Fidelity International High Etf Market Value
| FCID Etf | CAD 36.75 0.04 0.11% |
| Symbol | Fidelity |
Fidelity International '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 International'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 International.
| 11/29/2025 |
| 02/27/2026 |
If you would invest 0.00 in Fidelity International on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity International High or generate 0.0% return on investment in Fidelity International over 90 days. Fidelity International is related to or competes with Fidelity Value, Invesco RAFI, IShares Global, Purpose International, IShares High, Fidelity High, and TD International. Fidelity International High Dividend Index ETF seeks to replicate, to the extent reasonably possible and before fees and... More
Fidelity International 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 International'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 International High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6276 | |||
| Information Ratio | 0.1357 | |||
| Maximum Drawdown | 2.93 | |||
| Value At Risk | (0.91) | |||
| Potential Upside | 1.2 |
Fidelity International Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity International's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity International's standard deviation. In reality, there are many statistical measures that can use Fidelity International historical prices to predict the future Fidelity International's volatility.| Risk Adjusted Performance | 0.2466 | |||
| Jensen Alpha | 0.154 | |||
| Total Risk Alpha | 0.1047 | |||
| Sortino Ratio | 0.1385 | |||
| Treynor Ratio | 0.495 |
Fidelity International February 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2466 | |||
| Market Risk Adjusted Performance | 0.505 | |||
| Mean Deviation | 0.4704 | |||
| Semi Deviation | 0.2602 | |||
| Downside Deviation | 0.6276 | |||
| Coefficient Of Variation | 306.39 | |||
| Standard Deviation | 0.6406 | |||
| Variance | 0.4104 | |||
| Information Ratio | 0.1357 | |||
| Jensen Alpha | 0.154 | |||
| Total Risk Alpha | 0.1047 | |||
| Sortino Ratio | 0.1385 | |||
| Treynor Ratio | 0.495 | |||
| Maximum Drawdown | 2.93 | |||
| Value At Risk | (0.91) | |||
| Potential Upside | 1.2 | |||
| Downside Variance | 0.3939 | |||
| Semi Variance | 0.0677 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.20) | |||
| Kurtosis | 1.09 |
Fidelity International Backtested Returns
Fidelity International appears to be very steady, given 3 months investment horizon. Fidelity International secures Sharpe Ratio (or Efficiency) of 0.3, which denotes the etf had a 0.3 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity International High, which you can use to evaluate the volatility of the entity. Please utilize Fidelity International's Downside Deviation of 0.6276, mean deviation of 0.4704, and Coefficient Of Variation of 306.39 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.4, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity International's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity International is expected to be smaller as well.
Auto-correlation | 0.92 |
Excellent predictability
Fidelity International High has excellent predictability. Overlapping area represents the amount of predictability between Fidelity International time series from 29th of November 2025 to 13th of January 2026 and 13th of January 2026 to 27th of February 2026. 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 International price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Fidelity International price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.67 |
Pair Trading with Fidelity International
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 International 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 International will appreciate offsetting losses from the drop in the long position's value.Moving together with Fidelity Etf
| 0.99 | XEF | iShares Core MSCI | PairCorr |
| 0.99 | ZEA | BMO MSCI EAFE | PairCorr |
| 0.99 | VIU | Vanguard FTSE Developed | PairCorr |
| 0.98 | XIN | iShares MSCI EAFE | PairCorr |
| 0.98 | XFH | iShares Core MSCI | PairCorr |
The ability to find closely correlated positions to Fidelity International 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 International 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 International - 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 International High to buy it.
The correlation of Fidelity International 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 International moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity International 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 International 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 Fidelity International Correlation, Fidelity International Volatility and Fidelity International Performance module to complement your research on Fidelity International. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Fidelity International 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.