Alpscorecommodity Management Pletecommoditiessm Fund Market Value
| JCRIX Fund | USD 7.27 0.04 0.55% |
| Symbol | Alpscorecommodity |
Alpscorecommodity '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 Alpscorecommodity'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 Alpscorecommodity.
| 11/14/2024 |
| 12/14/2024 |
If you would invest 0.00 in Alpscorecommodity on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding Alpscorecommodity Management Pletecommoditiessm or generate 0.0% return on investment in Alpscorecommodity over 30 days. Alpscorecommodity is related to or competes with Mutual Of, Guidemark Smallmid, Aqr Small, Small Pany, Champlain Small, Pace Smallmedium, and Kinetics Small. The fund seeks to achieve its investment objective by investing,under normal circumstances,directly or indirectly in a combination of equity securities of natural resource companies, as commodity-related equity securities and commodity futures-linked derivative instruments thereby obtaining exposure to the commodity markets. More
Alpscorecommodity 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 Alpscorecommodity'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 Alpscorecommodity Management Pletecommoditiessm upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9623 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.62 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 1.4 |
Alpscorecommodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpscorecommodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpscorecommodity's standard deviation. In reality, there are many statistical measures that can use Alpscorecommodity historical prices to predict the future Alpscorecommodity's volatility.| Risk Adjusted Performance | 0.0508 | |||
| Jensen Alpha | 0.0432 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 5.85 |
Alpscorecommodity Backtested Returns
At this stage we consider Alpscorecommodity Mutual Fund to be very steady. Alpscorecommodity secures Sharpe Ratio (or Efficiency) of 0.0426, which signifies that the fund had a 0.0426% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Alpscorecommodity Management Pletecommoditiessm, which you can use to evaluate the volatility of the entity. Please confirm Alpscorecommodity's Mean Deviation of 0.5927, risk adjusted performance of 0.0508, and Downside Deviation of 0.9623 to double-check if the risk estimate we provide is consistent with the expected return of 0.0334%. The fund shows a Beta (market volatility) of 0.0075, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Alpscorecommodity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alpscorecommodity is expected to be smaller as well.
Auto-correlation | 0.02 |
Virtually no predictability
Alpscorecommodity Management Pletecommoditiessm has virtually no predictability. Overlapping area represents the amount of predictability between Alpscorecommodity time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 Alpscorecommodity price movement. The serial correlation of 0.02 indicates that only 2.0% of current Alpscorecommodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Alpscorecommodity lagged returns against current returns
Autocorrelation, which is Alpscorecommodity 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 Alpscorecommodity's mutual fund expected returns. We can calculate the autocorrelation of Alpscorecommodity returns to help us make a trade decision. For example, suppose you find that Alpscorecommodity 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 |
Alpscorecommodity 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 Alpscorecommodity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpscorecommodity mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpscorecommodity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alpscorecommodity Lagged Returns
When evaluating Alpscorecommodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpscorecommodity mutual fund have on its future price. Alpscorecommodity 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, Alpscorecommodity autocorrelation shows the relationship between Alpscorecommodity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alpscorecommodity Management Pletecommoditiessm.
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 Alpscorecommodity Mutual Fund
Alpscorecommodity financial ratios help investors to determine whether Alpscorecommodity 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 Alpscorecommodity with respect to the benefits of owning Alpscorecommodity security.
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