Correlation Between Gunkul Engineering and TPI Polene
Can any of the company-specific risk be diversified away by investing in both Gunkul Engineering and TPI Polene 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 Gunkul Engineering and TPI Polene into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gunkul Engineering Public and TPI Polene Power, you can compare the effects of market volatilities on Gunkul Engineering and TPI Polene 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 Gunkul Engineering with a short position of TPI Polene. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gunkul Engineering and TPI Polene.
Diversification Opportunities for Gunkul Engineering and TPI Polene
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gunkul and TPI is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Gunkul Engineering Public and TPI Polene Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TPI Polene Power and Gunkul Engineering 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 Gunkul Engineering Public are associated (or correlated) with TPI Polene. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TPI Polene Power has no effect on the direction of Gunkul Engineering i.e., Gunkul Engineering and TPI Polene go up and down completely randomly.
Pair Corralation between Gunkul Engineering and TPI Polene
Assuming the 90 days trading horizon Gunkul Engineering Public is expected to under-perform the TPI Polene. In addition to that, Gunkul Engineering is 3.25 times more volatile than TPI Polene Power. It trades about -0.24 of its total potential returns per unit of risk. TPI Polene Power is currently generating about -0.22 per unit of volatility. If you would invest 304.00 in TPI Polene Power on September 15, 2024 and sell it today you would lose (8.00) from holding TPI Polene Power or give up 2.63% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gunkul Engineering Public vs. TPI Polene Power
Performance |
| Timeline |
| Gunkul Engineering Public |
| TPI Polene Power |
Gunkul Engineering and TPI Polene Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gunkul Engineering and TPI Polene
The main advantage of trading using opposite Gunkul Engineering and TPI Polene positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gunkul Engineering position performs unexpectedly, TPI Polene 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 TPI Polene will offset losses from the drop in TPI Polene's long position.| Gunkul Engineering vs. Tata Steel Public | Gunkul Engineering vs. TTCL Public | Gunkul Engineering vs. Thaifoods Group Public | Gunkul Engineering vs. TMT Steel Public |
| TPI Polene vs. Ratch Group Public | TPI Polene vs. BCPG Public | TPI Polene vs. Gulf Energy Development | TPI Polene vs. BTS Group Holdings |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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