Correlation Between Power Wind and Silicon Power
Can any of the company-specific risk be diversified away by investing in both Power Wind and Silicon Power 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 Power Wind and Silicon Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Wind Health and Silicon Power Computer, you can compare the effects of market volatilities on Power Wind and Silicon Power 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 Power Wind with a short position of Silicon Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Wind and Silicon Power.
Diversification Opportunities for Power Wind and Silicon Power
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Power and Silicon is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Power Wind Health and Silicon Power Computer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silicon Power Computer and Power Wind 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 Power Wind Health are associated (or correlated) with Silicon Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silicon Power Computer has no effect on the direction of Power Wind i.e., Power Wind and Silicon Power go up and down completely randomly.
Pair Corralation between Power Wind and Silicon Power
Assuming the 90 days trading horizon Power Wind Health is expected to under-perform the Silicon Power. But the stock apears to be less risky and, when comparing its historical volatility, Power Wind Health is 1.23 times less risky than Silicon Power. The stock trades about -0.23 of its potential returns per unit of risk. The Silicon Power Computer is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 3,255 in Silicon Power Computer on September 14, 2024 and sell it today you would lose (95.00) from holding Silicon Power Computer or give up 2.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Power Wind Health vs. Silicon Power Computer
Performance |
Timeline |
Power Wind Health |
Silicon Power Computer |
Power Wind and Silicon Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Wind and Silicon Power
The main advantage of trading using opposite Power Wind and Silicon Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Wind position performs unexpectedly, Silicon Power 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 Silicon Power will offset losses from the drop in Silicon Power's long position.Power Wind vs. Sunny Friend Environmental | Power Wind vs. Cleanaway Co | Power Wind vs. Charoen Pokphand Enterprise | Power Wind vs. TTET Union Corp |
Silicon Power vs. Excellence Optoelectronic | Silicon Power vs. Microelectronics Technology | Silicon Power vs. Tung Thih Electronic | Silicon Power vs. Lelon Electronics Corp |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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