Wasatch E Growth Fund Market Value
| WIGRX Fund | USD 85.02 0.63 0.75% |
| Symbol | Wasatch |
Wasatch Core '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 Wasatch Core'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 Wasatch Core.
| 05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in Wasatch Core on May 4, 2022 and sell it all today you would earn a total of 0.00 from holding Wasatch E Growth or generate 0.0% return on investment in Wasatch Core over 720 days. Wasatch Core is related to or competes with Wasatch Small, and Pear Tree. The fund invests primarily in smaller growing companies at reasonable prices More
Wasatch Core 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 Wasatch Core'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 Wasatch E Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 4.71 | |||
| Value At Risk | (1.84) | |||
| Potential Upside | 1.56 |
Wasatch Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wasatch Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wasatch Core's standard deviation. In reality, there are many statistical measures that can use Wasatch Core historical prices to predict the future Wasatch Core's volatility.| Risk Adjusted Performance | 0.0086 | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | (0) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wasatch Core'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.
Wasatch E Growth Backtested Returns
Wasatch E Growth shows Sharpe Ratio of -0.0106, which attests that the fund had a -0.0106% return per unit of risk over the last 3 months. Wasatch E Growth exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Wasatch Core's Market Risk Adjusted Performance of 0.0083, downside deviation of 1.25, and Mean Deviation of 0.8468 to validate the risk estimate we provide. The entity maintains a market beta of 1.51, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Wasatch Core will likely underperform.
Auto-correlation | 0.40 |
Average predictability
Wasatch E Growth has average predictability. Overlapping area represents the amount of predictability between Wasatch Core 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 Wasatch E Growth price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Wasatch Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 51.55 |
Wasatch E Growth lagged returns against current returns
Autocorrelation, which is Wasatch Core 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 Wasatch Core's mutual fund expected returns. We can calculate the autocorrelation of Wasatch Core returns to help us make a trade decision. For example, suppose you find that Wasatch Core 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 |
Wasatch Core 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 Wasatch Core mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wasatch Core mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wasatch Core mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Wasatch Core Lagged Returns
When evaluating Wasatch Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wasatch Core mutual fund have on its future price. Wasatch Core 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, Wasatch Core autocorrelation shows the relationship between Wasatch Core mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Wasatch E Growth.
Regressed Prices |
| Timeline |
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Wasatch Core 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.