Hartford Moderate Allocation Fund Market Value
HBARX Fund | USD 12.11 0.07 0.58% |
Symbol | Hartford |
Hartford Moderate '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 Moderate'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 Moderate.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Hartford Moderate on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Hartford Moderate Allocation or generate 0.0% return on investment in Hartford Moderate over 30 days. Hartford Moderate is related to or competes with State Farm, Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, and Hartford Growth. The fund seeks to meet its investment objective through investment in a combination of other mutual funds and ETFs advis... More
Hartford Moderate 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 Moderate'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 Moderate Allocation upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4362 | |||
Information Ratio | (0.11) | |||
Maximum Drawdown | 2.08 | |||
Value At Risk | (0.61) | |||
Potential Upside | 0.7799 |
Hartford Moderate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Moderate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Moderate's standard deviation. In reality, there are many statistical measures that can use Hartford Moderate historical prices to predict the future Hartford Moderate's volatility.Risk Adjusted Performance | 0.11 | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | (0.11) | |||
Treynor Ratio | 0.1089 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Moderate'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 Moderate Backtested Returns
We consider Hartford Moderate very steady. Hartford Moderate holds Efficiency (Sharpe) Ratio of 0.19, which attests that the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hartford Moderate, which you can use to evaluate the volatility of the entity. Please check out Hartford Moderate's Risk Adjusted Performance of 0.11, downside deviation of 0.4362, and Market Risk Adjusted Performance of 0.1189 to validate if the risk estimate we provide is consistent with the expected return of 0.0829%. The fund retains a Market Volatility (i.e., Beta) of 0.71, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hartford Moderate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hartford Moderate is expected to be smaller as well.
Auto-correlation | 0.73 |
Good predictability
Hartford Moderate Allocation has good predictability. Overlapping area represents the amount of predictability between Hartford Moderate time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Moderate price movement. The serial correlation of 0.73 indicates that around 73.0% of current Hartford Moderate price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.73 | |
Spearman Rank Test | 0.76 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Hartford Moderate lagged returns against current returns
Autocorrelation, which is Hartford Moderate 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 Moderate's mutual fund expected returns. We can calculate the autocorrelation of Hartford Moderate returns to help us make a trade decision. For example, suppose you find that Hartford Moderate 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 Moderate 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 Moderate mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Moderate 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 Moderate mutual fund over time.
Current vs Lagged Prices |
Timeline |
Hartford Moderate Lagged Returns
When evaluating Hartford Moderate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Moderate mutual fund have on its future price. Hartford Moderate 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 Moderate autocorrelation shows the relationship between Hartford Moderate mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Hartford Moderate Allocation.
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 Moderate 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 Moderate's short interest history, or implied volatility extrapolated from Hartford Moderate options trading.
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When running Hartford Moderate's price analysis, check to measure Hartford Moderate's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Hartford Moderate is operating at the current time. Most of Hartford Moderate's value examination focuses on studying past and present price action to predict the probability of Hartford Moderate's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hartford Moderate's price. Additionally, you may evaluate how the addition of Hartford Moderate to your portfolios can decrease your overall portfolio volatility.
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Hartford Moderate 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.