Invesco Nasdaq Internet Etf Market Value
PNQI Etf | USD 46.64 0.30 0.65% |
Symbol | Invesco |
The market value of Invesco NASDAQ Internet is measured differently than its book value, which is the value of Invesco that is recorded on the company's balance sheet. Investors also form their own opinion of Invesco NASDAQ's value that differs from its market value or its book value, called intrinsic value, which is Invesco NASDAQ'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 Invesco NASDAQ's market value can be influenced by many factors that don't directly affect Invesco NASDAQ'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 Invesco NASDAQ's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco NASDAQ is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco NASDAQ'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.
Invesco NASDAQ '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 Invesco NASDAQ'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 Invesco NASDAQ.
10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Invesco NASDAQ on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco NASDAQ Internet or generate 0.0% return on investment in Invesco NASDAQ over 30 days. Invesco NASDAQ is related to or competes with Invesco DWA, Invesco Dynamic, Invesco Dynamic, HUMANA, Barloworld, Morningstar Unconstrained, and High-yield Municipal. The fund generally will invest at least 90 percent of its total assets in the securities that comprise the underlying in... More
Invesco NASDAQ 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 Invesco NASDAQ'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 Invesco NASDAQ Internet upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.12 | |||
Information Ratio | 0.0689 | |||
Maximum Drawdown | 4.96 | |||
Value At Risk | (1.59) | |||
Potential Upside | 1.57 |
Invesco NASDAQ Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco NASDAQ's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco NASDAQ's standard deviation. In reality, there are many statistical measures that can use Invesco NASDAQ historical prices to predict the future Invesco NASDAQ's volatility.Risk Adjusted Performance | 0.1585 | |||
Jensen Alpha | 0.0815 | |||
Total Risk Alpha | 0.035 | |||
Sortino Ratio | 0.0594 | |||
Treynor Ratio | 0.2137 |
Invesco NASDAQ Internet Backtested Returns
Invesco NASDAQ appears to be very steady, given 3 months investment horizon. Invesco NASDAQ Internet holds Efficiency (Sharpe) Ratio of 0.2, which attests that the entity had a 0.2% return per unit of risk over the last 3 months. We have found thirty technical indicators for Invesco NASDAQ Internet, which you can use to evaluate the volatility of the entity. Please utilize Invesco NASDAQ's Risk Adjusted Performance of 0.1585, market risk adjusted performance of 0.2237, and Downside Deviation of 1.12 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.88, which attests to possible diversification benefits within a given portfolio. Invesco NASDAQ returns are very sensitive to returns on the market. As the market goes up or down, Invesco NASDAQ is expected to follow.
Auto-correlation | 0.62 |
Good predictability
Invesco NASDAQ Internet has good predictability. Overlapping area represents the amount of predictability between Invesco NASDAQ time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 Invesco NASDAQ Internet price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Invesco NASDAQ price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.62 | |
Spearman Rank Test | 0.25 | |
Residual Average | 0.0 | |
Price Variance | 0.09 |
Invesco NASDAQ Internet lagged returns against current returns
Autocorrelation, which is Invesco NASDAQ 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 Invesco NASDAQ's etf expected returns. We can calculate the autocorrelation of Invesco NASDAQ returns to help us make a trade decision. For example, suppose you find that Invesco NASDAQ 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 |
Invesco NASDAQ 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 Invesco NASDAQ etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco NASDAQ etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco NASDAQ etf over time.
Current vs Lagged Prices |
Timeline |
Invesco NASDAQ Lagged Returns
When evaluating Invesco NASDAQ's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco NASDAQ etf have on its future price. Invesco NASDAQ 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, Invesco NASDAQ autocorrelation shows the relationship between Invesco NASDAQ etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco NASDAQ Internet.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether Invesco NASDAQ Internet offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Invesco NASDAQ's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Invesco Nasdaq Internet Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Invesco Nasdaq Internet Etf:Check out Invesco NASDAQ Correlation, Invesco NASDAQ Volatility and Invesco NASDAQ Alpha and Beta module to complement your research on Invesco NASDAQ. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Invesco NASDAQ 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.