Correlation Between Dana Brata and Pelayaran Nelly
Can any of the company-specific risk be diversified away by investing in both Dana Brata and Pelayaran Nelly 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 Dana Brata and Pelayaran Nelly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dana Brata Luhur and Pelayaran Nelly Dwi, you can compare the effects of market volatilities on Dana Brata and Pelayaran Nelly 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 Dana Brata with a short position of Pelayaran Nelly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dana Brata and Pelayaran Nelly.
Diversification Opportunities for Dana Brata and Pelayaran Nelly
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Dana and Pelayaran is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Dana Brata Luhur and Pelayaran Nelly Dwi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pelayaran Nelly Dwi and Dana Brata 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 Dana Brata Luhur are associated (or correlated) with Pelayaran Nelly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pelayaran Nelly Dwi has no effect on the direction of Dana Brata i.e., Dana Brata and Pelayaran Nelly go up and down completely randomly.
Pair Corralation between Dana Brata and Pelayaran Nelly
Assuming the 90 days trading horizon Dana Brata Luhur is expected to under-perform the Pelayaran Nelly. But the stock apears to be less risky and, when comparing its historical volatility, Dana Brata Luhur is 1.08 times less risky than Pelayaran Nelly. The stock trades about -0.09 of its potential returns per unit of risk. The Pelayaran Nelly Dwi is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 46,200 in Pelayaran Nelly Dwi on September 21, 2024 and sell it today you would lose (2,200) from holding Pelayaran Nelly Dwi or give up 4.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Dana Brata Luhur vs. Pelayaran Nelly Dwi
Performance |
Timeline |
Dana Brata Luhur |
Pelayaran Nelly Dwi |
Dana Brata and Pelayaran Nelly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dana Brata and Pelayaran Nelly
The main advantage of trading using opposite Dana Brata and Pelayaran Nelly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dana Brata position performs unexpectedly, Pelayaran Nelly 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 Pelayaran Nelly will offset losses from the drop in Pelayaran Nelly's long position.Dana Brata vs. Pelita Samudera Shipping | Dana Brata vs. Trans Power Marine | Dana Brata vs. Kencana Energi Lestari | Dana Brata vs. Pelayaran Nelly Dwi |
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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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