Correlation Between Parade Technologies and Jenn Feng
Can any of the company-specific risk be diversified away by investing in both Parade Technologies and Jenn Feng 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 Parade Technologies and Jenn Feng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Parade Technologies and Jenn Feng New, you can compare the effects of market volatilities on Parade Technologies and Jenn Feng 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 Parade Technologies with a short position of Jenn Feng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Parade Technologies and Jenn Feng.
Diversification Opportunities for Parade Technologies and Jenn Feng
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Parade and Jenn is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Parade Technologies and Jenn Feng New in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jenn Feng New and Parade Technologies 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 Parade Technologies are associated (or correlated) with Jenn Feng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jenn Feng New has no effect on the direction of Parade Technologies i.e., Parade Technologies and Jenn Feng go up and down completely randomly.
Pair Corralation between Parade Technologies and Jenn Feng
Assuming the 90 days trading horizon Parade Technologies is expected to under-perform the Jenn Feng. But the stock apears to be less risky and, when comparing its historical volatility, Parade Technologies is 1.18 times less risky than Jenn Feng. The stock trades about -0.22 of its potential returns per unit of risk. The Jenn Feng New is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 2,892 in Jenn Feng New on October 24, 2024 and sell it today you would lose (92.00) from holding Jenn Feng New or give up 3.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Parade Technologies vs. Jenn Feng New
Performance |
Timeline |
Parade Technologies |
Jenn Feng New |
Parade Technologies and Jenn Feng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Parade Technologies and Jenn Feng
The main advantage of trading using opposite Parade Technologies and Jenn Feng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Parade Technologies position performs unexpectedly, Jenn Feng 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 Jenn Feng will offset losses from the drop in Jenn Feng's long position.Parade Technologies vs. Aspeed Technology | Parade Technologies vs. Silergy Corp | Parade Technologies vs. Novatek Microelectronics Corp | Parade Technologies vs. WIN Semiconductors |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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