Amg River Road Fund Market Value
| ARDEX Fund | USD 5.42 0.01 0.18% |
| Symbol | Amg |
Amg River '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 Amg River's mutual fund 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 Amg River.
| 12/04/2025 |
| 03/04/2026 |
If you would invest 0.00 in Amg River on December 4, 2025 and sell it all today you would earn a total of 0.00 from holding Amg River Road or generate 0.0% return on investment in Amg River over 90 days. Amg River is related to or competes with Amg River, T Rowe, Innovator ETFs, Simt Mid, Simt Mid, Simt Mid, and Innovator ETFs. Under normal conditions, the fund invests at least 80 percent of its assets in equity securities More
Amg River 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 Amg River's mutual fund 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 Amg River Road upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6094 | |||
| Information Ratio | 0.1618 | |||
| Maximum Drawdown | 28.27 | |||
| Value At Risk | (0.77) | |||
| Potential Upside | 1.05 |
Amg River Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amg River's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amg River's standard deviation. In reality, there are many statistical measures that can use Amg River historical prices to predict the future Amg River's volatility.| Risk Adjusted Performance | 0.1402 | |||
| Jensen Alpha | 0.6039 | |||
| Total Risk Alpha | 0.4184 | |||
| Sortino Ratio | 0.8969 | |||
| Treynor Ratio | (1.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amg River'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.
Amg River March 4, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1402 | |||
| Market Risk Adjusted Performance | (1.03) | |||
| Mean Deviation | 0.9228 | |||
| Downside Deviation | 0.6094 | |||
| Coefficient Of Variation | 569.18 | |||
| Standard Deviation | 3.38 | |||
| Variance | 11.41 | |||
| Information Ratio | 0.1618 | |||
| Jensen Alpha | 0.6039 | |||
| Total Risk Alpha | 0.4184 | |||
| Sortino Ratio | 0.8969 | |||
| Treynor Ratio | (1.04) | |||
| Maximum Drawdown | 28.27 | |||
| Value At Risk | (0.77) | |||
| Potential Upside | 1.05 | |||
| Downside Variance | 0.3713 | |||
| Semi Variance | (0.43) | |||
| Expected Short fall | (1.21) | |||
| Skewness | 7.83 | |||
| Kurtosis | 62.8 |
Amg River Road Backtested Returns
Amg River appears to be moderately volatile, given 3 months investment horizon. Amg River Road secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the fund had a 0.17 % return per unit of standard deviation over the last 3 months. By analyzing Amg River's technical indicators, you can evaluate if the expected return of 0.62% is justified by implied risk. Please makes use of Amg River's risk adjusted performance of 0.1402, and Mean Deviation of 0.9228 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of -0.56, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Amg River are expected to decrease at a much lower rate. During the bear market, Amg River is likely to outperform the market.
Auto-correlation | 0.88 |
Very good predictability
Amg River Road has very good predictability. Overlapping area represents the amount of predictability between Amg River time series from 4th of December 2025 to 18th of January 2026 and 18th of January 2026 to 4th of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Amg River Road price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current Amg River price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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.Other Information on Investing in Amg Mutual Fund
Amg River financial ratios help investors to determine whether Amg Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Amg with respect to the benefits of owning Amg River security.
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |