Invesco China Technology Etf Market Value
| CQQQ Etf | USD 38.84 0.45 1.15% |
| Symbol | Invesco |
The market value of Invesco China Technology 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 China's value that differs from its market value or its book value, called intrinsic value, which is Invesco China'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 China's market value can be influenced by many factors that don't directly affect Invesco China'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 China's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco China is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco China'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 China '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 China'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 China.
| 08/29/2024 |
| 11/27/2024 |
If you would invest 0.00 in Invesco China on August 29, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco China Technology or generate 0.0% return on investment in Invesco China over 90 days. Invesco China is related to or competes with KraneShares CSI, IShares MSCI, Global X, Xtrackers Harvest, and EMQQ Emerging. The fund generally will invest at least 90 percent of its total assets in securities that comprise the underlying index,... More
Invesco China 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 China'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 China Technology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.94 | |||
| Information Ratio | 0.0726 | |||
| Maximum Drawdown | 20.89 | |||
| Value At Risk | (3.71) | |||
| Potential Upside | 6.95 |
Invesco China Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco China's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco China's standard deviation. In reality, there are many statistical measures that can use Invesco China historical prices to predict the future Invesco China's volatility.| Risk Adjusted Performance | 0.0917 | |||
| Jensen Alpha | 0.335 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0868 | |||
| Treynor Ratio | 1.12 |
Invesco China Technology Backtested Returns
Invesco China appears to be very steady, given 3 months investment horizon. Invesco China Technology holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for Invesco China Technology, which you can use to evaluate the volatility of the entity. Please utilize Invesco China's Market Risk Adjusted Performance of 1.13, downside deviation of 2.94, and Risk Adjusted Performance of 0.0917 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.34, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Invesco China's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco China is expected to be smaller as well.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Invesco China Technology has insignificant reverse predictability. Overlapping area represents the amount of predictability between Invesco China time series from 29th of August 2024 to 13th of October 2024 and 13th of October 2024 to 27th 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 China Technology price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Invesco China price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 1.59 |
Invesco China Technology lagged returns against current returns
Autocorrelation, which is Invesco China 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 China's etf expected returns. We can calculate the autocorrelation of Invesco China returns to help us make a trade decision. For example, suppose you find that Invesco China 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 China 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 China etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco China etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco China etf over time.
Current vs Lagged Prices |
| Timeline |
Invesco China Lagged Returns
When evaluating Invesco China's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco China etf have on its future price. Invesco China 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 China autocorrelation shows the relationship between Invesco China etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco China Technology.
Regressed Prices |
| Timeline |
Pair Trading with Invesco China
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 Invesco China 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 Invesco China will appreciate offsetting losses from the drop in the long position's value.Moving together with Invesco Etf
| 0.96 | KWEB | KraneShares CSI China Sell-off Trend | PairCorr |
| 0.97 | FXI | iShares China Large | PairCorr |
| 0.98 | ASHR | Xtrackers Harvest CSI | PairCorr |
| 0.98 | GXC | SPDR SP China | PairCorr |
The ability to find closely correlated positions to Invesco China could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Invesco China 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 Invesco China - 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 Invesco China Technology to buy it.
The correlation of Invesco China 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 Invesco China moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Invesco China Technology 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 Invesco China 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 Invesco China Correlation, Invesco China Volatility and Invesco China Alpha and Beta module to complement your research on Invesco China. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Invesco China 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.