Invesco Kbw Regional Etf Market Value
| KBWR Etf | USD 60.23 0.11 0.18% |
| Symbol | Invesco |
The market value of Invesco KBW Regional 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 KBW's value that differs from its market value or its book value, called intrinsic value, which is Invesco KBW'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 KBW's market value can be influenced by many factors that don't directly affect Invesco KBW'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 KBW's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco KBW is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco KBW'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 KBW '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 KBW'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 KBW.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in Invesco KBW on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding Invesco KBW Regional or generate 0.0% return on investment in Invesco KBW over 30 days. Invesco KBW is related to or competes with First Trust, Invesco KBW, Invesco KBW, Invesco SP, and First Trust. The fund generally will invest at least 90 percent of its total assets in the securities that comprise the underlying in... More
Invesco KBW 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 KBW'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 KBW Regional upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 7.54 | |||
| Value At Risk | (2.58) | |||
| Potential Upside | 2.13 |
Invesco KBW Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco KBW's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco KBW's standard deviation. In reality, there are many statistical measures that can use Invesco KBW historical prices to predict the future Invesco KBW's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | (0.1) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco KBW'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.
Invesco KBW Regional Backtested Returns
Invesco KBW Regional 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. Invesco KBW Regional exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Invesco KBW's Standard Deviation of 1.48, market risk adjusted performance of (0.09), and Risk Adjusted Performance of (0.04) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 1.11, which attests to a somewhat significant risk relative to the market. Invesco KBW returns are very sensitive to returns on the market. As the market goes up or down, Invesco KBW is expected to follow.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Invesco KBW Regional has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Invesco KBW time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 2025. 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 KBW Regional price movement. The serial correlation of -0.8 indicates that around 80.0% of current Invesco KBW price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 1.9 |
Invesco KBW Regional lagged returns against current returns
Autocorrelation, which is Invesco KBW 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 KBW's etf expected returns. We can calculate the autocorrelation of Invesco KBW returns to help us make a trade decision. For example, suppose you find that Invesco KBW 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 KBW 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 KBW etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco KBW etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco KBW etf over time.
Current vs Lagged Prices |
| Timeline |
Invesco KBW Lagged Returns
When evaluating Invesco KBW's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco KBW etf have on its future price. Invesco KBW 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 KBW autocorrelation shows the relationship between Invesco KBW etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco KBW Regional.
Regressed Prices |
| Timeline |
Pair Trading with Invesco KBW
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 KBW 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 KBW will appreciate offsetting losses from the drop in the long position's value.Moving together with Invesco Etf
| 0.67 | VFH | Vanguard Financials Index | PairCorr |
| 0.93 | KRE | SPDR SP Regional | PairCorr |
| 0.93 | KBE | SPDR SP Bank | PairCorr |
| 0.72 | IYF | iShares Financials ETF | PairCorr |
Moving against Invesco Etf
The ability to find closely correlated positions to Invesco KBW 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 KBW 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 KBW - 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 KBW Regional to buy it.
The correlation of Invesco KBW 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 KBW moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Invesco KBW Regional 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 KBW 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 KBW Correlation, Invesco KBW Volatility and Invesco KBW Alpha and Beta module to complement your research on Invesco KBW. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Invesco KBW 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.