Hartford Emerging Markets Fund Market Value
| HERCX Fund | USD 11.34 0.07 0.62% |
| Symbol | Hartford |
Hartford 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 Hartford 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 Hartford Emerging.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Hartford Emerging on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Hartford Emerging Markets or generate 0.0% return on investment in Hartford Emerging over 90 days. Hartford Emerging is related to or competes with Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, and Hartford Growth. The fund invests at least 80 percent of its assets in equity securities of companies in emerging markets More
Hartford 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 Hartford 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 Hartford Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6643 | |||
| Information Ratio | 0.1408 | |||
| Maximum Drawdown | 4.04 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.45 |
Hartford Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Emerging's standard deviation. In reality, there are many statistical measures that can use Hartford Emerging historical prices to predict the future Hartford Emerging's volatility.| Risk Adjusted Performance | 0.3077 | |||
| Jensen Alpha | 0.1808 | |||
| Total Risk Alpha | 0.1314 | |||
| Sortino Ratio | 0.1558 | |||
| Treynor Ratio | 0.573 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Emerging'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.
Hartford Emerging Markets Backtested Returns
Hartford Emerging appears to be very steady, given 3 months investment horizon. Hartford Emerging Markets holds Efficiency (Sharpe) Ratio of 0.36, which attests that the entity had a 0.36 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hartford Emerging Markets, which you can use to evaluate the volatility of the entity. Please utilize Hartford Emerging's Coefficient Of Variation of 300.9, market risk adjusted performance of 0.583, and Risk Adjusted Performance of 0.3077 to validate if our risk estimates are consistent with your expectations. The fund retains a Market Volatility (i.e., Beta) of 0.41, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hartford Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hartford Emerging is expected to be smaller as well.
Auto-correlation | 0.78 |
Good predictability
Hartford Emerging Markets has good predictability. Overlapping area represents the amount of predictability between Hartford Emerging time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Hartford Emerging Markets price movement. The serial correlation of 0.78 indicates that around 78.0% of current Hartford Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Hartford Emerging Markets lagged returns against current returns
Autocorrelation, which is Hartford 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 Hartford Emerging's mutual fund expected returns. We can calculate the autocorrelation of Hartford Emerging returns to help us make a trade decision. For example, suppose you find that Hartford 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 |
Hartford 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 Hartford Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford 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 Hartford Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hartford Emerging Lagged Returns
When evaluating Hartford Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Emerging mutual fund have on its future price. Hartford 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, Hartford Emerging autocorrelation shows the relationship between Hartford Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Hartford 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 Hartford Mutual Fund
Hartford Emerging financial ratios help investors to determine whether Hartford 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 Hartford with respect to the benefits of owning Hartford Emerging security.
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