Correlation Between Poongsan and Shinhan WTI
Can any of the company-specific risk be diversified away by investing in both Poongsan and Shinhan WTI 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 Poongsan and Shinhan WTI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Poongsan and Shinhan WTI Futures, you can compare the effects of market volatilities on Poongsan and Shinhan WTI 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 Poongsan with a short position of Shinhan WTI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Poongsan and Shinhan WTI.
Diversification Opportunities for Poongsan and Shinhan WTI
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Poongsan and Shinhan is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Poongsan and Shinhan WTI Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan WTI Futures and Poongsan 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 Poongsan are associated (or correlated) with Shinhan WTI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan WTI Futures has no effect on the direction of Poongsan i.e., Poongsan and Shinhan WTI go up and down completely randomly.
Pair Corralation between Poongsan and Shinhan WTI
Assuming the 90 days trading horizon Poongsan is expected to under-perform the Shinhan WTI. In addition to that, Poongsan is 1.69 times more volatile than Shinhan WTI Futures. It trades about -0.05 of its total potential returns per unit of risk. Shinhan WTI Futures is currently generating about -0.03 per unit of volatility. If you would invest 794,000 in Shinhan WTI Futures on September 23, 2024 and sell it today you would lose (70,000) from holding Shinhan WTI Futures or give up 8.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.56% |
Values | Daily Returns |
Poongsan vs. Shinhan WTI Futures
Performance |
Timeline |
Poongsan |
Shinhan WTI Futures |
Poongsan and Shinhan WTI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Poongsan and Shinhan WTI
The main advantage of trading using opposite Poongsan and Shinhan WTI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Poongsan position performs unexpectedly, Shinhan WTI 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 Shinhan WTI will offset losses from the drop in Shinhan WTI's long position.Poongsan vs. LG Chemicals | Poongsan vs. POSCO Holdings | Poongsan vs. Hanwha Solutions | Poongsan vs. Lotte Chemical Corp |
Shinhan WTI vs. Samsung Electronics Co | Shinhan WTI vs. Samsung Electronics Co | Shinhan WTI vs. LG Energy Solution | Shinhan WTI vs. SK Hynix |
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.
Other Complementary Tools
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes |