Correlation Between TRON and Jung Shing
Can any of the company-specific risk be diversified away by investing in both TRON 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 TRON and Jung Shing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TRON and Jung Shing Wire, you can compare the effects of market volatilities on TRON 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 TRON with a short position of Jung Shing. Check out your portfolio center. Please also check ongoing floating volatility patterns of TRON and Jung Shing.
Diversification Opportunities for TRON and Jung Shing
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between TRON and Jung is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding TRON 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 TRON 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 TRON 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 TRON i.e., TRON and Jung Shing go up and down completely randomly.
Pair Corralation between TRON and Jung Shing
Assuming the 90 days trading horizon TRON is expected to generate 1.45 times more return on investment than Jung Shing. However, TRON is 1.45 times more volatile than Jung Shing Wire. It trades about 0.02 of its potential returns per unit of risk. Jung Shing Wire is currently generating about 0.02 per unit of risk. If you would invest 24.00 in TRON on December 20, 2024 and sell it today you would earn a total of 0.00 from holding TRON or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 87.3% |
Values | Daily Returns |
TRON vs. Jung Shing Wire
Performance |
Timeline |
TRON |
Jung Shing Wire |
TRON and Jung Shing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TRON and Jung Shing
The main advantage of trading using opposite TRON and Jung Shing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TRON 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 TRON 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. Hold Key Electric Wire | Jung Shing vs. China Electric Manufacturing | Jung Shing vs. Kaulin Mfg | Jung Shing vs. Lee Chi Enterprises |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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