Amg Managers Loomis Fund Market Value
| MGFIX Fund | USD 21.80 0.06 0.28% |
| Symbol | Amg |
Amg Managers '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 Managers' 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 Managers.
| 12/07/2023 |
| 12/01/2024 |
If you would invest 0.00 in Amg Managers on December 7, 2023 and sell it all today you would earn a total of 0.00 from holding Amg Managers Loomis or generate 0.0% return on investment in Amg Managers over 360 days. Amg Managers is related to or competes with Amg Southernsun, Amg Southernsun, Amg Fq, Amg Southernsun, Amg Managers, Amg Gwk, and Amg Gwk. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus the amount of any borrowings fo... More
Amg Managers 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 Managers' 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 Managers Loomis upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.52) | |||
| Maximum Drawdown | 1.34 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 0.411 |
Amg Managers Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amg Managers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amg Managers' standard deviation. In reality, there are many statistical measures that can use Amg Managers historical prices to predict the future Amg Managers' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | 0.7961 |
Amg Managers Loomis Backtested Returns
Amg Managers Loomis secures Sharpe Ratio (or Efficiency) of -0.0575, which signifies that the fund had a -0.0575% return per unit of standard deviation over the last 3 months. Amg Managers Loomis exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Amg Managers' risk adjusted performance of (0.06), and Mean Deviation of 0.2151 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of -0.032, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Amg Managers are expected to decrease at a much lower rate. During the bear market, Amg Managers is likely to outperform the market.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Amg Managers Loomis has insignificant reverse predictability. Overlapping area represents the amount of predictability between Amg Managers time series from 7th of December 2023 to 4th of June 2024 and 4th of June 2024 to 1st of December 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 Amg Managers Loomis price movement. The serial correlation of -0.2 indicates that over 20.0% of current Amg Managers price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Amg Managers Loomis lagged returns against current returns
Autocorrelation, which is Amg Managers mutual fund'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 Amg Managers' mutual fund expected returns. We can calculate the autocorrelation of Amg Managers returns to help us make a trade decision. For example, suppose you find that Amg Managers has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Amg Managers 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 Amg Managers mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amg Managers mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amg Managers mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Amg Managers Lagged Returns
When evaluating Amg Managers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amg Managers mutual fund have on its future price. Amg Managers 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, Amg Managers autocorrelation shows the relationship between Amg Managers mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Amg Managers Loomis.
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.Other Information on Investing in Amg Mutual Fund
Amg Managers 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 Managers security.
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