Correlation Between PP Properti and Wijaya Karya
Can any of the company-specific risk be diversified away by investing in both PP Properti and Wijaya Karya 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 PP Properti and Wijaya Karya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PP Properti Tbk and Wijaya Karya Beton, you can compare the effects of market volatilities on PP Properti and Wijaya Karya 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 PP Properti with a short position of Wijaya Karya. Check out your portfolio center. Please also check ongoing floating volatility patterns of PP Properti and Wijaya Karya.
Diversification Opportunities for PP Properti and Wijaya Karya
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between PPRO and Wijaya is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding PP Properti Tbk and Wijaya Karya Beton in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wijaya Karya Beton and PP Properti 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 PP Properti Tbk are associated (or correlated) with Wijaya Karya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wijaya Karya Beton has no effect on the direction of PP Properti i.e., PP Properti and Wijaya Karya go up and down completely randomly.
Pair Corralation between PP Properti and Wijaya Karya
Assuming the 90 days trading horizon PP Properti Tbk is expected to generate 1.61 times more return on investment than Wijaya Karya. However, PP Properti is 1.61 times more volatile than Wijaya Karya Beton. It trades about -0.09 of its potential returns per unit of risk. Wijaya Karya Beton is currently generating about -0.23 per unit of risk. If you would invest 2,500 in PP Properti Tbk on September 15, 2024 and sell it today you would lose (400.00) from holding PP Properti Tbk or give up 16.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PP Properti Tbk vs. Wijaya Karya Beton
Performance |
Timeline |
PP Properti Tbk |
Wijaya Karya Beton |
PP Properti and Wijaya Karya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PP Properti and Wijaya Karya
The main advantage of trading using opposite PP Properti and Wijaya Karya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PP Properti position performs unexpectedly, Wijaya Karya 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 Wijaya Karya will offset losses from the drop in Wijaya Karya's long position.PP Properti vs. Wijaya Karya Beton | PP Properti vs. Pembangunan Perumahan PT | PP Properti vs. Waskita Beton Precast | PP Properti vs. Semen Baturaja Persero |
Wijaya Karya vs. Waskita Karya Persero | Wijaya Karya vs. Waskita Beton Precast | Wijaya Karya vs. Pembangunan Perumahan PT | Wijaya Karya vs. Wijaya Karya Beton |
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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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