Multi Manager High Yield Fund Market Value
| NMHYX Fund | USD 8.50 0.01 0.12% |
| Symbol | Multi-manager |
Multi-manager High '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 Multi-manager High'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 Multi-manager High.
| 06/04/2024 |
| 12/01/2024 |
If you would invest 0.00 in Multi-manager High on June 4, 2024 and sell it all today you would earn a total of 0.00 from holding Multi Manager High Yield or generate 0.0% return on investment in Multi-manager High over 180 days. Multi-manager High is related to or competes with Transamerica Financial, Vanguard Financials, Prudential Jennison, Royce Global, and Davis Financial. The fund invests at least 80 percent of its net assets in bonds and other fixed-income securities that are rated below i... More
Multi-manager High 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 Multi-manager High'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 Multi Manager High Yield upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1634 | |||
| Information Ratio | (0.99) | |||
| Maximum Drawdown | 0.4739 | |||
| Value At Risk | (0.23) | |||
| Potential Upside | 0.2358 |
Multi-manager High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Multi-manager High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Multi-manager High's standard deviation. In reality, there are many statistical measures that can use Multi-manager High historical prices to predict the future Multi-manager High's volatility.| Risk Adjusted Performance | 0.0605 | |||
| Jensen Alpha | 0.0018 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.73) | |||
| Treynor Ratio | 0.1634 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Multi-manager High'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.
Multi Manager High Backtested Returns
At this stage we consider Multi-manager Mutual Fund to be very steady. Multi Manager High has Sharpe Ratio of 0.17, which conveys that the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Multi-manager High, which you can use to evaluate the volatility of the fund. Please verify Multi-manager High's Mean Deviation of 0.0918, risk adjusted performance of 0.0605, and Coefficient Of Variation of 672.35 to check out if the risk estimate we provide is consistent with the expected return of 0.0204%. The fund secures a Beta (Market Risk) of 0.049, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Multi-manager High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Multi-manager High is expected to be smaller as well.
Auto-correlation | 0.57 |
Modest predictability
Multi Manager High Yield has modest predictability. Overlapping area represents the amount of predictability between Multi-manager High time series from 4th of June 2024 to 2nd of September 2024 and 2nd of September 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 Multi Manager High price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Multi-manager High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Multi Manager High lagged returns against current returns
Autocorrelation, which is Multi-manager High 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 Multi-manager High's mutual fund expected returns. We can calculate the autocorrelation of Multi-manager High returns to help us make a trade decision. For example, suppose you find that Multi-manager High 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 |
Multi-manager High 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 Multi-manager High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Multi-manager High mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Multi-manager High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Multi-manager High Lagged Returns
When evaluating Multi-manager High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Multi-manager High mutual fund have on its future price. Multi-manager High 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, Multi-manager High autocorrelation shows the relationship between Multi-manager High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Multi Manager High Yield.
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 Multi-manager Mutual Fund
Multi-manager High financial ratios help investors to determine whether Multi-manager 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 Multi-manager with respect to the benefits of owning Multi-manager High security.
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