The Hartford Growth Fund Market Value
| HGOIX Fund | USD 52.65 0.29 0.55% |
| Symbol | Hartford |
Hartford Growth '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 Growth'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 Growth.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Hartford Growth on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding The Hartford Growth or generate 0.0% return on investment in Hartford Growth over 30 days. Hartford Growth is related to or competes with Amana Income, Amana Income, Amana Developing, and Amana Developing. The fund invests primarily in a diversified portfolio of common stocks covering a broad range of industries, companies a... More
Hartford Growth 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 Growth'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 Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.22 | |||
| Information Ratio | 0.028 | |||
| Maximum Drawdown | 6.89 | |||
| Value At Risk | (2.11) | |||
| Potential Upside | 2.07 |
Hartford Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Growth's standard deviation. In reality, there are many statistical measures that can use Hartford Growth historical prices to predict the future Hartford Growth's volatility.| Risk Adjusted Performance | 0.0687 | |||
| Jensen Alpha | 0.1337 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0296 | |||
| Treynor Ratio | (0.85) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Growth'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 Growth Backtested Returns
We consider Hartford Growth very steady. Hartford Growth holds Efficiency (Sharpe) Ratio of 0.091, which attests that the entity had a 0.091% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hartford Growth, which you can use to evaluate the volatility of the entity. Please check out Hartford Growth's Market Risk Adjusted Performance of (0.84), risk adjusted performance of 0.0687, and Downside Deviation of 1.22 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 -0.14, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hartford Growth are expected to decrease at a much lower rate. During the bear market, Hartford Growth is likely to outperform the market.
Auto-correlation | 0.32 |
Below average predictability
The Hartford Growth has below average predictability. Overlapping area represents the amount of predictability between Hartford Growth time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Growth price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Hartford Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 1.55 |
Hartford Growth lagged returns against current returns
Autocorrelation, which is Hartford Growth 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 Growth's mutual fund expected returns. We can calculate the autocorrelation of Hartford Growth returns to help us make a trade decision. For example, suppose you find that Hartford Growth 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 Growth 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 Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Growth 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 Growth mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hartford Growth Lagged Returns
When evaluating Hartford Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Growth mutual fund have on its future price. Hartford Growth 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 Growth autocorrelation shows the relationship between Hartford Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Hartford Growth.
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 Growth 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 Growth's short interest history, or implied volatility extrapolated from Hartford Growth options trading.
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Hartford Growth 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.