Correlation Between Bank Pan and Eastparc Hotel
Can any of the company-specific risk be diversified away by investing in both Bank Pan and Eastparc Hotel 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 Pan and Eastparc Hotel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Pan Indonesia and Eastparc Hotel Tbk, you can compare the effects of market volatilities on Bank Pan and Eastparc Hotel 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 Pan with a short position of Eastparc Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Pan and Eastparc Hotel.
Diversification Opportunities for Bank Pan and Eastparc Hotel
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Eastparc is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Bank Pan Indonesia and Eastparc Hotel Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eastparc Hotel Tbk and Bank Pan 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 Pan Indonesia are associated (or correlated) with Eastparc Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eastparc Hotel Tbk has no effect on the direction of Bank Pan i.e., Bank Pan and Eastparc Hotel go up and down completely randomly.
Pair Corralation between Bank Pan and Eastparc Hotel
Assuming the 90 days trading horizon Bank Pan Indonesia is expected to under-perform the Eastparc Hotel. In addition to that, Bank Pan is 2.51 times more volatile than Eastparc Hotel Tbk. It trades about -0.04 of its total potential returns per unit of risk. Eastparc Hotel Tbk is currently generating about -0.1 per unit of volatility. If you would invest 11,000 in Eastparc Hotel Tbk on December 30, 2024 and sell it today you would lose (900.00) from holding Eastparc Hotel Tbk or give up 8.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Pan Indonesia vs. Eastparc Hotel Tbk
Performance |
Timeline |
Bank Pan Indonesia |
Eastparc Hotel Tbk |
Bank Pan and Eastparc Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Pan and Eastparc Hotel
The main advantage of trading using opposite Bank Pan and Eastparc Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Pan position performs unexpectedly, Eastparc Hotel 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 Eastparc Hotel will offset losses from the drop in Eastparc Hotel's long position.Bank Pan vs. Bank Danamon Indonesia | Bank Pan vs. Bank Cimb Niaga | Bank Pan vs. Panin Financial Tbk | Bank Pan vs. Bank Maybank Indonesia |
Eastparc Hotel vs. Menteng Heritage Realty | Eastparc Hotel vs. Hotel Fitra International | Eastparc Hotel vs. Jasa Armada Indonesia | Eastparc Hotel vs. Cahayaputra Asa Keramik |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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