Harbor Etf Trust Etf Beta
| MAPP Etf | 23.75 0.09 0.38% |
Harbor ETF Trust fundamentals help investors to digest information that contributes to Harbor ETF's financial success or failures. It also enables traders to predict the movement of Harbor Etf. The fundamental analysis module provides a way to measure Harbor ETF's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Harbor ETF etf.
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Harbor ETF Trust ETF Beta Analysis
Harbor ETF's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
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In accordance with the recently published financial statements, Harbor ETF Trust has a Beta of 0.0. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Global Allocation (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
Harbor Beta Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Harbor ETF's direct or indirect competition against its Beta to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Harbor ETF could also be used in its relative valuation, which is a method of valuing Harbor ETF by comparing valuation metrics of similar companies.Harbor ETF is currently under evaluation in beta as compared to similar ETFs.
Harbor Fundamentals
| Return On Asset | -0.29 | |||
| Profit Margin | (1.43) % | |||
| Operating Margin | (1.35) % | |||
| Current Valuation | 291.49 M | |||
| Shares Outstanding | 30.38 M | |||
| Shares Owned By Insiders | 10.32 % | |||
| Shares Owned By Institutions | 86.70 % | |||
| Number Of Shares Shorted | 5.63 M | |||
| Price To Earning | 178.43 X | |||
| Price To Book | 14.90 X | |||
| Price To Sales | 242.85 X | |||
| Revenue | 23.07 M | |||
| Gross Profit | 23.07 M | |||
| EBITDA | (31.17 M) | |||
| Net Income | (32.94 M) | |||
| Cash And Equivalents | 98.82 M | |||
| Cash Per Share | 3.24 X | |||
| Total Debt | 7.58 M | |||
| Debt To Equity | 0.02 % | |||
| Current Ratio | 9.28 X | |||
| Cash Flow From Operations | 29.72 M | |||
| Short Ratio | 1.60 X | |||
| Earnings Per Share | (1.84) X | |||
| Price To Earnings To Growth | (0.29) X | |||
| Number Of Employees | 121 | |||
| Market Capitalization | 401.65 M | |||
| Total Asset | 107.34 M | |||
| Retained Earnings | (272.5 M) | |||
| Working Capital | 86.07 M | |||
| Current Asset | 100.22 M | |||
| Current Liabilities | 14.14 M | |||
| One Year Return | 21.60 % |
About Harbor ETF Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Harbor ETF Trust's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Harbor ETF using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Harbor ETF Trust based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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 |
| 0.62 | HF | Tidal Trust II | PairCorr |
| 0.84 | RLY | SPDR SSgA Multi | PairCorr |
| 0.95 | GAL | SPDR SSgA Global | PairCorr |
Moving against Harbor Etf
| 0.61 | TLT | iShares 20 Year Aggressive Push | 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 Piotroski F Score and Harbor ETF Altman Z Score analysis. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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.