Inverse Mid Cap Strategy Fund Market Value
| RYAGX Fund | USD 51.14 0.46 0.89% |
| Symbol | Inverse |
Inverse Mid-cap '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 Mid-cap'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 Mid-cap.
| 05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in Inverse Mid-cap on May 4, 2022 and sell it all today you would earn a total of 0.00 from holding Inverse Mid Cap Strategy or generate 0.0% return on investment in Inverse Mid-cap over 720 days. Inverse Mid-cap is related to or competes with Basic Materials, Basic Materials, Banking Fund, Basic Materials, Sp Midcap, Basic Materials, and Biotechnology Fund. The fund employs as its investment strategy a program of engaging in short sales of securities included in the underlyin... More
Inverse Mid-cap 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 Mid-cap'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 Mid Cap Strategy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 4.21 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.65 |
Inverse Mid-cap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Inverse Mid-cap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Inverse Mid-cap's standard deviation. In reality, there are many statistical measures that can use Inverse Mid-cap historical prices to predict the future Inverse Mid-cap's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (1.98) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Inverse Mid-cap'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.
Inverse Mid Cap Backtested Returns
Inverse Mid Cap holds Efficiency (Sharpe) Ratio of -0.0459, which attests that the entity had a -0.0459% return per unit of risk over the last 3 months. Inverse Mid Cap exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Inverse Mid-cap's Standard Deviation of 0.9113, market risk adjusted performance of (1.97), and Risk Adjusted Performance of (0.03) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.0323, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Inverse Mid-cap's returns are expected to increase less than the market. However, during the bear market, the loss of holding Inverse Mid-cap is expected to be smaller as well.
Auto-correlation | 0.33 |
Below average predictability
Inverse Mid Cap Strategy has below average predictability. Overlapping area represents the amount of predictability between Inverse Mid-cap time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 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 Inverse Mid Cap price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Inverse Mid-cap price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 9.09 |
Inverse Mid Cap lagged returns against current returns
Autocorrelation, which is Inverse Mid-cap 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 Mid-cap's mutual fund expected returns. We can calculate the autocorrelation of Inverse Mid-cap returns to help us make a trade decision. For example, suppose you find that Inverse Mid-cap 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 Mid-cap 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 Mid-cap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Inverse Mid-cap 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 Mid-cap mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Inverse Mid-cap Lagged Returns
When evaluating Inverse Mid-cap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Inverse Mid-cap mutual fund have on its future price. Inverse Mid-cap 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 Mid-cap autocorrelation shows the relationship between Inverse Mid-cap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Inverse Mid Cap Strategy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Inverse Mid-cap Correlation, Inverse Mid-cap Volatility and Inverse Mid-cap Alpha and Beta module to complement your research on Inverse Mid-cap. Note that the Inverse Mid Cap information on this page should be used as a complementary analysis to other Inverse Mid-cap'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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Inverse Mid-cap 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.