Hartford Schroders Emerging Fund Market Value
| SEMNX Fund | USD 16.83 0.05 0.30% |
| Symbol | Hartford |
Hartford Schroders '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 Schroders' 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 Schroders.
| 02/24/2024 |
| 05/24/2024 |
If you would invest 0.00 in Hartford Schroders on February 24, 2024 and sell it all today you would earn a total of 0.00 from holding Hartford Schroders Emerging or generate 0.0% return on investment in Hartford Schroders over 90 days. Hartford Schroders is related to or competes with Vanguard Emerging, Vanguard Emerging, Vanguard Emerging, Vanguard Emerging, American Funds, American Funds, and New World. The fund normally invests at least 80 percent of its assets in equity securities of emerging market companies More
Hartford Schroders 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 Schroders' 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 Schroders Emerging upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8227 | |||
| Information Ratio | 0.0813 | |||
| Maximum Drawdown | 3.76 | |||
| Value At Risk | (1.00) | |||
| Potential Upside | 1.32 |
Hartford Schroders Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Schroders' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Schroders' standard deviation. In reality, there are many statistical measures that can use Hartford Schroders historical prices to predict the future Hartford Schroders' volatility.| Risk Adjusted Performance | 0.095 | |||
| Jensen Alpha | 0.0669 | |||
| Total Risk Alpha | 0.0487 | |||
| Sortino Ratio | 0.0752 | |||
| Treynor Ratio | 0.1221 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Schroders' 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 Schroders Backtested Returns
We consider Hartford Schroders very steady. Hartford Schroders holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hartford Schroders, which you can use to evaluate the volatility of the entity. Please check out Hartford Schroders' Downside Deviation of 0.8227, risk adjusted performance of 0.095, and Market Risk Adjusted Performance of 0.1321 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. The fund retains a Market Volatility (i.e., Beta) of 0.89, which attests to possible diversification benefits within a given portfolio. Hartford Schroders returns are very sensitive to returns on the market. As the market goes up or down, Hartford Schroders is expected to follow.
Auto-correlation | 0.65 |
Good predictability
Hartford Schroders Emerging has good predictability. Overlapping area represents the amount of predictability between Hartford Schroders time series from 24th of February 2024 to 9th of April 2024 and 9th of April 2024 to 24th of May 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 Hartford Schroders price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Hartford Schroders price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
Hartford Schroders lagged returns against current returns
Autocorrelation, which is Hartford Schroders 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 Schroders' mutual fund expected returns. We can calculate the autocorrelation of Hartford Schroders returns to help us make a trade decision. For example, suppose you find that Hartford Schroders 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 Schroders 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 Schroders mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Schroders 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 Schroders mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hartford Schroders Lagged Returns
When evaluating Hartford Schroders' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Schroders mutual fund have on its future price. Hartford Schroders 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 Schroders autocorrelation shows the relationship between Hartford Schroders mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Hartford Schroders Emerging.
Regressed Prices |
| Timeline |
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Check out Hartford Schroders Correlation, Hartford Schroders Volatility and Hartford Schroders Alpha and Beta module to complement your research on Hartford Schroders. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Hartford Schroders 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.