Pro Blend Maximum Term Fund Market Value
| MNHCX Fund | USD 26.42 0.16 0.60% |
| Symbol | Pro-blend(r) |
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.
| 04/30/2025 |
| 07/29/2025 |
If you would invest 0.00 in Pro-blend(r) Maximum on April 30, 2025 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 Manning Napier, Manning Napier, Manning Napier, Pro-blend(r) Extended, Pro-blend(r) Extended, Unconstrained Bond, and Pro-blend(r) Conservative. 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.
| Downside Deviation | 0.6883 | |||
| Information Ratio | 0.0094 | |||
| Maximum Drawdown | 4.12 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 1.48 |
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.| Risk Adjusted Performance | 0.2151 | |||
| Jensen Alpha | 0.217 | |||
| Total Risk Alpha | 0.022 | |||
| Sortino Ratio | 0.0096 | |||
| Treynor Ratio | (1.16) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pro-blend(r) Maximum'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.
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 0.21, which implies the entity had a 0.21 % return per unit of risk over the last 3 months. We have found twenty-seven 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 0.3214, risk adjusted performance of 0.2151, and Coefficient Of Variation of 356.21 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The fund holds a Beta of -0.16, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Pro-blend(r) Maximum are expected to decrease at a much lower rate. During the bear market, Pro-blend(r) Maximum is likely to outperform the market.
Auto-correlation | 0.86 |
Very good predictability
Pro Blend Maximum Term has very good predictability. Overlapping area represents the amount of predictability between Pro-blend(r) Maximum time series from 30th of April 2025 to 14th of June 2025 and 14th of June 2025 to 29th 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 Pro-blend(r) Maximum price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current Pro-blend(r) Maximum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
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 |
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 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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