Fidelity Value Etf Market Value
| FCUV Etf | CAD 20.50 0.07 0.34% |
| Symbol | Fidelity |
Fidelity Value '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 Fidelity Value'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 Fidelity Value.
| 05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in Fidelity Value on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Value ETF or generate 0.0% return on investment in Fidelity Value over 180 days. Fidelity Value is related to or competes with Fidelity Canadian, Fidelity High, Fidelity International, and Fidelity Canadian. FIDELITY is traded on Toronto Stock Exchange in Canada. More
Fidelity Value 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 Fidelity Value'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 Fidelity Value ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6658 | |||
| Information Ratio | 0.1053 | |||
| Maximum Drawdown | 6.61 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.4 |
Fidelity Value Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Value's standard deviation. In reality, there are many statistical measures that can use Fidelity Value historical prices to predict the future Fidelity Value's volatility.| Risk Adjusted Performance | 0.1854 | |||
| Jensen Alpha | 0.1341 | |||
| Total Risk Alpha | 0.0697 | |||
| Sortino Ratio | 0.1533 | |||
| Treynor Ratio | 0.303 |
Fidelity Value ETF Backtested Returns
Fidelity Value appears to be out of control, given 3 months investment horizon. Fidelity Value ETF secures Sharpe Ratio (or Efficiency) of 0.24, which denotes the etf had a 0.24% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity Value ETF, which you can use to evaluate the volatility of the entity. Please utilize Fidelity Value's Coefficient Of Variation of 417.11, downside deviation of 0.6658, and Mean Deviation of 0.6436 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.73, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Value's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Value is expected to be smaller as well.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Fidelity Value ETF has insignificant reverse predictability. Overlapping area represents the amount of predictability between Fidelity Value time series from 31st of May 2024 to 29th of August 2024 and 29th of August 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 Fidelity Value ETF price movement. The serial correlation of -0.18 indicates that over 18.0% of current Fidelity Value price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.92 |
Fidelity Value ETF lagged returns against current returns
Autocorrelation, which is Fidelity Value 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 Fidelity Value's etf expected returns. We can calculate the autocorrelation of Fidelity Value returns to help us make a trade decision. For example, suppose you find that Fidelity Value 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 |
Fidelity Value 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 Fidelity Value etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Value etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Value etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Value Lagged Returns
When evaluating Fidelity Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Value etf have on its future price. Fidelity Value 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, Fidelity Value autocorrelation shows the relationship between Fidelity Value etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Value ETF.
Regressed Prices |
| Timeline |
Pair Trading with Fidelity Value
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 Fidelity Value 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 Fidelity Value will appreciate offsetting losses from the drop in the long position's value.Moving together with Fidelity Etf
| 0.95 | XSP | iShares Core SP | PairCorr |
| 0.99 | ZSP | BMO SP 500 | PairCorr |
| 0.99 | VFV | Vanguard SP 500 | PairCorr |
| 0.99 | HXS | Global X SP | PairCorr |
| 0.99 | XUS | iShares Core SP | PairCorr |
Moving against Fidelity Etf
| 0.95 | HXD | BetaPro SPTSX 60 | PairCorr |
| 0.93 | HIU | BetaPro SP 500 | PairCorr |
| 0.9 | HQD | BetaPro NASDAQ 100 | PairCorr |
| 0.6 | HED | BetaPro SPTSX Capped | PairCorr |
| 0.53 | HUN | Global X Natural | PairCorr |
The ability to find closely correlated positions to Fidelity Value could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity Value 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 Fidelity Value - 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 Fidelity Value ETF to buy it.
The correlation of Fidelity Value 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 Fidelity Value moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Value ETF 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 Fidelity Value 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 Fidelity Etf
Fidelity Value financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Value security.