Correlation Between Siamgas and ON SEMICONDUCTOR
Can any of the company-specific risk be diversified away by investing in both Siamgas and ON SEMICONDUCTOR 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 Siamgas and ON SEMICONDUCTOR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siamgas And Petrochemicals and ON SEMICONDUCTOR, you can compare the effects of market volatilities on Siamgas and ON SEMICONDUCTOR 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 Siamgas with a short position of ON SEMICONDUCTOR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siamgas and ON SEMICONDUCTOR.
Diversification Opportunities for Siamgas and ON SEMICONDUCTOR
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Siamgas and XS4 is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Siamgas And Petrochemicals and ON SEMICONDUCTOR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ON SEMICONDUCTOR and Siamgas 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 Siamgas And Petrochemicals are associated (or correlated) with ON SEMICONDUCTOR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ON SEMICONDUCTOR has no effect on the direction of Siamgas i.e., Siamgas and ON SEMICONDUCTOR go up and down completely randomly.
Pair Corralation between Siamgas and ON SEMICONDUCTOR
Assuming the 90 days trading horizon Siamgas And Petrochemicals is expected to generate 2.42 times more return on investment than ON SEMICONDUCTOR. However, Siamgas is 2.42 times more volatile than ON SEMICONDUCTOR. It trades about 0.04 of its potential returns per unit of risk. ON SEMICONDUCTOR is currently generating about 0.01 per unit of risk. If you would invest 11.00 in Siamgas And Petrochemicals on August 24, 2024 and sell it today you would earn a total of 7.00 from holding Siamgas And Petrochemicals or generate 63.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.8% |
| Values | Daily Returns |
Siamgas And Petrochemicals vs. ON SEMICONDUCTOR
Performance |
| Timeline |
| Siamgas And Petroche |
| ON SEMICONDUCTOR |
Siamgas and ON SEMICONDUCTOR Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Siamgas and ON SEMICONDUCTOR
The main advantage of trading using opposite Siamgas and ON SEMICONDUCTOR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siamgas position performs unexpectedly, ON SEMICONDUCTOR 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 ON SEMICONDUCTOR will offset losses from the drop in ON SEMICONDUCTOR's long position.| Siamgas vs. Cogent Communications Holdings | Siamgas vs. NH HOTEL GROUP | Siamgas vs. Playa Hotels Resorts | Siamgas vs. Taiwan Semiconductor Manufacturing |
| ON SEMICONDUCTOR vs. Apple Inc | ON SEMICONDUCTOR vs. Apple Inc | ON SEMICONDUCTOR vs. Apple Inc | ON SEMICONDUCTOR vs. Apple Inc |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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