Correlation Between Bank Ocbc and Humpuss Intermoda
Can any of the company-specific risk be diversified away by investing in both Bank Ocbc and Humpuss Intermoda 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 Bank Ocbc and Humpuss Intermoda into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Ocbc Nisp and Humpuss Intermoda Transportasi, you can compare the effects of market volatilities on Bank Ocbc and Humpuss Intermoda 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 Bank Ocbc with a short position of Humpuss Intermoda. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Ocbc and Humpuss Intermoda.
Diversification Opportunities for Bank Ocbc and Humpuss Intermoda
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Humpuss is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Bank Ocbc Nisp and Humpuss Intermoda Transportasi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Humpuss Intermoda and Bank Ocbc 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 Bank Ocbc Nisp are associated (or correlated) with Humpuss Intermoda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Humpuss Intermoda has no effect on the direction of Bank Ocbc i.e., Bank Ocbc and Humpuss Intermoda go up and down completely randomly.
Pair Corralation between Bank Ocbc and Humpuss Intermoda
Assuming the 90 days trading horizon Bank Ocbc Nisp is expected to under-perform the Humpuss Intermoda. But the stock apears to be less risky and, when comparing its historical volatility, Bank Ocbc Nisp is 3.61 times less risky than Humpuss Intermoda. The stock trades about -0.07 of its potential returns per unit of risk. The Humpuss Intermoda Transportasi is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 40,200 in Humpuss Intermoda Transportasi on September 19, 2024 and sell it today you would earn a total of 1,200 from holding Humpuss Intermoda Transportasi or generate 2.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Ocbc Nisp vs. Humpuss Intermoda Transportasi
Performance |
Timeline |
Bank Ocbc Nisp |
Humpuss Intermoda |
Bank Ocbc and Humpuss Intermoda Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Ocbc and Humpuss Intermoda
The main advantage of trading using opposite Bank Ocbc and Humpuss Intermoda positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Ocbc position performs unexpectedly, Humpuss Intermoda 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 Humpuss Intermoda will offset losses from the drop in Humpuss Intermoda's long position.Bank Ocbc vs. Bank Mega Tbk | Bank Ocbc vs. Bank Pan Indonesia | Bank Ocbc vs. Bank Permata Tbk | Bank Ocbc vs. Bank Cimb Niaga |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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