ITETF Correlations
| ITETF Etf | 44.16 0.17 0.39% |
The current 90-days correlation between ITETF and Kingfa Science Technology is 0.05 (i.e., Significant diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ITETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ITETF moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
ITETF Correlation With Market
Weak diversification
The correlation between ITETF and DJI is 0.32 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding ITETF and DJI in the same portfolio, assuming nothing else is changed.
ITETF |
The ability to find closely correlated positions to ITETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ITETF 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 ITETF - 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 ITETF to buy it.
Related Correlations Analysis
| Click cells to compare fundamentals | Check Volatility | Backtest Portfolio |
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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ITETF Competition Risk-Adjusted Indicators
There is a big difference between ITETF Etf performing well and ITETF ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze ITETF's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| META | 1.06 | 0.06 | 0.02 | 0.20 | 1.40 | 2.62 | 8.02 | |||
| MSFT | 0.92 | (0.05) | (0.05) | 0.05 | 1.49 | 2.09 | 8.19 | |||
| UBER | 1.62 | (0.12) | (0.05) | 0.00 | 2.30 | 2.69 | 20.10 | |||
| F | 1.43 | (0.15) | (0.04) | 0.02 | 2.20 | 2.53 | 11.21 | |||
| T | 0.92 | 0.28 | 0.15 | (7.88) | 0.85 | 2.56 | 6.47 | |||
| A | 1.17 | (0.09) | 0.00 | (0.05) | 0.00 | 2.71 | 9.02 | |||
| CRM | 1.34 | 0.21 | 0.16 | 0.30 | 1.16 | 3.18 | 9.09 | |||
| JPM | 1.12 | (0.01) | 0.06 | 0.11 | 1.40 | 2.05 | 15.87 | |||
| MRK | 0.91 | (0.21) | 0.00 | (0.74) | 0.00 | 2.00 | 4.89 | |||
| XOM | 1.01 | (0.05) | (0.08) | 0.02 | 1.33 | 2.10 | 5.74 |
ITETF Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with ITETF etf to make a market-neutral strategy. Peer analysis of ITETF could also be used in its relative valuation, which is a method of valuing ITETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |