Pro Blend Maximum Term Fund Market Value

MNHRX Fund  USD 27.77  0.14  0.51%   
Pro-blend(r) Maximum's market value is the price at which a share of Pro-blend(r) Maximum trades on a public exchange. It measures the collective expectations of Pro Blend Maximum Term investors about its performance. Pro-blend(r) Maximum is trading at 27.77 as of the 8th of December 2024; that is 0.51% increase since the beginning of the trading day. The fund's open price was 27.63.
With this module, you can estimate the performance of a buy and hold strategy of Pro Blend Maximum Term and determine expected loss or profit from investing in Pro-blend(r) Maximum over a given investment horizon. Check out Pro-blend(r) Maximum Correlation, Pro-blend(r) Maximum Volatility and Pro-blend(r) Maximum Alpha and Beta module to complement your research on Pro-blend(r) Maximum.
Symbol

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

Pro-blend(r) Maximum '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 Pro-blend(r) Maximum'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 Pro-blend(r) Maximum.
0.00
09/09/2024
No Change 0.00  0.0 
In 3 months and 1 day
12/08/2024
0.00
If you would invest  0.00  in Pro-blend(r) Maximum on September 9, 2024 and sell it all today you would earn a total of 0.00 from holding Pro Blend Maximum Term or generate 0.0% return on investment in Pro-blend(r) Maximum over 90 days. Pro-blend(r) Maximum is related to or competes with Calvert Moderate, Saat Moderate, Moderately Aggressive, Franklin Moderate, and American Funds. The fund invests primarily in common stocks and in long-term fixed income securities More

Pro-blend(r) Maximum 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 Pro-blend(r) Maximum'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 Pro Blend Maximum Term upside and downside potential and time the market with a certain degree of confidence.

Pro-blend(r) Maximum Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Pro-blend(r) Maximum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pro-blend(r) Maximum's standard deviation. In reality, there are many statistical measures that can use Pro-blend(r) Maximum historical prices to predict the future Pro-blend(r) Maximum's volatility.
Hype
Prediction
LowEstimatedHigh
27.2427.7728.30
Details
Intrinsic
Valuation
LowRealHigh
27.0627.5928.12
Details
Naive
Forecast
LowNextHigh
27.4227.9528.47
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
26.6627.3027.94
Details

Pro-blend(r) Maximum Backtested Returns

At this stage we consider PRO-BLEND(R) Mutual Fund to be very steady. Pro-blend(r) Maximum maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the entity had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Pro-blend(r) Maximum, which you can use to evaluate the volatility of the fund. Please check Pro-blend(r) Maximum's Semi Deviation of 0.4338, risk adjusted performance of 0.1277, and Coefficient Of Variation of 562.37 to confirm if the risk estimate we provide is consistent with the expected return of 0.0939%. The fund holds a Beta of 0.0677, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pro-blend(r) Maximum's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pro-blend(r) Maximum is expected to be smaller as well.

Auto-correlation

    
  0.70  

Good predictability

Pro Blend Maximum Term has good predictability. Overlapping area represents the amount of predictability between Pro-blend(r) Maximum time series from 9th of September 2024 to 24th of October 2024 and 24th of October 2024 to 8th 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 Pro-blend(r) Maximum price movement. The serial correlation of 0.7 indicates that around 70.0% of current Pro-blend(r) Maximum price fluctuation can be explain by its past prices.
Correlation Coefficient0.7
Spearman Rank Test0.51
Residual Average0.0
Price Variance0.17

Pro-blend(r) Maximum lagged returns against current returns

Autocorrelation, which is Pro-blend(r) Maximum 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 Pro-blend(r) Maximum's mutual fund expected returns. We can calculate the autocorrelation of Pro-blend(r) Maximum returns to help us make a trade decision. For example, suppose you find that Pro-blend(r) Maximum 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  

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

Pro-blend(r) Maximum Lagged Returns

When evaluating Pro-blend(r) Maximum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pro-blend(r) Maximum mutual fund have on its future price. Pro-blend(r) Maximum 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, Pro-blend(r) Maximum autocorrelation shows the relationship between Pro-blend(r) Maximum mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pro Blend Maximum Term.
   Regressed Prices   
       Timeline  

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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 PRO-BLEND(R) Mutual Fund

Pro-blend(r) Maximum financial ratios help investors to determine whether PRO-BLEND(R) 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 PRO-BLEND(R) with respect to the benefits of owning Pro-blend(r) Maximum security.
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