Correlation Between Silicon Power and Tong Hwa
Can any of the company-specific risk be diversified away by investing in both Silicon Power and Tong Hwa 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 Silicon Power and Tong Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Silicon Power Computer and Tong Hwa Synthetic Fiber, you can compare the effects of market volatilities on Silicon Power and Tong Hwa 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 Silicon Power with a short position of Tong Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Silicon Power and Tong Hwa.
Diversification Opportunities for Silicon Power and Tong Hwa
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Silicon and Tong is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Silicon Power Computer and Tong Hwa Synthetic Fiber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tong Hwa Synthetic and Silicon Power 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 Silicon Power Computer are associated (or correlated) with Tong Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tong Hwa Synthetic has no effect on the direction of Silicon Power i.e., Silicon Power and Tong Hwa go up and down completely randomly.
Pair Corralation between Silicon Power and Tong Hwa
Assuming the 90 days trading horizon Silicon Power Computer is expected to generate 0.85 times more return on investment than Tong Hwa. However, Silicon Power Computer is 1.18 times less risky than Tong Hwa. It trades about -0.01 of its potential returns per unit of risk. Tong Hwa Synthetic Fiber is currently generating about -0.08 per unit of risk. If you would invest 3,190 in Silicon Power Computer on October 25, 2024 and sell it today you would lose (45.00) from holding Silicon Power Computer or give up 1.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Silicon Power Computer vs. Tong Hwa Synthetic Fiber
Performance |
Timeline |
Silicon Power Computer |
Tong Hwa Synthetic |
Silicon Power and Tong Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Silicon Power and Tong Hwa
The main advantage of trading using opposite Silicon Power and Tong Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silicon Power position performs unexpectedly, Tong Hwa 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 Tong Hwa will offset losses from the drop in Tong Hwa's long position.Silicon Power vs. X Legend Entertainment Co | Silicon Power vs. Hwa Fong Rubber | Silicon Power vs. Formosan Rubber Group | Silicon Power vs. C Media Electronics |
Tong Hwa vs. Shinkong Synthetic Fiber | Tong Hwa vs. Nan Yang Dyeing | Tong Hwa vs. Tung Ho Textile | Tong Hwa vs. Tah Tong Textile |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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