Correlation Between BANK CIMB and PennantPark Investment
Can any of the company-specific risk be diversified away by investing in both BANK CIMB and PennantPark Investment 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 CIMB and PennantPark Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK CIMB NIAGA and PennantPark Investment, you can compare the effects of market volatilities on BANK CIMB and PennantPark Investment 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 CIMB with a short position of PennantPark Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK CIMB and PennantPark Investment.
Diversification Opportunities for BANK CIMB and PennantPark Investment
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between BANK and PennantPark is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding BANK CIMB NIAGA and PennantPark Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PennantPark Investment and BANK CIMB 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 CIMB NIAGA are associated (or correlated) with PennantPark Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PennantPark Investment has no effect on the direction of BANK CIMB i.e., BANK CIMB and PennantPark Investment go up and down completely randomly.
Pair Corralation between BANK CIMB and PennantPark Investment
Assuming the 90 days trading horizon BANK CIMB NIAGA is expected to under-perform the PennantPark Investment. But the stock apears to be less risky and, when comparing its historical volatility, BANK CIMB NIAGA is 1.08 times less risky than PennantPark Investment. The stock trades about -0.11 of its potential returns per unit of risk. The PennantPark Investment is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 639.00 in PennantPark Investment on December 22, 2024 and sell it today you would earn a total of 6.00 from holding PennantPark Investment or generate 0.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
BANK CIMB NIAGA vs. PennantPark Investment
Performance |
Timeline |
BANK CIMB NIAGA |
PennantPark Investment |
BANK CIMB and PennantPark Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK CIMB and PennantPark Investment
The main advantage of trading using opposite BANK CIMB and PennantPark Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK CIMB position performs unexpectedly, PennantPark Investment 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 PennantPark Investment will offset losses from the drop in PennantPark Investment's long position.BANK CIMB vs. Osisko Metals | BANK CIMB vs. Q2M Managementberatung AG | BANK CIMB vs. GREENX METALS LTD | BANK CIMB vs. Perdoceo Education |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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