Alphacentric Hedged Market Fund Market Value
| HMXIX Fund | USD 27.36 0.19 0.70% |
| Symbol | Alphacentric |
Alphacentric Hedged '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 Alphacentric Hedged'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 Alphacentric Hedged.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Alphacentric Hedged on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Alphacentric Hedged Market or generate 0.0% return on investment in Alphacentric Hedged over 30 days. Alphacentric Hedged is related to or competes with Gateway Fund, Jpmorgan Hedged, and Jpmorgan Hedged. Under normal circumstances, the fund seeks to achieve its investment objective by investing primarily in long and short ... More
Alphacentric Hedged 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 Alphacentric Hedged'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 Alphacentric Hedged Market upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5392 | |||
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 2.03 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 0.7223 |
Alphacentric Hedged Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alphacentric Hedged's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alphacentric Hedged's standard deviation. In reality, there are many statistical measures that can use Alphacentric Hedged historical prices to predict the future Alphacentric Hedged's volatility.| Risk Adjusted Performance | 0.0284 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.0215 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alphacentric Hedged'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.
Alphacentric Hedged Backtested Returns
We consider Alphacentric Hedged very steady. Alphacentric Hedged secures Sharpe Ratio (or Efficiency) of 0.0305, which signifies that the fund had a 0.0305% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Alphacentric Hedged Market, which you can use to evaluate the volatility of the entity. Please confirm Alphacentric Hedged's Downside Deviation of 0.5392, mean deviation of 0.3705, and Risk Adjusted Performance of 0.0284 to double-check if the risk estimate we provide is consistent with the expected return of 0.0148%. The fund shows a Beta (market volatility) of 0.65, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Alphacentric Hedged's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alphacentric Hedged is expected to be smaller as well.
Auto-correlation | 0.54 |
Modest predictability
Alphacentric Hedged Market has modest predictability. Overlapping area represents the amount of predictability between Alphacentric Hedged time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Alphacentric Hedged price movement. The serial correlation of 0.54 indicates that about 54.0% of current Alphacentric Hedged price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Alphacentric Hedged lagged returns against current returns
Autocorrelation, which is Alphacentric Hedged 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 Alphacentric Hedged's mutual fund expected returns. We can calculate the autocorrelation of Alphacentric Hedged returns to help us make a trade decision. For example, suppose you find that Alphacentric Hedged 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 |
Alphacentric Hedged 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 Alphacentric Hedged mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alphacentric Hedged mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alphacentric Hedged mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alphacentric Hedged Lagged Returns
When evaluating Alphacentric Hedged's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alphacentric Hedged mutual fund have on its future price. Alphacentric Hedged 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, Alphacentric Hedged autocorrelation shows the relationship between Alphacentric Hedged mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alphacentric Hedged Market.
Regressed Prices |
| Timeline |
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Alphacentric Hedged 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.