NIFTYETF Correlations
| NIFTYETF | 257.68 2.33 0.91% |
The current 90-days correlation between NIFTYETF and Kingfa Science Technology is 0.27 (i.e., Modest diversification). The correlation of NIFTYETF 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
NIFTYETF Correlation With Market
Very weak diversification
The correlation between NIFTYETF and DJI is 0.41 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding NIFTYETF and DJI in the same portfolio, assuming nothing else is changed.
NIFTYETF |
The ability to find closely correlated positions to NIFTYETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NIFTYETF 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 NIFTYETF - 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 NIFTYETF to buy it.
Related Correlations Analysis
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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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NIFTYETF Competition Risk-Adjusted Indicators
There is a big difference between NIFTYETF Etf performing well and NIFTYETF 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 NIFTYETF'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 | 1.07 | 0.07 | 0.02 | 0.23 | 1.41 | 2.62 | 8.02 | |||
| MSFT | 0.90 | (0.04) | (0.05) | 0.07 | 1.50 | 2.09 | 8.19 | |||
| UBER | 1.61 | (0.11) | (0.04) | 0.02 | 2.32 | 2.69 | 20.10 | |||
| F | 1.42 | (0.15) | (0.04) | 0.03 | 2.23 | 2.53 | 11.21 | |||
| T | 0.92 | 0.26 | 0.12 | (7.83) | 0.86 | 2.56 | 6.47 | |||
| A | 1.17 | (0.09) | 0.00 | (0.06) | 0.00 | 2.71 | 9.02 | |||
| CRM | 1.31 | 0.23 | 0.18 | 0.34 | 1.08 | 3.18 | 9.98 | |||
| JPM | 1.12 | (0.04) | 0.05 | 0.11 | 1.38 | 2.05 | 15.87 | |||
| MRK | 0.91 | (0.24) | 0.00 | (0.86) | 0.00 | 2.00 | 4.89 | |||
| XOM | 1.00 | (0.03) | (0.07) | 0.06 | 1.31 | 2.10 | 5.74 |
NIFTYETF 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 NIFTYETF etf to make a market-neutral strategy. Peer analysis of NIFTYETF could also be used in its relative valuation, which is a method of valuing NIFTYETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |