Hartford Multifactor Developed Etf Market Value
RODM Etf | USD 29.94 0.35 1.18% |
Symbol | Hartford |
The market value of Hartford Multifactor 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 Multifactor's value that differs from its market value or its book value, called intrinsic value, which is Hartford Multifactor'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 Multifactor's market value can be influenced by many factors that don't directly affect Hartford Multifactor'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 Multifactor's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hartford Multifactor is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hartford Multifactor'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 Multifactor '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 Multifactor'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 Multifactor.
11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Hartford Multifactor on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Hartford Multifactor Developed or generate 0.0% return on investment in Hartford Multifactor over 30 days. Hartford Multifactor is related to or competes with Schwab Fundamental, Schwab Fundamental, Schwab Fundamental, Schwab Fundamental, and Schwab International. The fund generally invests at least 80 percent of its assets in securities included in the index and in depositary recei... More
Hartford Multifactor 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 Multifactor'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 Multifactor Developed upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.22) | |||
Maximum Drawdown | 2.91 | |||
Value At Risk | (0.94) | |||
Potential Upside | 1.03 |
Hartford Multifactor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Multifactor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Multifactor's standard deviation. In reality, there are many statistical measures that can use Hartford Multifactor historical prices to predict the future Hartford Multifactor's volatility.Risk Adjusted Performance | (0) | |||
Jensen Alpha | (0.05) | |||
Total Risk Alpha | (0.12) | |||
Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Multifactor'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 Multifactor Backtested Returns
As of now, Hartford Etf is very steady. Hartford Multifactor holds Efficiency (Sharpe) Ratio of 0.0105, which attests that the entity had a 0.0105% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Hartford Multifactor, which you can use to evaluate the volatility of the entity. Please check out Hartford Multifactor's Standard Deviation of 0.6414, market risk adjusted performance of (0.03), and insignificant Risk Adjusted Performance to validate if the risk estimate we provide is consistent with the expected return of 0.0067%. The etf retains a Market Volatility (i.e., Beta) of 0.33, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hartford Multifactor's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hartford Multifactor is expected to be smaller as well.
Auto-correlation | -0.61 |
Very good reverse predictability
Hartford Multifactor Developed has very good reverse predictability. Overlapping area represents the amount of predictability between Hartford Multifactor time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 Multifactor price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Hartford Multifactor price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.61 | |
Spearman Rank Test | -0.58 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
Hartford Multifactor lagged returns against current returns
Autocorrelation, which is Hartford Multifactor 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 Multifactor's etf expected returns. We can calculate the autocorrelation of Hartford Multifactor returns to help us make a trade decision. For example, suppose you find that Hartford Multifactor 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 Multifactor 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 Multifactor etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Multifactor etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hartford Multifactor etf over time.
Current vs Lagged Prices |
Timeline |
Hartford Multifactor Lagged Returns
When evaluating Hartford Multifactor's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Multifactor etf have on its future price. Hartford Multifactor 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 Multifactor autocorrelation shows the relationship between Hartford Multifactor etf current value and its past values and can show if there is a momentum factor associated with investing in Hartford Multifactor Developed.
Regressed Prices |
Timeline |
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Hartford Multifactor 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.