Correlation Between Feng Ching and Insyde Software
Can any of the company-specific risk be diversified away by investing in both Feng Ching and Insyde Software 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 Feng Ching and Insyde Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Feng Ching Metal and Insyde Software, you can compare the effects of market volatilities on Feng Ching and Insyde Software 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 Feng Ching with a short position of Insyde Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of Feng Ching and Insyde Software.
Diversification Opportunities for Feng Ching and Insyde Software
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Feng and Insyde is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Feng Ching Metal and Insyde Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insyde Software and Feng Ching 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 Feng Ching Metal are associated (or correlated) with Insyde Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insyde Software has no effect on the direction of Feng Ching i.e., Feng Ching and Insyde Software go up and down completely randomly.
Pair Corralation between Feng Ching and Insyde Software
Assuming the 90 days trading horizon Feng Ching Metal is expected to generate 0.85 times more return on investment than Insyde Software. However, Feng Ching Metal is 1.18 times less risky than Insyde Software. It trades about -0.23 of its potential returns per unit of risk. Insyde Software is currently generating about -0.2 per unit of risk. If you would invest 2,420 in Feng Ching Metal on October 9, 2024 and sell it today you would lose (625.00) from holding Feng Ching Metal or give up 25.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Feng Ching Metal vs. Insyde Software
Performance |
Timeline |
Feng Ching Metal |
Insyde Software |
Feng Ching and Insyde Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Feng Ching and Insyde Software
The main advantage of trading using opposite Feng Ching and Insyde Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Feng Ching position performs unexpectedly, Insyde Software 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 Insyde Software will offset losses from the drop in Insyde Software's long position.Feng Ching vs. Johnson Chemical Pharmaceutical | Feng Ching vs. Mechema Chemicals Int | Feng Ching vs. Prime Oil Chemical | Feng Ching vs. MedFirst Healthcare Services |
Insyde Software vs. Wistron Information Technology | Insyde Software vs. Fortune Information Systems | Insyde Software vs. Johnson Chemical Pharmaceutical | Insyde Software vs. Quanta Storage |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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