Correlation Between Star Petroleum and Sawang Export
Can any of the company-specific risk be diversified away by investing in both Star Petroleum and Sawang Export 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 Star Petroleum and Sawang Export into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Star Petroleum Refining and Sawang Export Public, you can compare the effects of market volatilities on Star Petroleum and Sawang Export 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 Star Petroleum with a short position of Sawang Export. Check out your portfolio center. Please also check ongoing floating volatility patterns of Star Petroleum and Sawang Export.
Diversification Opportunities for Star Petroleum and Sawang Export
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Star and Sawang is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Star Petroleum Refining and Sawang Export Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sawang Export Public and Star Petroleum 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 Star Petroleum Refining are associated (or correlated) with Sawang Export. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sawang Export Public has no effect on the direction of Star Petroleum i.e., Star Petroleum and Sawang Export go up and down completely randomly.
Pair Corralation between Star Petroleum and Sawang Export
Assuming the 90 days trading horizon Star Petroleum Refining is expected to under-perform the Sawang Export. But the stock apears to be less risky and, when comparing its historical volatility, Star Petroleum Refining is 2.54 times less risky than Sawang Export. The stock trades about -0.07 of its potential returns per unit of risk. The Sawang Export Public is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,140 in Sawang Export Public on December 30, 2024 and sell it today you would lose (80.00) from holding Sawang Export Public or give up 7.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Star Petroleum Refining vs. Sawang Export Public
Performance |
Timeline |
Star Petroleum Refining |
Sawang Export Public |
Star Petroleum and Sawang Export Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Star Petroleum and Sawang Export
The main advantage of trading using opposite Star Petroleum and Sawang Export positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Star Petroleum position performs unexpectedly, Sawang Export 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 Sawang Export will offset losses from the drop in Sawang Export's long position.Star Petroleum vs. Thai Oil Public | Star Petroleum vs. IRPC Public | Star Petroleum vs. PTT Global Chemical | Star Petroleum vs. PTT Exploration and |
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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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