Correlation Between Shin Foong and Parade Technologies
Can any of the company-specific risk be diversified away by investing in both Shin Foong and Parade Technologies 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 Shin Foong and Parade Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shin Foong Specialty and Parade Technologies, you can compare the effects of market volatilities on Shin Foong and Parade Technologies 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 Shin Foong with a short position of Parade Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shin Foong and Parade Technologies.
Diversification Opportunities for Shin Foong and Parade Technologies
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Shin and Parade is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Shin Foong Specialty and Parade Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Parade Technologies and Shin Foong 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 Shin Foong Specialty are associated (or correlated) with Parade Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Parade Technologies has no effect on the direction of Shin Foong i.e., Shin Foong and Parade Technologies go up and down completely randomly.
Pair Corralation between Shin Foong and Parade Technologies
Assuming the 90 days trading horizon Shin Foong Specialty is expected to under-perform the Parade Technologies. In addition to that, Shin Foong is 1.05 times more volatile than Parade Technologies. It trades about -0.29 of its total potential returns per unit of risk. Parade Technologies is currently generating about -0.22 per unit of volatility. If you would invest 78,100 in Parade Technologies on October 23, 2024 and sell it today you would lose (7,200) from holding Parade Technologies or give up 9.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Shin Foong Specialty vs. Parade Technologies
Performance |
Timeline |
Shin Foong Specialty |
Parade Technologies |
Shin Foong and Parade Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shin Foong and Parade Technologies
The main advantage of trading using opposite Shin Foong and Parade Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shin Foong position performs unexpectedly, Parade Technologies 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 Parade Technologies will offset losses from the drop in Parade Technologies' long position.Shin Foong vs. Nantex Industry Co | Shin Foong vs. Systex Corp | Shin Foong vs. Chong Hong Construction | Shin Foong vs. Greatek Electronics |
Parade Technologies vs. Aspeed Technology | Parade Technologies vs. Silergy Corp | Parade Technologies vs. Novatek Microelectronics Corp | Parade Technologies vs. WIN Semiconductors |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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