Inverse High Yield Fund Market Value
| RYIHX Fund | USD 49.41 0.19 0.39% |
| Symbol | Inverse |
Inverse 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 Inverse 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 Inverse High.
| 06/17/2024 |
| 12/14/2024 |
If you would invest 0.00 in Inverse High on June 17, 2024 and sell it all today you would earn a total of 0.00 from holding Inverse High Yield or generate 0.0% return on investment in Inverse High over 180 days. Inverse High is related to or competes with Basic Materials, Basic Materials, Banking Fund, Basic Materials, Sp Midcap, Basic Materials, and Biotechnology Fund. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus any borrowings for investme... More
Inverse 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 Inverse 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 Inverse High Yield upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2589 | |||
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 1.42 | |||
| Value At Risk | (0.36) | |||
| Potential Upside | 0.4488 |
Inverse High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Inverse High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Inverse High's standard deviation. In reality, there are many statistical measures that can use Inverse High historical prices to predict the future Inverse High's volatility.| Risk Adjusted Performance | 0.0426 | |||
| Jensen Alpha | 0.0292 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.30) | |||
| Treynor Ratio | (0.06) |
Inverse High Yield Backtested Returns
At this stage we consider Inverse Mutual Fund to be very steady. Inverse High Yield holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Inverse High Yield, which you can use to evaluate the volatility of the entity. Please check out Inverse High's Risk Adjusted Performance of 0.0426, downside deviation of 0.2589, and Market Risk Adjusted Performance of (0.05) to validate if the risk estimate we provide is consistent with the expected return of 0.031%. The fund retains a Market Volatility (i.e., Beta) of -0.19, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Inverse High are expected to decrease at a much lower rate. During the bear market, Inverse High is likely to outperform the market.
Auto-correlation | -0.43 |
Modest reverse predictability
Inverse High Yield has modest reverse predictability. Overlapping area represents the amount of predictability between Inverse High time series from 17th of June 2024 to 15th of September 2024 and 15th of September 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 Inverse High Yield price movement. The serial correlation of -0.43 indicates that just about 43.0% of current Inverse High price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Inverse High Yield lagged returns against current returns
Autocorrelation, which is Inverse 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 Inverse High's mutual fund expected returns. We can calculate the autocorrelation of Inverse High returns to help us make a trade decision. For example, suppose you find that Inverse 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 |
Inverse 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 Inverse High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Inverse 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 Inverse High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Inverse High Lagged Returns
When evaluating Inverse High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Inverse High mutual fund have on its future price. Inverse 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, Inverse High autocorrelation shows the relationship between Inverse High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Inverse 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 Inverse Mutual Fund
Inverse High financial ratios help investors to determine whether Inverse 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 Inverse with respect to the benefits of owning Inverse High security.
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