Hartford Quality Growth Etf Market Value
| HQGO Etf | 60.99 0.21 0.35% |
| Symbol | Hartford |
The market value of Hartford Quality Growth is measured differently than its book value, which is the value of Hartford that is recorded on the company's balance sheet. Investors also form their own opinion of Hartford Quality's value that differs from its market value or its book value, called intrinsic value, which is Hartford Quality's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Hartford Quality's market value can be influenced by many factors that don't directly affect Hartford Quality's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Hartford Quality's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hartford Quality is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hartford Quality's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Hartford Quality '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 Quality's etf 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 Quality.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in Hartford Quality on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding Hartford Quality Growth or generate 0.0% return on investment in Hartford Quality over 30 days. Hartford Quality is related to or competes with REX VolMAXX, Fidelity Metaverse, Franklin FTSE, Innovator Uncapped, Pacer Swan, Invesco Active, and Invesco DWA. Hartford Quality is entity of United States More
Hartford Quality 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 Quality's etf 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 Quality Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.08 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.75 | |||
| Value At Risk | (1.50) | |||
| Potential Upside | 1.34 |
Hartford Quality Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Quality's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Quality's standard deviation. In reality, there are many statistical measures that can use Hartford Quality historical prices to predict the future Hartford Quality's volatility.| Risk Adjusted Performance | 0.0473 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0468 |
Hartford Quality Growth Backtested Returns
As of now, Hartford Etf is very steady. Hartford Quality Growth holds Efficiency (Sharpe) Ratio of 0.068, which attests that the entity had a 0.068 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hartford Quality Growth, which you can use to evaluate the volatility of the entity. Please check out Hartford Quality's Risk Adjusted Performance of 0.0473, market risk adjusted performance of 0.0568, and Downside Deviation of 1.08 to validate if the risk estimate we provide is consistent with the expected return of 0.0616%. The etf retains a Market Volatility (i.e., Beta) of 1.01, which attests to a somewhat significant risk relative to the market. Hartford Quality returns are very sensitive to returns on the market. As the market goes up or down, Hartford Quality is expected to follow.
Auto-correlation | 0.27 |
Poor predictability
Hartford Quality Growth has poor predictability. Overlapping area represents the amount of predictability between Hartford Quality time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 2025. 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 Quality Growth price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Hartford Quality price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
Hartford Quality Growth lagged returns against current returns
Autocorrelation, which is Hartford Quality etf'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 Quality's etf expected returns. We can calculate the autocorrelation of Hartford Quality returns to help us make a trade decision. For example, suppose you find that Hartford Quality has exhibited high autocorrelation historically, and you observe that the etf 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 Quality 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 Quality etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Quality etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hartford Quality etf over time.
Current vs Lagged Prices |
| Timeline |
Hartford Quality Lagged Returns
When evaluating Hartford Quality's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Quality etf have on its future price. Hartford Quality 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 Quality autocorrelation shows the relationship between Hartford Quality etf current value and its past values and can show if there is a momentum factor associated with investing in Hartford Quality Growth.
Regressed Prices |
| Timeline |
Pair Trading with Hartford Quality
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Hartford Quality position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Hartford Quality will appreciate offsetting losses from the drop in the long position's value.Moving together with Hartford Etf
| 0.91 | VUG | Vanguard Growth Index | PairCorr |
| 0.88 | IWF | iShares Russell 1000 | PairCorr |
| 0.96 | IVW | iShares SP 500 | PairCorr |
| 0.95 | SPYG | SPDR Portfolio SP | PairCorr |
| 0.96 | IUSG | iShares Core SP | PairCorr |
The ability to find closely correlated positions to Hartford Quality could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hartford Quality when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Hartford Quality - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Hartford Quality Growth to buy it.
The correlation of Hartford Quality is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Hartford Quality moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hartford Quality Growth moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Hartford Quality can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Hartford Quality Correlation, Hartford Quality Volatility and Hartford Quality Alpha and Beta module to complement your research on Hartford Quality. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Hartford Quality technical etf 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, etf market cycles, or different charting patterns.