Correlation Between Bitcoin and Zhonghang Electronic
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By analyzing existing cross correlation between Bitcoin and Zhonghang Electronic Measuring, you can compare the effects of market volatilities on Bitcoin and Zhonghang Electronic and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bitcoin with a short position of Zhonghang Electronic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Zhonghang Electronic.
Diversification Opportunities for Bitcoin and Zhonghang Electronic
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bitcoin and Zhonghang is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Zhonghang Electronic Measuring in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhonghang Electronic and Bitcoin is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Bitcoin are associated (or correlated) with Zhonghang Electronic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhonghang Electronic has no effect on the direction of Bitcoin i.e., Bitcoin and Zhonghang Electronic go up and down completely randomly.
Pair Corralation between Bitcoin and Zhonghang Electronic
Assuming the 90 days trading horizon Bitcoin is expected to under-perform the Zhonghang Electronic. But the crypto coin apears to be less risky and, when comparing its historical volatility, Bitcoin is 1.86 times less risky than Zhonghang Electronic. The crypto coin trades about -0.14 of its potential returns per unit of risk. The Zhonghang Electronic Measuring is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 6,871 in Zhonghang Electronic Measuring on October 12, 2024 and sell it today you would lose (65.00) from holding Zhonghang Electronic Measuring or give up 0.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bitcoin vs. Zhonghang Electronic Measuring
Performance |
Timeline |
Bitcoin |
Zhonghang Electronic |
Bitcoin and Zhonghang Electronic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Zhonghang Electronic
The main advantage of trading using opposite Bitcoin and Zhonghang Electronic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Zhonghang Electronic 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 Zhonghang Electronic will offset losses from the drop in Zhonghang Electronic's long position.The idea behind Bitcoin and Zhonghang Electronic Measuring pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Zhonghang Electronic vs. Jiaozuo Wanfang Aluminum | Zhonghang Electronic vs. Zijin Mining Group | Zhonghang Electronic vs. Jiangsu Yanghe Brewery | Zhonghang Electronic vs. Chongqing Shunbo Aluminum |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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