Harbor All Weather Inflation Etf Market Value
| HGER Etf | USD 22.50 0.03 0.13% |
| Symbol | Harbor |
The market value of Harbor All Weather 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 All's value that differs from its market value or its book value, called intrinsic value, which is Harbor All'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 All's market value can be influenced by many factors that don't directly affect Harbor All'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 All's value and its price as these two are different measures arrived at by different means. Investors typically determine if Harbor All is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Harbor All'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 All '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 All'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 All.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Harbor All on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Harbor All Weather Inflation or generate 0.0% return on investment in Harbor All over 720 days. Harbor All is related to or competes with Abrdn Bloomberg, IShares Bloomberg, KraneShares California, and IShares Commodity. Harbor All is entity of United States. It is traded as Etf on NYSE exchange. More
Harbor All 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 All'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 All Weather Inflation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9474 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 1.37 |
Harbor All Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harbor All's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harbor All's standard deviation. In reality, there are many statistical measures that can use Harbor All historical prices to predict the future Harbor All's volatility.| Risk Adjusted Performance | 0.0205 | |||
| Jensen Alpha | 0.0241 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Harbor All'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.
Harbor All Weather Backtested Returns
Currently, Harbor All Weather Inflation is very steady. Harbor All Weather holds Efficiency (Sharpe) Ratio of 0.0433, which attests that the entity had a 0.0433% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Harbor All Weather, which you can use to evaluate the volatility of the entity. Please check out Harbor All's Risk Adjusted Performance of 0.0205, downside deviation of 0.9474, and Market Risk Adjusted Performance of (0.11) to validate if the risk estimate we provide is consistent with the expected return of 0.038%. The etf retains a Market Volatility (i.e., Beta) of -0.0994, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Harbor All are expected to decrease at a much lower rate. During the bear market, Harbor All is likely to outperform the market.
Auto-correlation | -0.01 |
Very weak reverse predictability
Harbor All Weather Inflation has very weak reverse predictability. Overlapping area represents the amount of predictability between Harbor All time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th of November 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 All Weather price movement. The serial correlation of -0.01 indicates that just 1.0% of current Harbor All price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.64 |
Harbor All Weather lagged returns against current returns
Autocorrelation, which is Harbor All 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 All's etf expected returns. We can calculate the autocorrelation of Harbor All returns to help us make a trade decision. For example, suppose you find that Harbor All 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 All 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 All etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harbor All etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harbor All etf over time.
Current vs Lagged Prices |
| Timeline |
Harbor All Lagged Returns
When evaluating Harbor All's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harbor All etf have on its future price. Harbor All 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 All autocorrelation shows the relationship between Harbor All etf current value and its past values and can show if there is a momentum factor associated with investing in Harbor All Weather Inflation.
Regressed Prices |
| Timeline |
Pair Trading with Harbor All
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 All 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 All will appreciate offsetting losses from the drop in the long position's value.Moving together with Harbor Etf
| 0.84 | PDBC | Invesco Optimum Yield | PairCorr |
| 0.97 | FTGC | First Trust Global | PairCorr |
| 0.84 | DBC | Invesco DB Commodity | PairCorr |
| 0.89 | COMT | iShares GSCI Commodity | PairCorr |
| 0.91 | GSG | iShares SP GSCI | PairCorr |
The ability to find closely correlated positions to Harbor All 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 All 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 All - 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 All Weather Inflation to buy it.
The correlation of Harbor All 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 All moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Harbor All Weather 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 All 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 All Correlation, Harbor All Volatility and Harbor All Alpha and Beta module to complement your research on Harbor All. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Harbor All 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.