Harbor Etf Trust Etf Market Value

HAPS Etf   32.00  0.09  0.28%   
Harbor ETF's market value is the price at which a share of Harbor ETF trades on a public exchange. It measures the collective expectations of Harbor ETF Trust investors about its performance. Harbor ETF is selling for under 32.00 as of the 30th of November 2024; that is 0.28 percent up since the beginning of the trading day. The etf's lowest day price was 32.0.
With this module, you can estimate the performance of a buy and hold strategy of Harbor ETF Trust and determine expected loss or profit from investing in Harbor ETF over a given investment horizon. Check out Harbor ETF Correlation, Harbor ETF Volatility and Harbor ETF Alpha and Beta module to complement your research on Harbor ETF.
Symbol

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.
0.00
02/09/2023
No Change 0.00  0.0 
In 1 year 9 months and 23 days
11/30/2024
0.00
If you would invest  0.00  in Harbor ETF on February 9, 2023 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 660 days. Harbor ETF is related to or competes with Harbor Corporate, and Harbor Corporate. Harbor ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. 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.

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.
Hype
Prediction
LowEstimatedHigh
30.7031.9933.28
Details
Intrinsic
Valuation
LowRealHigh
30.2031.4932.78
Details
Naive
Forecast
LowNextHigh
30.7432.0333.32
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
30.2631.4732.69
Details

Harbor ETF Trust Backtested Returns

Harbor ETF appears to be very steady, given 3 months investment horizon. 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 utilize Harbor ETF's Risk Adjusted Performance of 0.1034, market risk adjusted performance of 0.1165, and Downside Deviation of 1.11 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 1.52, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Harbor ETF will likely underperform.

Auto-correlation

    
  0.08  

Virtually no predictability

Harbor ETF Trust has virtually no predictability. Overlapping area represents the amount of predictability between Harbor ETF time series from 9th of February 2023 to 5th of January 2024 and 5th of January 2024 to 30th 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 ETF Trust price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Harbor ETF price fluctuation can be explain by its past prices.
Correlation Coefficient0.08
Spearman Rank Test0.13
Residual Average0.0
Price Variance0.77

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  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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.
A focus of Harbor ETF technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Harbor ETF trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...