings Share 4.5 | Revenue Per Share 429.366 | Quarterly Revenue Growth 0.066 |
The market value of Amark Preci is measured differently than its book value, which is the value of Amark that is recorded on the company's balance sheet. Investors also form their own opinion of Amark Preci's value that differs from its market value or its book value, called intrinsic value, which is Amark Preci's 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 Amark Preci's market value can be influenced by many factors that don't directly affect Amark Preci's 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 Amark Preci's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amark Preci is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amark Preci's 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.
Amark Preci '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 Amark Preci's 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 Amark Preci.
| 04/29/2022 |
| 04/18/2024 |
If you would invest 0.00 in Amark Preci on April 29, 2022 and sell it all today you would earn a total of 0.00 from holding Amark Preci or generate 0.0% return on investment in Amark Preci over 720 days. Amark Preci is related to or competes with PJT Partners, Scully Royalty, Piper Sandler, Evercore Partners, Moelis, Houlihan Lokey, and Stifel Financial. A-Mark Precious Metals, Inc., together with its subsidiaries, operates as a precious metals trading company More
Amark Preci 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 Amark Preci's 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 Amark Preci upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.34 | |||
| Information Ratio | 0.1112 | |||
| Maximum Drawdown | 23.24 | |||
| Value At Risk | (3.52) | |||
| Potential Upside | 5.43 |
Amark Preci Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amark Preci's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amark Preci's standard deviation. In reality, there are many statistical measures that can use Amark Preci historical prices to predict the future Amark Preci's volatility.| Risk Adjusted Performance | 0.0883 | |||
| Jensen Alpha | 0.3632 | |||
| Total Risk Alpha | 0.1818 | |||
| Sortino Ratio | 0.1661 | |||
| Treynor Ratio | 0.2799 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amark Preci's 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.
Amark Preci Backtested Returns
Amark Preci appears to be very steady, given 3 months investment horizon. Amark Preci secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15% return per unit of standard deviation over the last 3 months. By analyzing Amark Preci's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please makes use of Amark Preci's risk adjusted performance of 0.0883, and Mean Deviation of 2.34 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Amark Preci holds a performance score of 11. The firm shows a Beta (market volatility) of 1.55, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Amark Preci will likely underperform. Please check Amark Preci's coefficient of variation, semi variance, price action indicator, as well as the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Amark Preci's price patterns will revert.
Auto-correlation | -0.09 |
Very weak reverse predictability
Amark Preci has very weak reverse predictability. Overlapping area represents the amount of predictability between Amark Preci time series from 29th of April 2022 to 24th of April 2023 and 24th of April 2023 to 18th of April 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 Amark Preci price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Amark Preci price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 16.51 |
Amark Preci lagged returns against current returns
Autocorrelation, which is Amark Preci 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 Amark Preci's stock expected returns. We can calculate the autocorrelation of Amark Preci returns to help us make a trade decision. For example, suppose you find that Amark Preci 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 |
Amark Preci 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 Amark Preci stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amark Preci stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amark Preci stock over time.
Current vs Lagged Prices |
| Timeline |
Amark Preci Lagged Returns
When evaluating Amark Preci's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amark Preci stock have on its future price. Amark Preci 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, Amark Preci autocorrelation shows the relationship between Amark Preci stock current value and its past values and can show if there is a momentum factor associated with investing in Amark Preci.
Regressed Prices |
| Timeline |
Pair Trading with Amark Preci
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 Amark Preci 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 Amark Preci will appreciate offsetting losses from the drop in the long position's value.Moving together with Amark Stock
| 0.68 | DIST | Distoken Acquisition | PairCorr |
Moving against Amark Stock
| 0.6 | PX | P10 Inc Financial Report 20th of May 2024 | PairCorr |
| 0.52 | AC | Associated Capital | PairCorr |
| 0.43 | PT | Pintec Technology Report 10th of May 2024 | PairCorr |
The ability to find closely correlated positions to Amark Preci could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amark Preci 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 Amark Preci - 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 Amark Preci to buy it.
The correlation of Amark Preci 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 Amark Preci moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amark Preci 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 Amark Preci 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 Amark Preci Correlation, Amark Preci Volatility and Amark Preci Alpha and Beta module to complement your research on Amark Preci. For more information on how to buy Amark Stock please use our How to buy in Amark Stock guide.You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Complementary Tools for Amark Stock analysis
When running Amark Preci's price analysis, check to measure Amark Preci's 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 Amark Preci is operating at the current time. Most of Amark Preci's value examination focuses on studying past and present price action to predict the probability of Amark Preci's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Amark Preci's price. Additionally, you may evaluate how the addition of Amark Preci to your portfolios can decrease your overall portfolio volatility.
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Amark Preci 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.