Harbor Etf Trust Etf Market Value
| MAPP Etf | 24.01 0.03 0.13% |
| 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.
| 09/05/2024 |
| 12/04/2024 |
If you would invest 0.00 in Harbor ETF on September 5, 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 90 days. Harbor ETF is related to or competes with Tidal Trust, SPDR SSgA, SPDR SSgA, Investment Managers, Cambria Global, and First Trust. MAP Pharmaceuticals, Inc., a development stage company, focuses on the enhancement of the therapeutic benefits and commercial attractiveness of proven drugs in the field of neurology through its formulation and inhalation technologies. 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 | 0.6254 | |||
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 2.62 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.9036 |
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 | 0.0729 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0993 |
Harbor ETF Trust Backtested Returns
Currently, Harbor ETF Trust is very steady. Harbor ETF Trust holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Harbor ETF Trust, which you can use to evaluate the volatility of the entity. Please check out Harbor ETF's Risk Adjusted Performance of 0.0729, market risk adjusted performance of 0.1093, and Downside Deviation of 0.6254 to validate if the risk estimate we provide is consistent with the expected return of 0.0856%. The etf retains a Market Volatility (i.e., Beta) of 0.47, which attests to possible diversification benefits within a given portfolio. 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 | 0.50 |
Modest predictability
Harbor ETF Trust has modest predictability. Overlapping area represents the amount of predictability between Harbor ETF time series from 5th of September 2024 to 20th of October 2024 and 20th of October 2024 to 4th 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 Harbor ETF Trust price movement. The serial correlation of 0.5 indicates that about 50.0% of current Harbor ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
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 |
Pair Trading with Harbor ETF
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 Harbor ETF 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 Harbor ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with Harbor Etf
| 0.97 | AOA | iShares Core Aggressive | PairCorr |
| 0.8 | RLY | SPDR SSgA Multi | PairCorr |
| 0.94 | GAL | SPDR SSgA Global | PairCorr |
Moving against Harbor Etf
| 0.85 | FNGD | MicroSectors FANG Index | PairCorr |
| 0.53 | HUM | Humana Inc Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.33 | NTSI | WisdomTree International | PairCorr |
The ability to find closely correlated positions to Harbor ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Harbor ETF 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 Harbor ETF - 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 Harbor ETF Trust to buy it.
The correlation of Harbor ETF 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 Harbor ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Harbor ETF Trust 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 Harbor ETF 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 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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.