159783 Correlations
| 159783 Etf | 0.58 0.01 1.75% |
The current 90-days correlation between 159783 and Shenzhen MTC Co is 0.66 (i.e., Poor diversification). The correlation of 159783 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.
159783 Correlation With Market
Good diversification
The correlation between 159783 and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 159783 and DJI in the same portfolio, assuming nothing else is changed.
159783 |
The ability to find closely correlated positions to 159783 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 159783 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 159783 - 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 159783 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
|
159783 Competition Risk-Adjusted Indicators
There is a big difference between 159783 Etf performing well and 159783 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 159783'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 |
159783 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 159783 etf to make a market-neutral strategy. Peer analysis of 159783 could also be used in its relative valuation, which is a method of valuing 159783 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |