Correlation Between Transkon Jaya and Bangun Karya
Can any of the company-specific risk be diversified away by investing in both Transkon Jaya and Bangun 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 Transkon Jaya and Bangun Karya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Transkon Jaya Pt and Bangun Karya Perkasa, you can compare the effects of market volatilities on Transkon Jaya and Bangun 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 Transkon Jaya with a short position of Bangun Karya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Transkon Jaya and Bangun Karya.
Diversification Opportunities for Transkon Jaya and Bangun Karya
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Transkon and Bangun is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Transkon Jaya Pt and Bangun Karya Perkasa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bangun Karya Perkasa and Transkon Jaya 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 Transkon Jaya Pt are associated (or correlated) with Bangun Karya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bangun Karya Perkasa has no effect on the direction of Transkon Jaya i.e., Transkon Jaya and Bangun Karya go up and down completely randomly.
Pair Corralation between Transkon Jaya and Bangun Karya
Assuming the 90 days trading horizon Transkon Jaya Pt is expected to under-perform the Bangun Karya. In addition to that, Transkon Jaya is 1.1 times more volatile than Bangun Karya Perkasa. It trades about -0.11 of its total potential returns per unit of risk. Bangun Karya Perkasa is currently generating about 0.01 per unit of volatility. If you would invest 5,300 in Bangun Karya Perkasa on December 22, 2024 and sell it today you would earn a total of 0.00 from holding Bangun Karya Perkasa or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Transkon Jaya Pt vs. Bangun Karya Perkasa
Performance |
Timeline |
Transkon Jaya Pt |
Bangun Karya Perkasa |
Transkon Jaya and Bangun Karya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Transkon Jaya and Bangun Karya
The main advantage of trading using opposite Transkon Jaya and Bangun Karya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Transkon Jaya position performs unexpectedly, Bangun 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 Bangun Karya will offset losses from the drop in Bangun Karya's long position.Transkon Jaya vs. Pelayaran Nelly Dwi | Transkon Jaya vs. Guna Timur Raya | Transkon Jaya vs. Batavia Prosperindo Trans | Transkon Jaya vs. PT Trimuda Nuansa |
Bangun Karya vs. PT Hetzer Medical | Bangun Karya vs. PT Dewi Shri | Bangun Karya vs. PT Sari Kreasi | Bangun Karya vs. Gaya Abadi Sempurna |
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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