The Hartford Equity Fund Market Value
| HQISX Fund | USD 20.73 1.67 7.46% |
| Symbol | Hartford |
Hartford Equity '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 Equity'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 Equity.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Hartford Equity on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding The Hartford Equity or generate 0.0% return on investment in Hartford Equity over 30 days. Hartford Equity is related to or competes with Hartford Equity, T Rowe, Janus Growth, Hartford International, and Simt Managed. Under normal circumstances, the fund seeks to achieve its investment objective by investing at least 80 percent of its a... More
Hartford Equity 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 Equity'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 The Hartford Equity upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 3.26 | |||
| Value At Risk | (0.70) | |||
| Potential Upside | 0.9083 |
Hartford Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Equity's standard deviation. In reality, there are many statistical measures that can use Hartford Equity historical prices to predict the future Hartford Equity's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Equity'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 Equity Backtested Returns
Hartford Equity holds Efficiency (Sharpe) Ratio of -0.0735, which attests that the entity had a -0.0735% return per unit of risk over the last 3 months. Hartford Equity exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hartford Equity's Standard Deviation of 1.08, risk adjusted performance of (0.04), and Market Risk Adjusted Performance of (0.08) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.75, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hartford Equity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hartford Equity is expected to be smaller as well.
Auto-correlation | -0.7 |
Very good reverse predictability
The Hartford Equity has very good reverse predictability. Overlapping area represents the amount of predictability between Hartford Equity time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Hartford Equity price movement. The serial correlation of -0.7 indicates that around 70.0% of current Hartford Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Hartford Equity lagged returns against current returns
Autocorrelation, which is Hartford Equity 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 Equity's mutual fund expected returns. We can calculate the autocorrelation of Hartford Equity returns to help us make a trade decision. For example, suppose you find that Hartford Equity 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 Equity 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 Equity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Equity 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 Equity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hartford Equity Lagged Returns
When evaluating Hartford Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Equity mutual fund have on its future price. Hartford Equity 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 Equity autocorrelation shows the relationship between Hartford Equity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Hartford Equity.
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 Equity 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 Equity security.
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