Correlation Between De Licacy and Silicon Power
Can any of the company-specific risk be diversified away by investing in both De Licacy 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 De Licacy and Silicon Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between De Licacy Industrial and Silicon Power Computer, you can compare the effects of market volatilities on De Licacy 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 De Licacy with a short position of Silicon Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of De Licacy and Silicon Power.
Diversification Opportunities for De Licacy and Silicon Power
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 1464 and Silicon is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding De Licacy Industrial 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 De Licacy 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 De Licacy Industrial 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 De Licacy i.e., De Licacy and Silicon Power go up and down completely randomly.
Pair Corralation between De Licacy and Silicon Power
Assuming the 90 days trading horizon De Licacy Industrial is expected to generate 1.13 times more return on investment than Silicon Power. However, De Licacy is 1.13 times more volatile than Silicon Power Computer. It trades about 0.07 of its potential returns per unit of risk. Silicon Power Computer is currently generating about -0.11 per unit of risk. If you would invest 1,410 in De Licacy Industrial on October 8, 2024 and sell it today you would earn a total of 240.00 from holding De Licacy Industrial or generate 17.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
De Licacy Industrial vs. Silicon Power Computer
Performance |
Timeline |
De Licacy Industrial |
Silicon Power Computer |
De Licacy and Silicon Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with De Licacy and Silicon Power
The main advantage of trading using opposite De Licacy and Silicon Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if De Licacy 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.De Licacy vs. Tainan Enterprises Co | De Licacy vs. Nien Hsing Textile | De Licacy vs. Wisher Industrial Co | De Licacy vs. Tex Ray Industrial Co |
Silicon Power vs. Intai Technology | Silicon Power vs. X Legend Entertainment Co | Silicon Power vs. Sun Max Tech | Silicon Power vs. U Tech Media 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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