Active M Emerging Fund Market Value

NMMEX Fund  USD 17.14  0.09  0.53%   
Active M's market value is the price at which a share of Active M trades on a public exchange. It measures the collective expectations of Active M Emerging investors about its performance. Active M is trading at 17.14 as of the 20th of July 2025; that is 0.53 percent increase since the beginning of the trading day. The fund's open price was 17.05.
With this module, you can estimate the performance of a buy and hold strategy of Active M Emerging and determine expected loss or profit from investing in Active M over a given investment horizon. Check out Active M Correlation, Active M Volatility and Active M Alpha and Beta module to complement your research on Active M.
Symbol

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

Active M '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 Active M'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 Active M.
0.00
06/20/2025
No Change 0.00  0.0 
In 31 days
07/20/2025
0.00
If you would invest  0.00  in Active M on June 20, 2025 and sell it all today you would earn a total of 0.00 from holding Active M Emerging or generate 0.0% return on investment in Active M over 30 days. Active M is related to or competes with Invesco Technology, Technology Ultrasector, Pgim Jennison, Janus Global, Hennessy Technology, Mfs Technology, and Goldman Sachs. The fund will invest, under normal circumstances, at least 80 percent of its net assets in equity securities of issuers ... More

Active M 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 Active M'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 Active M Emerging upside and downside potential and time the market with a certain degree of confidence.

Active M Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Active M's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Active M's standard deviation. In reality, there are many statistical measures that can use Active M historical prices to predict the future Active M's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Active M'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.
Hype
Prediction
LowEstimatedHigh
16.5117.1517.79
Details
Intrinsic
Valuation
LowRealHigh
16.2416.8817.52
Details
Naive
Forecast
LowNextHigh
16.3817.0217.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
16.6616.9717.29
Details

Active M Emerging Backtested Returns

Active M appears to be very steady, given 3 months investment horizon. Active M Emerging secures Sharpe Ratio (or Efficiency) of 0.4, which signifies that the fund had a 0.4 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Active M Emerging, which you can use to evaluate the volatility of the entity. Please makes use of Active M's Mean Deviation of 0.4734, risk adjusted performance of 0.3611, and Coefficient Of Variation of 255.68 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.41, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Active M's returns are expected to increase less than the market. However, during the bear market, the loss of holding Active M is expected to be smaller as well.

Auto-correlation

    
  0.29  

Poor predictability

Active M Emerging has poor predictability. Overlapping area represents the amount of predictability between Active M time series from 20th of June 2025 to 5th of July 2025 and 5th of July 2025 to 20th of July 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 Active M Emerging price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Active M price fluctuation can be explain by its past prices.
Correlation Coefficient0.29
Spearman Rank Test0.32
Residual Average0.0
Price Variance0.01

Active M Emerging lagged returns against current returns

Autocorrelation, which is Active M 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 Active M's mutual fund expected returns. We can calculate the autocorrelation of Active M returns to help us make a trade decision. For example, suppose you find that Active M 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  

Active M 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 Active M mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Active M mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Active M mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Active M Lagged Returns

When evaluating Active M's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Active M mutual fund have on its future price. Active M 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, Active M autocorrelation shows the relationship between Active M mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Active M Emerging.
   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 Active Mutual Fund

Active M financial ratios help investors to determine whether Active 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 Active with respect to the benefits of owning Active M security.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges