Hartford Schroders Small Fund Market Value
| SCUVX Fund | USD 27.56 0.35 1.29% |
| 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 |
| 04/24/2024 |
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 Small or generate 0.0% return on investment in Hartford Schroders over 60 days. Hartford Schroders is related to or competes with Hartford Schroders, Hartford Schroders, The Hartford, Zacks Small, and Hartford Schroders. Under normal circumstances, the fund invests primarily in equity securities of small capitalization companies, although ... 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 Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.18 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 5.22 | |||
| Value At Risk | (1.65) | |||
| Potential Upside | 1.77 |
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 | 0.024 | |||
| Jensen Alpha | 0.0216 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.7923 |
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 Small Backtested Returns
We consider Hartford Schroders very steady. Hartford Schroders Small holds Efficiency (Sharpe) Ratio of 0.0318, which attests that the entity had a 0.0318% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hartford Schroders Small, which you can use to evaluate the volatility of the entity. Please check out Hartford Schroders' Downside Deviation of 1.18, market risk adjusted performance of 0.8023, and Risk Adjusted Performance of 0.024 to validate if the risk estimate we provide is consistent with the expected return of 0.0342%. The fund retains a Market Volatility (i.e., Beta) of 0.0305, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hartford Schroders' returns are expected to increase less than the market. However, during the bear market, the loss of holding Hartford Schroders is expected to be smaller as well.
Auto-correlation | -0.23 |
Weak reverse predictability
Hartford Schroders Small has weak reverse predictability. Overlapping area represents the amount of predictability between Hartford Schroders time series from 24th of February 2024 to 25th of March 2024 and 25th of March 2024 to 24th 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 Hartford Schroders Small price movement. The serial correlation of -0.23 indicates that over 23.0% of current Hartford Schroders price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.44 |
Hartford Schroders Small 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 |
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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 Small.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
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.