Correlation Between Bitcoin and Jung Shing
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Jung Shing at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bitcoin and Jung Shing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Jung Shing Wire, you can compare the effects of market volatilities on Bitcoin and Jung Shing 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 Jung Shing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Jung Shing.
Diversification Opportunities for Bitcoin and Jung Shing
-0.91 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bitcoin and Jung is -0.91. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Jung Shing Wire in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jung Shing Wire 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 Jung Shing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jung Shing Wire has no effect on the direction of Bitcoin i.e., Bitcoin and Jung Shing go up and down completely randomly.
Pair Corralation between Bitcoin and Jung Shing
Assuming the 90 days trading horizon Bitcoin is expected to generate 0.86 times more return on investment than Jung Shing. However, Bitcoin is 1.16 times less risky than Jung Shing. It trades about -0.02 of its potential returns per unit of risk. Jung Shing Wire is currently generating about -0.08 per unit of risk. If you would invest 9,665,788 in Bitcoin on October 10, 2024 and sell it today you would lose (164,794) from holding Bitcoin or give up 1.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bitcoin vs. Jung Shing Wire
Performance |
Timeline |
Bitcoin |
Jung Shing Wire |
Bitcoin and Jung Shing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Jung Shing
The main advantage of trading using opposite Bitcoin and Jung Shing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Jung Shing 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 Jung Shing will offset losses from the drop in Jung Shing's long position.The idea behind Bitcoin and Jung Shing Wire 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.Jung Shing vs. Hota Industrial Mfg | Jung Shing vs. Sinbon Electronics Co | Jung Shing vs. Tong Hsing Electronic | Jung Shing vs. Flexium Interconnect |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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