Correlation Between Cisarua Mountain and Wahana Inti
Can any of the company-specific risk be diversified away by investing in both Cisarua Mountain and Wahana Inti 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 Cisarua Mountain and Wahana Inti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cisarua Mountain Dairy and Wahana Inti MakmurTbk, you can compare the effects of market volatilities on Cisarua Mountain and Wahana Inti 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 Cisarua Mountain with a short position of Wahana Inti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cisarua Mountain and Wahana Inti.
Diversification Opportunities for Cisarua Mountain and Wahana Inti
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cisarua and Wahana is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Cisarua Mountain Dairy and Wahana Inti MakmurTbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wahana Inti MakmurTbk and Cisarua Mountain 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 Cisarua Mountain Dairy are associated (or correlated) with Wahana Inti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wahana Inti MakmurTbk has no effect on the direction of Cisarua Mountain i.e., Cisarua Mountain and Wahana Inti go up and down completely randomly.
Pair Corralation between Cisarua Mountain and Wahana Inti
Assuming the 90 days trading horizon Cisarua Mountain Dairy is expected to generate 0.5 times more return on investment than Wahana Inti. However, Cisarua Mountain Dairy is 1.99 times less risky than Wahana Inti. It trades about -0.04 of its potential returns per unit of risk. Wahana Inti MakmurTbk is currently generating about -0.11 per unit of risk. If you would invest 550,000 in Cisarua Mountain Dairy on September 16, 2024 and sell it today you would lose (35,000) from holding Cisarua Mountain Dairy or give up 6.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cisarua Mountain Dairy vs. Wahana Inti MakmurTbk
Performance |
Timeline |
Cisarua Mountain Dairy |
Wahana Inti MakmurTbk |
Cisarua Mountain and Wahana Inti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cisarua Mountain and Wahana Inti
The main advantage of trading using opposite Cisarua Mountain and Wahana Inti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cisarua Mountain position performs unexpectedly, Wahana Inti 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 Wahana Inti will offset losses from the drop in Wahana Inti's long position.Cisarua Mountain vs. Avia Avian PT | Cisarua Mountain vs. Medikaloka Hermina PT | Cisarua Mountain vs. Dayamitra Telekomunikasi PT | Cisarua Mountain vs. Sumber Alfaria Trijaya |
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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 Global Correlations module to find global opportunities by holding instruments from different markets.
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