Parametric Emerging Markets Fund Market Value
| EAEMX Fund | USD 14.69 0.08 0.55% |
| Symbol | Parametric |
Parametric Emerging '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 Parametric Emerging'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 Parametric Emerging.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Parametric Emerging on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Parametric Emerging Markets or generate 0.0% return on investment in Parametric Emerging over 30 days. Parametric Emerging is related to or competes with Baron Emerging, Lazard International, Aqr Diversified, Touchstone Sands, and Harbor Capital. The fund normally invests at least 80 percent of its net assets in equity securities of companies located in emerging ma... More
Parametric Emerging 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 Parametric Emerging'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 Parametric Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5945 | |||
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 3.1 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 0.8737 |
Parametric Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Parametric Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Parametric Emerging's standard deviation. In reality, there are many statistical measures that can use Parametric Emerging historical prices to predict the future Parametric Emerging's volatility.| Risk Adjusted Performance | 2.0E-4 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.19) | |||
| Treynor Ratio | (0.03) |
Parametric Emerging Backtested Returns
At this stage we consider Parametric Mutual Fund to be very steady. Parametric Emerging maintains Sharpe Ratio (i.e., Efficiency) of 0.0273, which implies the entity had a 0.0273% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Parametric Emerging, which you can use to evaluate the volatility of the fund. Please check Parametric Emerging's Risk Adjusted Performance of 2.0E-4, coefficient of variation of 32337.95, and Semi Deviation of 0.5511 to confirm if the risk estimate we provide is consistent with the expected return of 0.0168%. The fund holds a Beta of 0.24, which implies not very significant fluctuations relative to the market. As returns on the market increase, Parametric Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Parametric Emerging is expected to be smaller as well.
Auto-correlation | -0.4 |
Poor reverse predictability
Parametric Emerging Markets has poor reverse predictability. Overlapping area represents the amount of predictability between Parametric Emerging time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Parametric Emerging price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Parametric Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Parametric Emerging lagged returns against current returns
Autocorrelation, which is Parametric Emerging 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 Parametric Emerging's mutual fund expected returns. We can calculate the autocorrelation of Parametric Emerging returns to help us make a trade decision. For example, suppose you find that Parametric Emerging 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 |
Parametric Emerging 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 Parametric Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Parametric Emerging mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Parametric Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Parametric Emerging Lagged Returns
When evaluating Parametric Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Parametric Emerging mutual fund have on its future price. Parametric Emerging 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, Parametric Emerging autocorrelation shows the relationship between Parametric Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Parametric Emerging Markets.
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 Parametric Mutual Fund
Parametric Emerging financial ratios help investors to determine whether Parametric 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 Parametric with respect to the benefits of owning Parametric Emerging security.
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