The Hartford Emerging Fund Market Value
HLDYX Fund | USD 4.50 0.01 0.22% |
Symbol | The |
The Hartford '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 The Hartford'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 The Hartford.
03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in The Hartford on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding The Hartford Emerging or generate 0.0% return on investment in The Hartford over 30 days. The Hartford is related to or competes with The Hartford, The Hartford, The Hartford, The Hartford, Hartford Growth, The Hartford, and The Hartford. The fund will normally invest at least 80 percent of its assets in local currency-denominated emerging markets debt secu... More
The Hartford 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 The Hartford'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 Emerging upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.33) | |||
Maximum Drawdown | 1.75 | |||
Value At Risk | (0.66) | |||
Potential Upside | 0.4357 |
The Hartford Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for The Hartford's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as The Hartford's standard deviation. In reality, there are many statistical measures that can use The Hartford historical prices to predict the future The Hartford's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.09) | |||
Treynor Ratio | (0.58) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of The Hartford'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 Emerging Backtested Returns
Hartford Emerging owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0946, which indicates the fund had a -0.0946% return per unit of risk over the last 3 months. The Hartford Emerging exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate The Hartford's Variance of 0.1307, coefficient of variation of (1,231), and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The entity has a beta of 0.0681, which indicates not very significant fluctuations relative to the market. As returns on the market increase, the Hartford's returns are expected to increase less than the market. However, during the bear market, the loss of holding the Hartford is expected to be smaller as well.
Auto-correlation | 0.14 |
Insignificant predictability
The Hartford Emerging has insignificant predictability. Overlapping area represents the amount of predictability between The Hartford time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Emerging price movement. The serial correlation of 0.14 indicates that less than 14.0% of current The Hartford price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.14 | |
Spearman Rank Test | -0.39 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Hartford Emerging lagged returns against current returns
Autocorrelation, which is The Hartford 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 The Hartford's mutual fund expected returns. We can calculate the autocorrelation of The Hartford returns to help us make a trade decision. For example, suppose you find that The Hartford 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 |
The Hartford 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 The Hartford mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if The Hartford mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in The Hartford mutual fund over time.
Current vs Lagged Prices |
Timeline |
The Hartford Lagged Returns
When evaluating The Hartford's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of The Hartford mutual fund have on its future price. The Hartford 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, The Hartford autocorrelation shows the relationship between The Hartford mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Hartford Emerging.
Regressed Prices |
Timeline |
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The Hartford 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.