Harbor Etf Trust Etf Market Value
| EFFI Etf | USD 19.55 0.32 1.66% |
| Symbol | Harbor |
The market value of Harbor ETF Trust is measured differently than its book value, which is the value of Harbor that is recorded on the company's balance sheet. Investors also form their own opinion of Harbor ETF's value that differs from its market value or its book value, called intrinsic value, which is Harbor ETF'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 Harbor ETF's market value can be influenced by many factors that don't directly affect Harbor ETF'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 Harbor ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Harbor ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Harbor ETF'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.
Harbor ETF '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 Harbor ETF'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 Harbor ETF.
| 12/24/2024 |
| 01/23/2025 |
If you would invest 0.00 in Harbor ETF on December 24, 2024 and sell it all today you would earn a total of 0.00 from holding Harbor ETF Trust or generate 0.0% return on investment in Harbor ETF over 30 days. Harbor ETF is related to or competes with Global X, JPMorgan Active, Main International, Global X, FT Cboe, Xtrackers California, and GraniteShares 125x. Nexteligent Holdings, Inc. operates as an aggregator of healthcare professional services and technology firms More
Harbor ETF 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 Harbor ETF'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 Harbor ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.899 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 2.53 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.22 |
Harbor ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harbor ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harbor ETF's standard deviation. In reality, there are many statistical measures that can use Harbor ETF historical prices to predict the future Harbor ETF's volatility.| Risk Adjusted Performance | 0.0046 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.03) |
Harbor ETF Trust Backtested Returns
Harbor ETF is very steady at the moment. Harbor ETF Trust holds Efficiency (Sharpe) Ratio of close to zero, which attests that the entity had a close to zero % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Harbor ETF Trust, which you can use to evaluate the volatility of the entity. Please check out Harbor ETF's Market Risk Adjusted Performance of (0.02), downside deviation of 0.899, and Risk Adjusted Performance of 0.0046 to validate if the risk estimate we provide is consistent with the expected return of 0.005%. The etf retains a Market Volatility (i.e., Beta) of 0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Harbor ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Harbor ETF is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
Harbor ETF Trust has weak predictability. Overlapping area represents the amount of predictability between Harbor ETF time series from 24th of December 2024 to 8th of January 2025 and 8th of January 2025 to 23rd of January 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 Harbor ETF Trust price movement. The serial correlation of 0.21 indicates that over 21.0% of current Harbor ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Harbor ETF Trust lagged returns against current returns
Autocorrelation, which is Harbor ETF 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 Harbor ETF's etf expected returns. We can calculate the autocorrelation of Harbor ETF returns to help us make a trade decision. For example, suppose you find that Harbor ETF 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 |
Harbor ETF 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 Harbor ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harbor ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harbor ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Harbor ETF Lagged Returns
When evaluating Harbor ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harbor ETF etf have on its future price. Harbor ETF 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, Harbor ETF autocorrelation shows the relationship between Harbor ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Harbor ETF Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Harbor ETF Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Harbor Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Harbor Etf Trust Etf. Highlighted below are key reports to facilitate an investment decision about Harbor Etf Trust Etf:Check out Harbor ETF Correlation, Harbor ETF Volatility and Harbor ETF Alpha and Beta module to complement your research on Harbor ETF. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Harbor ETF 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.