LS 1x Correlations
| NIO Etf | 46.52 0.00 0.00% |
The current 90-days correlation between LS 1x NIO and iShares MSCI Japan is -0.07 (i.e., Good diversification). The correlation of LS 1x 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.
LS 1x Correlation With Market
Average diversification
The correlation between LS 1x NIO and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding LS 1x NIO and DJI in the same portfolio, assuming nothing else is changed.
NIO |
The ability to find closely correlated positions to LS 1x could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace LS 1x 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 LS 1x - 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 LS 1x NIO to buy it.
Moving against NIO Etf
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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LS 1x Competition Risk-Adjusted Indicators
There is a big difference between NIO Etf performing well and LS 1x 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 LS 1x'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 | 1.16 | 0.06 | 0.03 | 0.15 | 1.43 | 2.62 | 7.43 | |||
| MSFT | 0.87 | (0.02) | (0.02) | (0.01) | 1.63 | 1.78 | 8.14 | |||
| UBER | 1.71 | (0.32) | 0.00 | (0.34) | 0.00 | 2.67 | 20.41 | |||
| F | 1.44 | (0.15) | 0.00 | (0.08) | 0.00 | 2.53 | 11.21 | |||
| T | 0.96 | 0.11 | 0.08 | 0.52 | 1.12 | 1.93 | 7.95 | |||
| A | 1.24 | (0.09) | 0.00 | (0.16) | 0.00 | 2.71 | 9.02 | |||
| CRM | 1.48 | 0.37 | 0.23 | 0.30 | 1.30 | 3.18 | 14.80 | |||
| JPM | 1.04 | 0.16 | 0.14 | 0.11 | 1.08 | 1.99 | 15.87 | |||
| MRK | 0.96 | (0.27) | 0.00 | (1.10) | 0.00 | 1.72 | 5.17 | |||
| XOM | 0.90 | (0.14) | 0.00 | (0.43) | 0.00 | 1.83 | 6.06 |
LS 1x 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 LS 1x etf to make a market-neutral strategy. Peer analysis of LS 1x could also be used in its relative valuation, which is a method of valuing LS 1x by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |