Rbc Quant Dividend Etf Market Value
RUDH Etf | CAD 26.28 0.23 0.88% |
Symbol | RBC |
RBC Quant '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 RBC Quant'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 RBC Quant.
11/06/2023 |
| 11/30/2024 |
If you would invest 0.00 in RBC Quant on November 6, 2023 and sell it all today you would earn a total of 0.00 from holding RBC Quant Dividend or generate 0.0% return on investment in RBC Quant over 390 days. RBC Quant is related to or competes with Vanguard Dividend, Vanguard Total, Vanguard FTSE, Vanguard FTSE, and Vanguard FTSE. The fund seeks to provide unitholders with exposure to the performance of a diversified portfolio of high-quality U.S More
RBC Quant 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 RBC Quant'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 RBC Quant Dividend upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 9.4 | |||
Information Ratio | 0.0523 | |||
Maximum Drawdown | 150.8 | |||
Value At Risk | (0.82) | |||
Potential Upside | 1.28 |
RBC Quant Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RBC Quant's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RBC Quant's standard deviation. In reality, there are many statistical measures that can use RBC Quant historical prices to predict the future RBC Quant's volatility.Risk Adjusted Performance | 0.0569 | |||
Jensen Alpha | 0.5688 | |||
Total Risk Alpha | (1.47) | |||
Sortino Ratio | 0.0777 | |||
Treynor Ratio | 0.3791 |
RBC Quant Dividend Backtested Returns
RBC Quant appears to be slightly risky, given 3 months investment horizon. RBC Quant Dividend retains Efficiency (Sharpe Ratio) of 0.065, which implies the etf had a 0.065% return per unit of risk over the last 3 months. By evaluating RBC Quant's technical indicators, you can evaluate if the expected return of 0.92% is justified by implied risk. Please evaluate RBC Quant's market risk adjusted performance of 0.3891, and Semi Deviation of 6.41 to confirm if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 2.26, which implies 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, RBC Quant will likely underperform.
Auto-correlation | 0.44 |
Average predictability
RBC Quant Dividend has average predictability. Overlapping area represents the amount of predictability between RBC Quant time series from 6th of November 2023 to 19th of May 2024 and 19th of May 2024 to 30th 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 RBC Quant Dividend price movement. The serial correlation of 0.44 indicates that just about 44.0% of current RBC Quant price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.44 | |
Spearman Rank Test | 0.86 | |
Residual Average | 0.0 | |
Price Variance | 6.12 |
RBC Quant Dividend lagged returns against current returns
Autocorrelation, which is RBC Quant 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 RBC Quant's etf expected returns. We can calculate the autocorrelation of RBC Quant returns to help us make a trade decision. For example, suppose you find that RBC Quant 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 |
RBC Quant 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 RBC Quant etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if RBC Quant etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in RBC Quant etf over time.
Current vs Lagged Prices |
Timeline |
RBC Quant Lagged Returns
When evaluating RBC Quant's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of RBC Quant etf have on its future price. RBC Quant 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, RBC Quant autocorrelation shows the relationship between RBC Quant etf current value and its past values and can show if there is a momentum factor associated with investing in RBC Quant Dividend.
Regressed Prices |
Timeline |
Pair Trading with RBC Quant
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 RBC Quant 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 RBC Quant will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to RBC Quant could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace RBC Quant 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 RBC Quant - 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 RBC Quant Dividend to buy it.
The correlation of RBC Quant 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 RBC Quant moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if RBC Quant Dividend 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 RBC Quant 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.Other Information on Investing in RBC Etf
RBC Quant financial ratios help investors to determine whether RBC Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in RBC with respect to the benefits of owning RBC Quant security.