Emerging Economies Fund Market Value
| VCGEX Fund | USD 6.57 0.05 0.76% |
| Symbol | Emerging |
Emerging Economies '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 Economies' 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 Economies.
| 09/12/2024 |
| 12/11/2024 |
If you would invest 0.00 in Emerging Economies on September 12, 2024 and sell it all today you would earn a total of 0.00 from holding Emerging Economies Fund or generate 0.0% return on investment in Emerging Economies over 90 days. Emerging Economies is related to or competes with American Funds, SCOR PK, Morningstar Unconstrained, Via Renewables, Bondbloxx ETF, Spring Valley, and 70082LAB3. Under normal circumstances, the fund invests at least 80 percent of value of its net assets in equity securities of emer... More
Emerging Economies 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 Economies' 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 Economies Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.873 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 4.2 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.64 |
Emerging Economies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emerging Economies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emerging Economies' standard deviation. In reality, there are many statistical measures that can use Emerging Economies historical prices to predict the future Emerging Economies' volatility.| Risk Adjusted Performance | 0.0631 | |||
| Jensen Alpha | 0.0702 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | (1.34) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emerging Economies' 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 Economies Backtested Returns
At this stage we consider Emerging Mutual Fund to be not too volatile. Emerging Economies secures Sharpe Ratio (or Efficiency) of 0.0644, which denotes the fund had a 0.0644% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Emerging Economies Fund, which you can use to evaluate the volatility of the entity. Please confirm Emerging Economies' Downside Deviation of 0.873, coefficient of variation of 1178.05, and Mean Deviation of 0.6721 to check if the risk estimate we provide is consistent with the expected return of 0.0571%. The fund shows a Beta (market volatility) of -0.0484, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Emerging Economies are expected to decrease at a much lower rate. During the bear market, Emerging Economies is likely to outperform the market.
Auto-correlation | -0.76 |
Almost perfect reverse predictability
Emerging Economies Fund has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Emerging Economies time series from 12th of September 2024 to 27th of October 2024 and 27th of October 2024 to 11th of December 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 Economies price movement. The serial correlation of -0.76 indicates that around 76.0% of current Emerging Economies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.76 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Emerging Economies lagged returns against current returns
Autocorrelation, which is Emerging Economies 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 Economies' mutual fund expected returns. We can calculate the autocorrelation of Emerging Economies returns to help us make a trade decision. For example, suppose you find that Emerging Economies 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 Economies 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 Economies mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Emerging Economies 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 Economies mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Emerging Economies Lagged Returns
When evaluating Emerging Economies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Emerging Economies mutual fund have on its future price. Emerging Economies 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 Economies autocorrelation shows the relationship between Emerging Economies mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Emerging Economies Fund.
Regressed Prices |
| Timeline |
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.Other Information on Investing in Emerging Mutual Fund
Emerging Economies financial ratios help investors to determine whether Emerging Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Emerging with respect to the benefits of owning Emerging Economies security.
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |