Argent Mid Cap Etf Market Value
| AMID Etf | USD 33.90 0.21 0.62% |
| Symbol | Argent |
The market value of Argent Mid Cap is measured differently than its book value, which is the value of Argent that is recorded on the company's balance sheet. Investors also form their own opinion of Argent Mid's value that differs from its market value or its book value, called intrinsic value, which is Argent Mid'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 Argent Mid's market value can be influenced by many factors that don't directly affect Argent Mid'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 Argent Mid's value and its price as these two are different measures arrived at by different means. Investors typically determine if Argent Mid is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Argent Mid'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.
Argent Mid '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 Argent Mid's etf 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 Argent Mid.
| 01/05/2025 |
| 12/31/2025 |
If you would invest 0.00 in Argent Mid on January 5, 2025 and sell it all today you would earn a total of 0.00 from holding Argent Mid Cap or generate 0.0% return on investment in Argent Mid over 360 days. Argent Mid is related to or competes with Simplify Equity, Future Fund, AIM ETF, KraneShares MSCI, Pacer Lunt, Invesco SP, and Invesco Exchange. The fund is an actively managed ETF that seeks to achieve its investment objective by investing in the equity securities... More
Argent Mid 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 Argent Mid's etf 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 Argent Mid Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.02 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 3.89 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.57 |
Argent Mid Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Argent Mid's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Argent Mid's standard deviation. In reality, there are many statistical measures that can use Argent Mid historical prices to predict the future Argent Mid's volatility.| Risk Adjusted Performance | 0.0088 | |||
| Jensen Alpha | 9.0E-4 | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0466 |
Argent Mid Cap Backtested Returns
Argent Mid Cap secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the etf had a close to zero % return per unit of standard deviation over the last 3 months. Argent Mid Cap exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Argent Mid's risk adjusted performance of 0.0088, and Mean Deviation of 0.7338 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.0351, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Argent Mid are expected to decrease at a much lower rate. During the bear market, Argent Mid is likely to outperform the market.
Auto-correlation | -0.23 |
Weak reverse predictability
Argent Mid Cap has weak reverse predictability. Overlapping area represents the amount of predictability between Argent Mid time series from 5th of January 2025 to 4th of July 2025 and 4th of July 2025 to 31st of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Argent Mid Cap price movement. The serial correlation of -0.23 indicates that over 23.0% of current Argent Mid price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Argent Mid Cap lagged returns against current returns
Autocorrelation, which is Argent Mid etf'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 Argent Mid's etf expected returns. We can calculate the autocorrelation of Argent Mid returns to help us make a trade decision. For example, suppose you find that Argent Mid has exhibited high autocorrelation historically, and you observe that the etf 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 |
Argent Mid 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 Argent Mid etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Argent Mid etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Argent Mid etf over time.
Current vs Lagged Prices |
| Timeline |
Argent Mid Lagged Returns
When evaluating Argent Mid's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Argent Mid etf have on its future price. Argent Mid 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, Argent Mid autocorrelation shows the relationship between Argent Mid etf current value and its past values and can show if there is a momentum factor associated with investing in Argent Mid Cap.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Argent Mid Cap is a strong investment it is important to analyze Argent Mid's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Argent Mid's future performance. For an informed investment choice regarding Argent Etf, refer to the following important reports:Check out Argent Mid Correlation, Argent Mid Volatility and Argent Mid Alpha and Beta module to complement your research on Argent Mid. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Argent Mid technical etf 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, etf market cycles, or different charting patterns.