Catalystsmh High Income Fund Market Value
| HIICX Fund | USD 3.78 0.01 0.27% |
| Symbol | Catalystsmh |
Catalystsmh 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 Catalystsmh 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 Catalystsmh High.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Catalystsmh High on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Catalystsmh High Income or generate 0.0% return on investment in Catalystsmh High over 720 days. Catalystsmh High is related to or competes with Artisan Emerging, Jpmorgan Emerging, Kinetics Market, Barings Emerging, and Rbc Emerging. The fund invests in a non-diversified group of low-quality, high yield corporate bonds and convertible securities More
Catalystsmh 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 Catalystsmh 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 Catalystsmh High Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3104 | |||
| Information Ratio | (0.35) | |||
| Maximum Drawdown | 1.08 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.5376 |
Catalystsmh High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Catalystsmh High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Catalystsmh High's standard deviation. In reality, there are many statistical measures that can use Catalystsmh High historical prices to predict the future Catalystsmh High's volatility.| Risk Adjusted Performance | 0.1467 | |||
| Jensen Alpha | 0.0245 | |||
| Total Risk Alpha | 0.0029 | |||
| Sortino Ratio | (0.27) | |||
| Treynor Ratio | 0.2936 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Catalystsmh 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.
Catalystsmh High Income Backtested Returns
At this stage we consider Catalystsmh Mutual Fund to be very steady. Catalystsmh High Income secures Sharpe Ratio (or Efficiency) of 0.24, which signifies that the fund had a 0.24% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Catalystsmh High Income, which you can use to evaluate the volatility of the entity. Please confirm Catalystsmh High's Risk Adjusted Performance of 0.1467, coefficient of variation of 454.24, and Mean Deviation of 0.1871 to double-check if the risk estimate we provide is consistent with the expected return of 0.0593%. The fund shows a Beta (market volatility) of 0.15, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Catalystsmh High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Catalystsmh High is expected to be smaller as well.
Auto-correlation | 0.85 |
Very good predictability
Catalystsmh High Income has very good predictability. Overlapping area represents the amount of predictability between Catalystsmh High time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 Catalystsmh High Income price movement. The serial correlation of 0.85 indicates that around 85.0% of current Catalystsmh High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Catalystsmh High Income lagged returns against current returns
Autocorrelation, which is Catalystsmh 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 Catalystsmh High's mutual fund expected returns. We can calculate the autocorrelation of Catalystsmh High returns to help us make a trade decision. For example, suppose you find that Catalystsmh 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 |
Catalystsmh 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 Catalystsmh High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Catalystsmh 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 Catalystsmh High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Catalystsmh High Lagged Returns
When evaluating Catalystsmh High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Catalystsmh High mutual fund have on its future price. Catalystsmh 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, Catalystsmh High autocorrelation shows the relationship between Catalystsmh High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Catalystsmh High Income.
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 Catalystsmh Mutual Fund
Catalystsmh High financial ratios help investors to determine whether Catalystsmh 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 Catalystsmh with respect to the benefits of owning Catalystsmh High security.
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