Correlation Between Kao Fong and Silicon Power
Can any of the company-specific risk be diversified away by investing in both Kao Fong 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 Kao Fong and Silicon Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kao Fong Machinery and Silicon Power Computer, you can compare the effects of market volatilities on Kao Fong 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 Kao Fong with a short position of Silicon Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kao Fong and Silicon Power.
Diversification Opportunities for Kao Fong and Silicon Power
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kao and Silicon is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Kao Fong Machinery 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 Kao Fong 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 Kao Fong Machinery 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 Kao Fong i.e., Kao Fong and Silicon Power go up and down completely randomly.
Pair Corralation between Kao Fong and Silicon Power
Assuming the 90 days trading horizon Kao Fong Machinery is expected to generate 1.49 times more return on investment than Silicon Power. However, Kao Fong is 1.49 times more volatile than Silicon Power Computer. It trades about 0.11 of its potential returns per unit of risk. Silicon Power Computer is currently generating about 0.05 per unit of risk. If you would invest 1,007 in Kao Fong Machinery on September 20, 2024 and sell it today you would earn a total of 3,718 from holding Kao Fong Machinery or generate 369.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kao Fong Machinery vs. Silicon Power Computer
Performance |
Timeline |
Kao Fong Machinery |
Silicon Power Computer |
Kao Fong and Silicon Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kao Fong and Silicon Power
The main advantage of trading using opposite Kao Fong and Silicon Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kao Fong 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.Kao Fong vs. TECO Electric Machinery | Kao Fong vs. Chung Hsin Electric Machinery | Kao Fong vs. Ruentex Development Co | Kao Fong vs. Symtek Automation Asia |
Silicon Power vs. Lihtai Construction Enterprise | Silicon Power vs. Kao Fong Machinery | Silicon Power vs. Te Chang Construction | Silicon Power vs. CTBC Financial Holding |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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