Invesco Ftse Rafi Etf Market Value
PXC Etf | CAD 37.17 0.31 0.84% |
Symbol | Invesco |
Invesco FTSE '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 FTSE'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 FTSE.
02/24/2024 |
| 04/24/2024 |
If you would invest 0.00 in Invesco FTSE on February 24, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco FTSE RAFI or generate 0.0% return on investment in Invesco FTSE over 60 days. Invesco FTSE is related to or competes with Horizons, and IShares Core. PXC seeks to replicate, to the extent reasonably possible and before fees and expenses, the performance of the FTSE RAFI... More
Invesco FTSE 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 FTSE'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 FTSE RAFI upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.575 | |||
Information Ratio | 0.0092 | |||
Maximum Drawdown | 2.84 | |||
Value At Risk | (0.78) | |||
Potential Upside | 0.8814 |
Invesco FTSE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco FTSE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco FTSE's standard deviation. In reality, there are many statistical measures that can use Invesco FTSE historical prices to predict the future Invesco FTSE's volatility.Risk Adjusted Performance | 0.1073 | |||
Jensen Alpha | 0.0353 | |||
Total Risk Alpha | 0.0112 | |||
Sortino Ratio | 0.0093 | |||
Treynor Ratio | 0.1397 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco FTSE'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 FTSE RAFI Backtested Returns
We consider Invesco FTSE very steady. Invesco FTSE RAFI holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Invesco FTSE RAFI, which you can use to evaluate the volatility of the entity. Please check out Invesco FTSE's Downside Deviation of 0.575, risk adjusted performance of 0.1073, and Market Risk Adjusted Performance of 0.1497 to validate if the risk estimate we provide is consistent with the expected return of 0.0877%. The etf retains a Market Volatility (i.e., Beta) of 0.65, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Invesco FTSE's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco FTSE is expected to be smaller as well.
Auto-correlation | -0.39 |
Poor reverse predictability
Invesco FTSE RAFI has poor reverse predictability. Overlapping area represents the amount of predictability between Invesco FTSE time series from 24th of February 2024 to 25th of March 2024 and 25th of March 2024 to 24th of April 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 FTSE RAFI price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Invesco FTSE price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.39 | |
Spearman Rank Test | -0.46 | |
Residual Average | 0.0 | |
Price Variance | 0.18 |
Invesco FTSE RAFI lagged returns against current returns
Autocorrelation, which is Invesco FTSE 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 FTSE's etf expected returns. We can calculate the autocorrelation of Invesco FTSE returns to help us make a trade decision. For example, suppose you find that Invesco FTSE 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 FTSE 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 FTSE etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco FTSE etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco FTSE etf over time.
Current vs Lagged Prices |
Timeline |
Invesco FTSE Lagged Returns
When evaluating Invesco FTSE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco FTSE etf have on its future price. Invesco FTSE 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 FTSE autocorrelation shows the relationship between Invesco FTSE etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco FTSE RAFI.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Invesco FTSE in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Invesco FTSE's short interest history, or implied volatility extrapolated from Invesco FTSE options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Invesco FTSE RAFI using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Invesco FTSE Correlation, Invesco FTSE Volatility and Invesco FTSE Alpha and Beta module to complement your research on Invesco FTSE. Note that the Invesco FTSE RAFI information on this page should be used as a complementary analysis to other Invesco FTSE's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Invesco FTSE 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.