Amg Managers Cadence Fund Market Value

MECIX Fund  USD 46.52  0.16  0.34%   
Amg Managers' market value is the price at which a share of Amg Managers trades on a public exchange. It measures the collective expectations of Amg Managers Cadence investors about its performance. Amg Managers is trading at 46.52 as of the 21st of December 2024; that is 0.34 percent decrease since the beginning of the trading day. The fund's open price was 46.68.
With this module, you can estimate the performance of a buy and hold strategy of Amg Managers Cadence and determine expected loss or profit from investing in Amg Managers over a given investment horizon. Check out Amg Managers Correlation, Amg Managers Volatility and Amg Managers Alpha and Beta module to complement your research on Amg Managers.
Symbol

Please note, there is a significant difference between Amg Managers' value and its price as these two are different measures arrived at by different means. Investors typically determine if Amg Managers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amg Managers' 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.

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.
0.00
11/21/2024
No Change 0.00  0.0 
In 30 days
12/21/2024
0.00
If you would invest  0.00  in Amg Managers on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding Amg Managers Cadence or generate 0.0% return on investment in Amg Managers over 30 days. Amg Managers is related to or competes with Meridian Trarian, Mfs International, Mfs Global, and Mfs New. The fund seeks to achieve its investment objective by investing primarily in a portfolio of equity securities issued by ... 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 Cadence upside and downside potential and time the market with a certain degree of confidence.

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.
Hype
Prediction
LowEstimatedHigh
45.7246.4547.18
Details
Intrinsic
Valuation
LowRealHigh
41.8747.2748.00
Details
Naive
Forecast
LowNextHigh
44.1044.8445.57
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
46.4548.4950.53
Details

Amg Managers Cadence Backtested Returns

Amg Managers Cadence secures Sharpe Ratio (or Efficiency) of -0.23, which signifies that the fund had a -0.23% return per unit of standard deviation over the last 3 months. Amg Managers Cadence exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Amg Managers' risk adjusted performance of (0.15), and Mean Deviation of 0.5884 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Amg Managers' returns are expected to increase less than the market. However, during the bear market, the loss of holding Amg Managers is expected to be smaller as well.

Auto-correlation

    
  -0.99  

Near perfect reversele predictability

Amg Managers Cadence has near perfect reversele predictability. Overlapping area represents the amount of predictability between Amg Managers time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st 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 Cadence price movement. The serial correlation of -0.99 indicates that 99.0% of current Amg Managers price fluctuation can be explain by its past prices.
Correlation Coefficient-0.99
Spearman Rank Test-0.85
Residual Average0.0
Price Variance1.49

Amg Managers Cadence 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 Cadence.
   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.
Money Managers
Screen money managers from public funds and ETFs managed around the world
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets