Correlation Between PT Bank and Selective Insurance
Can any of the company-specific risk be diversified away by investing in both PT Bank and Selective Insurance 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 PT Bank and Selective Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bank Rakyat and Selective Insurance Group, you can compare the effects of market volatilities on PT Bank and Selective Insurance 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 PT Bank with a short position of Selective Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and Selective Insurance.
Diversification Opportunities for PT Bank and Selective Insurance
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BYRA and Selective is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and Selective Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Selective Insurance and PT Bank 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 PT Bank Rakyat are associated (or correlated) with Selective Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Selective Insurance has no effect on the direction of PT Bank i.e., PT Bank and Selective Insurance go up and down completely randomly.
Pair Corralation between PT Bank and Selective Insurance
Assuming the 90 days trading horizon PT Bank Rakyat is expected to generate 2.02 times more return on investment than Selective Insurance. However, PT Bank is 2.02 times more volatile than Selective Insurance Group. It trades about 0.05 of its potential returns per unit of risk. Selective Insurance Group is currently generating about 0.01 per unit of risk. If you would invest 22.00 in PT Bank Rakyat on December 30, 2024 and sell it today you would earn a total of 2.00 from holding PT Bank Rakyat or generate 9.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Bank Rakyat vs. Selective Insurance Group
Performance |
Timeline |
PT Bank Rakyat |
Selective Insurance |
PT Bank and Selective Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bank and Selective Insurance
The main advantage of trading using opposite PT Bank and Selective Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Selective Insurance 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 Selective Insurance will offset losses from the drop in Selective Insurance's long position.PT Bank vs. MARKET VECTR RETAIL | PT Bank vs. Globe Trade Centre | PT Bank vs. FLOW TRADERS LTD | PT Bank vs. MOVIE GAMES SA |
Selective Insurance vs. USWE SPORTS AB | Selective Insurance vs. Sporting Clube de | Selective Insurance vs. COPLAND ROAD CAPITAL | Selective Insurance vs. GOLD ROAD RES |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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