The Hartford Total Fund Market Value
| ITBVX Fund | USD 8.84 0.03 0.34% |
| Symbol | Hartford |
Hartford Total '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 Total'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 Total.
| 03/29/2024 |
| 04/28/2024 |
If you would invest 0.00 in Hartford Total on March 29, 2024 and sell it all today you would earn a total of 0.00 from holding The Hartford Total or generate 0.0% return on investment in Hartford Total over 30 days. Hartford Total is related to or competes with Commonwealth Real, Virtus Real, Davis Real, Global Real, and Columbia Real. The investment seeks a competitive total return, with income as a secondary objective More
Hartford Total 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 Total'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 Total upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 2.11 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.4454 |
Hartford Total Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Total's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Total's standard deviation. In reality, there are many statistical measures that can use Hartford Total historical prices to predict the future Hartford Total's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (7.92) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Total'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 Total Backtested Returns
Hartford Total holds Efficiency (Sharpe) Ratio of -0.0684, which attests that the entity had a -0.0684% return per unit of risk over the last 3 months. Hartford Total exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hartford Total's Standard Deviation of 0.3983, market risk adjusted performance of (7.91), and Risk Adjusted Performance of (0.05) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.0047, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hartford Total's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hartford Total is expected to be smaller as well.
Auto-correlation | 0.40 |
Average predictability
The Hartford Total has average predictability. Overlapping area represents the amount of predictability between Hartford Total time series from 29th of March 2024 to 13th of April 2024 and 13th of April 2024 to 28th 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 Total price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Hartford Total price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Hartford Total lagged returns against current returns
Autocorrelation, which is Hartford Total 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 Total's mutual fund expected returns. We can calculate the autocorrelation of Hartford Total returns to help us make a trade decision. For example, suppose you find that Hartford Total 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 Total 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 Total mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Total 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 Total mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hartford Total Lagged Returns
When evaluating Hartford Total's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Total mutual fund have on its future price. Hartford Total 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 Total autocorrelation shows the relationship between Hartford Total mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Hartford Total.
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 Hartford Total 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, Hartford Total's short interest history, or implied volatility extrapolated from Hartford Total options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Hartford Total Correlation, Hartford Total Volatility and Hartford Total Alpha and Beta module to complement your research on Hartford Total. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Hartford Total 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.