Chn Strs Insti Fund Market Value
| GRSIX Fund | USD 8.38 0.07 0.84% |
| Symbol | Chn |
Chn Strs '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 Chn Strs' 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 Chn Strs.
| 07/28/2022 |
| 04/18/2024 |
If you would invest 0.00 in Chn Strs on July 28, 2022 and sell it all today you would earn a total of 0.00 from holding Chn Strs Insti or generate 0.0% return on investment in Chn Strs over 630 days. Chn Strs is related to or competes with Fidelity Water, Fidelity Low, Fidelity Founders, Thrivent High, Morningstar Unconstrained, High Yield, and Via Renewables. The fund seeks to invest at least 80 percent of its net assets, plus borrowings for investment purposes, in publicly tra... More
Chn Strs 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 Chn Strs' 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 Chn Strs Insti upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 3.92 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.28 |
Chn Strs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Chn Strs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Chn Strs' standard deviation. In reality, there are many statistical measures that can use Chn Strs historical prices to predict the future Chn Strs' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | (0.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Chn Strs' 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.
Chn Strs Insti Backtested Returns
Chn Strs Insti secures Sharpe Ratio (or Efficiency) of -0.0724, which signifies that the fund had a -0.0724% return per unit of risk over the last 3 months. Chn Strs Insti exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Chn Strs' Mean Deviation of 0.5905, standard deviation of 0.7837, and Risk Adjusted Performance of (0.08) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.8, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Chn Strs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Chn Strs is expected to be smaller as well.
Auto-correlation | 0.30 |
Below average predictability
Chn Strs Insti has below average predictability. Overlapping area represents the amount of predictability between Chn Strs time series from 28th of July 2022 to 8th of June 2023 and 8th of June 2023 to 18th 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 Chn Strs Insti price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Chn Strs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
Chn Strs Insti lagged returns against current returns
Autocorrelation, which is Chn Strs 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 Chn Strs' mutual fund expected returns. We can calculate the autocorrelation of Chn Strs returns to help us make a trade decision. For example, suppose you find that Chn Strs 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 |
Chn Strs 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 Chn Strs mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Chn Strs mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Chn Strs mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Chn Strs Lagged Returns
When evaluating Chn Strs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Chn Strs mutual fund have on its future price. Chn Strs 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, Chn Strs autocorrelation shows the relationship between Chn Strs mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Chn Strs Insti.
Regressed Prices |
| Timeline |
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Chn Strs 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.