Monetta Young Investor Fund Market Value
| MYIFX Fund | USD 18.31 0.24 1.33% |
| Symbol | Monetta |
Monetta Young '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 Monetta Young'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 Monetta Young.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Monetta Young on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Monetta Young Investor or generate 0.0% return on investment in Monetta Young over 30 days. Monetta Young is related to or competes with Invesco Diversified, Fidelity International, Oberweis Emerging, and Neuberger Berman. The fund invests approximately 50 percent of its assets in exchange-traded funds that seek to track the SP 500 Index or ... More
Monetta Young 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 Monetta Young'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 Monetta Young Investor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8435 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.77 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 1.35 |
Monetta Young Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Monetta Young's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Monetta Young's standard deviation. In reality, there are many statistical measures that can use Monetta Young historical prices to predict the future Monetta Young's volatility.| Risk Adjusted Performance | 0.0649 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0768 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Monetta Young'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.
Monetta Young Investor Backtested Returns
We consider Monetta Young very steady. Monetta Young Investor has Sharpe Ratio of 0.0856, which conveys that the entity had a 0.0856% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Monetta Young, which you can use to evaluate the volatility of the fund. Please verify Monetta Young's Risk Adjusted Performance of 0.0649, downside deviation of 0.8435, and Mean Deviation of 0.632 to check out if the risk estimate we provide is consistent with the expected return of 0.0717%. The fund secures a Beta (Market Risk) of 0.96, which conveys possible diversification benefits within a given portfolio. Monetta Young returns are very sensitive to returns on the market. As the market goes up or down, Monetta Young is expected to follow.
Auto-correlation | 0.30 |
Below average predictability
Monetta Young Investor has below average predictability. Overlapping area represents the amount of predictability between Monetta Young time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 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 Monetta Young Investor price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Monetta Young price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Monetta Young Investor lagged returns against current returns
Autocorrelation, which is Monetta Young 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 Monetta Young's mutual fund expected returns. We can calculate the autocorrelation of Monetta Young returns to help us make a trade decision. For example, suppose you find that Monetta Young 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 |
Monetta Young 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 Monetta Young mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Monetta Young mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Monetta Young mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Monetta Young Lagged Returns
When evaluating Monetta Young's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Monetta Young mutual fund have on its future price. Monetta Young 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, Monetta Young autocorrelation shows the relationship between Monetta Young mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Monetta Young Investor.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Monetta Young in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Monetta Young's short interest history, or implied volatility extrapolated from Monetta Young options trading.
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Try AI Portfolio ArchitectCheck out Monetta Young Correlation, Monetta Young Volatility and Monetta Young Alpha and Beta module to complement your research on Monetta Young. Note that the Monetta Young Investor information on this page should be used as a complementary analysis to other Monetta Young's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Monetta Young technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.