Inverse Russell 2000 Fund Market Value
| RYAFX Fund | USD 52.58 0.20 0.38% |
| Symbol | Inverse |
Inverse Russell '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 Russell'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 Russell.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Inverse Russell on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Inverse Russell 2000 or generate 0.0% return on investment in Inverse Russell over 30 days. Inverse Russell is related to or competes with Ironclad Managed, California High, Us High, and Pace High. The fund employs as its investment strategy a program of engaging in short sales of securities included in the underlyin... More
Inverse Russell 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 Russell'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 Russell 2000 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 6.38 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 2.01 |
Inverse Russell Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Inverse Russell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Inverse Russell's standard deviation. In reality, there are many statistical measures that can use Inverse Russell historical prices to predict the future Inverse Russell's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | 0.1142 | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.0199 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Inverse Russell'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 Russell 2000 Backtested Returns
We consider Inverse Russell very steady. Inverse Russell 2000 holds Efficiency (Sharpe) Ratio of 0.0047, which attests that the entity had a 0.0047% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Inverse Russell 2000, which you can use to evaluate the volatility of the entity. Please check out Inverse Russell's Market Risk Adjusted Performance of 0.0299, risk adjusted performance of (0.01), and Standard Deviation of 1.28 to validate if the risk estimate we provide is consistent with the expected return of 0.006%. The fund retains a Market Volatility (i.e., Beta) of -1.75, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Inverse Russell are expected to decrease by larger amounts. On the other hand, during market turmoil, Inverse Russell is expected to outperform it.
Auto-correlation | 0.43 |
Average predictability
Inverse Russell 2000 has average predictability. Overlapping area represents the amount of predictability between Inverse Russell 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 Inverse Russell 2000 price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Inverse Russell price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.73 |
Inverse Russell 2000 lagged returns against current returns
Autocorrelation, which is Inverse Russell 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 Russell's mutual fund expected returns. We can calculate the autocorrelation of Inverse Russell returns to help us make a trade decision. For example, suppose you find that Inverse Russell 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 Russell 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 Russell mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Inverse Russell 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 Russell mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Inverse Russell Lagged Returns
When evaluating Inverse Russell's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Inverse Russell mutual fund have on its future price. Inverse Russell 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 Russell autocorrelation shows the relationship between Inverse Russell mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Inverse Russell 2000.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Inverse Russell in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Inverse Russell's short interest history, or implied volatility extrapolated from Inverse Russell options trading.
Currently Active Assets on Macroaxis
Check out Inverse Russell Correlation, Inverse Russell Volatility and Inverse Russell Alpha and Beta module to complement your research on Inverse Russell. Note that the Inverse Russell 2000 information on this page should be used as a complementary analysis to other Inverse Russell'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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Inverse Russell 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.