Emerging Growth Fund Market Value
WEMAX Fund | USD 9.94 0.03 0.30% |
Symbol | Emerging |
Emerging Growth '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 Emerging Growth'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 Emerging Growth.
02/28/2024 |
| 03/29/2024 |
If you would invest 0.00 in Emerging Growth on February 28, 2024 and sell it all today you would earn a total of 0.00 from holding Emerging Growth Fund or generate 0.0% return on investment in Emerging Growth over 30 days. Emerging Growth is related to or competes with Vanguard Small-cap, Vanguard Small, Vanguard Explorer, Vanguard Explorer, Janus Triton, Janus Triton, and Janus Triton. The fund invests at least 80 percent of its total assets in equity securities of small-capitalization companies, and up ... More
Emerging Growth 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 Emerging Growth'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 Emerging Growth Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.32 | |||
Information Ratio | 0.0134 | |||
Maximum Drawdown | 5.71 | |||
Value At Risk | (1.97) | |||
Potential Upside | 2.12 |
Emerging Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emerging Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emerging Growth's standard deviation. In reality, there are many statistical measures that can use Emerging Growth historical prices to predict the future Emerging Growth's volatility.Risk Adjusted Performance | 0.0729 | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.14) | |||
Sortino Ratio | 0.0126 | |||
Treynor Ratio | 0.0839 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emerging Growth'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.
Emerging Growth Fund Backtested Returns
Emerging Growth appears to be out of control, given 3 months investment horizon. Emerging Growth Fund secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the fund had a 0.16% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Emerging Growth Fund, which you can use to evaluate the volatility of the entity. Please utilize Emerging Growth's Mean Deviation of 0.9842, coefficient of variation of 825.63, and Downside Deviation of 1.32 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 1.69, which means 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, Emerging Growth will likely underperform.
Auto-correlation | -0.5 |
Modest reverse predictability
Emerging Growth Fund has modest reverse predictability. Overlapping area represents the amount of predictability between Emerging Growth time series from 28th of February 2024 to 14th of March 2024 and 14th of March 2024 to 29th of March 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 Emerging Growth Fund price movement. The serial correlation of -0.5 indicates that about 50.0% of current Emerging Growth price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.5 | |
Spearman Rank Test | -0.41 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Emerging Growth Fund lagged returns against current returns
Autocorrelation, which is Emerging Growth 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 Emerging Growth's mutual fund expected returns. We can calculate the autocorrelation of Emerging Growth returns to help us make a trade decision. For example, suppose you find that Emerging Growth 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 |
Emerging Growth 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 Emerging Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Emerging Growth mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Emerging Growth mutual fund over time.
Current vs Lagged Prices |
Timeline |
Emerging Growth Lagged Returns
When evaluating Emerging Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Emerging Growth mutual fund have on its future price. Emerging Growth 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, Emerging Growth autocorrelation shows the relationship between Emerging Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Emerging Growth Fund.
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 Emerging Growth 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, Emerging Growth's short interest history, or implied volatility extrapolated from Emerging Growth options trading.
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.CLSK | CleanSpark | |
V | Visa Class A | |
CDLX | Cardlytics |
Check out Emerging Growth Correlation, Emerging Growth Volatility and Emerging Growth Alpha and Beta module to complement your research on Emerging Growth. Note that the Emerging Growth Fund information on this page should be used as a complementary analysis to other Emerging Growth'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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Emerging Mutual Fund analysis
When running Emerging Growth's price analysis, check to measure Emerging Growth's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Emerging Growth is operating at the current time. Most of Emerging Growth's value examination focuses on studying past and present price action to predict the probability of Emerging Growth's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Emerging Growth's price. Additionally, you may evaluate how the addition of Emerging Growth to your portfolios can decrease your overall portfolio volatility.
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Emerging Growth 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.