Correlation Between Shin Foong and LIWANLI Innovation
Can any of the company-specific risk be diversified away by investing in both Shin Foong and LIWANLI Innovation 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 LIWANLI Innovation 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 LIWANLI Innovation Co, you can compare the effects of market volatilities on Shin Foong and LIWANLI Innovation 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 LIWANLI Innovation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shin Foong and LIWANLI Innovation.
Diversification Opportunities for Shin Foong and LIWANLI Innovation
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shin and LIWANLI is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Shin Foong Specialty and LIWANLI Innovation Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LIWANLI Innovation 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 LIWANLI Innovation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LIWANLI Innovation has no effect on the direction of Shin Foong i.e., Shin Foong and LIWANLI Innovation go up and down completely randomly.
Pair Corralation between Shin Foong and LIWANLI Innovation
Assuming the 90 days trading horizon Shin Foong Specialty is expected to under-perform the LIWANLI Innovation. But the stock apears to be less risky and, when comparing its historical volatility, Shin Foong Specialty is 1.27 times less risky than LIWANLI Innovation. The stock trades about -0.18 of its potential returns per unit of risk. The LIWANLI Innovation Co is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 2,455 in LIWANLI Innovation Co on December 21, 2024 and sell it today you would lose (255.00) from holding LIWANLI Innovation Co or give up 10.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shin Foong Specialty vs. LIWANLI Innovation Co
Performance |
Timeline |
Shin Foong Specialty |
LIWANLI Innovation |
Shin Foong and LIWANLI Innovation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shin Foong and LIWANLI Innovation
The main advantage of trading using opposite Shin Foong and LIWANLI Innovation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shin Foong position performs unexpectedly, LIWANLI Innovation 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 LIWANLI Innovation will offset losses from the drop in LIWANLI Innovation's long position.Shin Foong vs. Nantex Industry Co | Shin Foong vs. Systex Corp | Shin Foong vs. Chong Hong Construction | Shin Foong vs. Greatek Electronics |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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