Emerging Markets Fund Market Value
| TWMIX Fund | USD 10.23 0.13 1.29% |
| Symbol | Emerging |
Emerging Markets '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 Markets' 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 Markets.
| 02/23/2024 |
| 04/23/2024 |
If you would invest 0.00 in Emerging Markets on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding Emerging Markets Fund or generate 0.0% return on investment in Emerging Markets over 60 days. Emerging Markets is related to or competes with Heritage Fund, Real Estate, Global Growth, Utilities Fund, and International Growth. The fund will invest at least 80 percent of its net assets in equity securities of companies located in emerging market ... More
Emerging Markets 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 Markets' 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 Markets Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8383 | |||
| Information Ratio | 0.0069 | |||
| Maximum Drawdown | 3.85 | |||
| Value At Risk | (1.14) | |||
| Potential Upside | 1.26 |
Emerging Markets Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emerging Markets' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emerging Markets' standard deviation. In reality, there are many statistical measures that can use Emerging Markets historical prices to predict the future Emerging Markets' volatility.| Risk Adjusted Performance | 0.0786 | |||
| Jensen Alpha | 0.0209 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0062 | |||
| Treynor Ratio | 0.1053 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emerging Markets' 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 Markets Backtested Returns
We consider Emerging Markets very steady. Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0845, which denotes the fund had a 0.0845% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Emerging Markets Fund, which you can use to evaluate the volatility of the entity. Please confirm Emerging Markets' Mean Deviation of 0.5829, coefficient of variation of 802.33, and Downside Deviation of 0.8383 to check if the risk estimate we provide is consistent with the expected return of 0.0621%. The fund shows a Beta (market volatility) of 0.8, which means possible diversification benefits within a given portfolio. As returns on the market increase, Emerging Markets' returns are expected to increase less than the market. However, during the bear market, the loss of holding Emerging Markets is expected to be smaller as well.
Auto-correlation | -0.42 |
Modest reverse predictability
Emerging Markets Fund has modest reverse predictability. Overlapping area represents the amount of predictability between Emerging Markets time series from 23rd of February 2024 to 24th of March 2024 and 24th of March 2024 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 Emerging Markets price movement. The serial correlation of -0.42 indicates that just about 42.0% of current Emerging Markets price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Emerging Markets lagged returns against current returns
Autocorrelation, which is Emerging Markets 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 Markets' mutual fund expected returns. We can calculate the autocorrelation of Emerging Markets returns to help us make a trade decision. For example, suppose you find that Emerging Markets 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 Markets 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 Markets mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Emerging Markets 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 Markets mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Emerging Markets Lagged Returns
When evaluating Emerging Markets' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Emerging Markets mutual fund have on its future price. Emerging Markets 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 Markets autocorrelation shows the relationship between Emerging Markets mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Emerging Markets 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 Markets 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 Markets' short interest history, or implied volatility extrapolated from Emerging Markets options trading.
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Check out Emerging Markets Correlation, Emerging Markets Volatility and Emerging Markets Alpha and Beta module to complement your research on Emerging Markets. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Emerging Markets 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.