Harbor Disruptive Innovation Etf Market Value
| INNO Etf | USD 15.27 0.16 1.06% |
| Symbol | Harbor |
The market value of Harbor Disruptive 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 Disruptive's value that differs from its market value or its book value, called intrinsic value, which is Harbor Disruptive'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 Disruptive's market value can be influenced by many factors that don't directly affect Harbor Disruptive'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 Disruptive's value and its price as these two are different measures arrived at by different means. Investors typically determine if Harbor Disruptive is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Harbor Disruptive'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 Disruptive '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 Disruptive'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 Disruptive.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in Harbor Disruptive on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Harbor Disruptive Innovation or generate 0.0% return on investment in Harbor Disruptive over 30 days. Harbor Disruptive is related to or competes with Invesco SP, Invesco SP, Invesco SP, Invesco SP, and Invesco SP. Under normal market conditions, the fund invests primarily in equity securities, principally common stocks, of companies... More
Harbor Disruptive 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 Disruptive'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 Disruptive Innovation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.3 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 5.49 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 1.89 |
Harbor Disruptive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harbor Disruptive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harbor Disruptive's standard deviation. In reality, there are many statistical measures that can use Harbor Disruptive historical prices to predict the future Harbor Disruptive's volatility.| Risk Adjusted Performance | 0.0378 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0362 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Harbor Disruptive'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 Disruptive Backtested Returns
We consider Harbor Disruptive very steady. Harbor Disruptive holds Efficiency (Sharpe) Ratio of 0.0218, which attests that the entity had a 0.0218% return per unit of risk over the last 3 months. We have found thirty technical indicators for Harbor Disruptive, which you can use to evaluate the volatility of the entity. Please check out Harbor Disruptive's Market Risk Adjusted Performance of 0.0462, risk adjusted performance of 0.0378, and Downside Deviation of 1.3 to validate if the risk estimate we provide is consistent with the expected return of 0.0273%. The etf retains a Market Volatility (i.e., Beta) of 1.53, 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 Disruptive will likely underperform.
Auto-correlation | -0.08 |
Very weak reverse predictability
Harbor Disruptive Innovation has very weak reverse predictability. Overlapping area represents the amount of predictability between Harbor Disruptive time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th of May 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 Disruptive price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Harbor Disruptive price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Harbor Disruptive lagged returns against current returns
Autocorrelation, which is Harbor Disruptive 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 Disruptive's etf expected returns. We can calculate the autocorrelation of Harbor Disruptive returns to help us make a trade decision. For example, suppose you find that Harbor Disruptive 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 Disruptive 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 Disruptive etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harbor Disruptive etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harbor Disruptive etf over time.
Current vs Lagged Prices |
| Timeline |
Harbor Disruptive Lagged Returns
When evaluating Harbor Disruptive's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harbor Disruptive etf have on its future price. Harbor Disruptive 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 Disruptive autocorrelation shows the relationship between Harbor Disruptive etf current value and its past values and can show if there is a momentum factor associated with investing in Harbor Disruptive Innovation.
Regressed Prices |
| Timeline |
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Harbor Disruptive 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.