Correlation Between Jakarta Int and Hotel Fitra
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Hotel Fitra 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 Jakarta Int and Hotel Fitra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jakarta Int Hotels and Hotel Fitra International, you can compare the effects of market volatilities on Jakarta Int and Hotel Fitra 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 Jakarta Int with a short position of Hotel Fitra. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Hotel Fitra.
Diversification Opportunities for Jakarta Int and Hotel Fitra
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Jakarta and Hotel is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Hotel Fitra International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hotel Fitra International and Jakarta Int 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 Jakarta Int Hotels are associated (or correlated) with Hotel Fitra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hotel Fitra International has no effect on the direction of Jakarta Int i.e., Jakarta Int and Hotel Fitra go up and down completely randomly.
Pair Corralation between Jakarta Int and Hotel Fitra
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 1.88 times more return on investment than Hotel Fitra. However, Jakarta Int is 1.88 times more volatile than Hotel Fitra International. It trades about 0.28 of its potential returns per unit of risk. Hotel Fitra International is currently generating about -0.23 per unit of risk. If you would invest 33,800 in Jakarta Int Hotels on September 1, 2024 and sell it today you would earn a total of 263,200 from holding Jakarta Int Hotels or generate 778.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.21% |
Values | Daily Returns |
Jakarta Int Hotels vs. Hotel Fitra International
Performance |
Timeline |
Jakarta Int Hotels |
Hotel Fitra International |
Jakarta Int and Hotel Fitra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Hotel Fitra
The main advantage of trading using opposite Jakarta Int and Hotel Fitra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Hotel Fitra 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 Hotel Fitra will offset losses from the drop in Hotel Fitra's long position.Jakarta Int vs. Japfa Comfeed Indonesia | Jakarta Int vs. Charoen Pokphand Indonesia | Jakarta Int vs. Erajaya Swasembada Tbk | Jakarta Int vs. Indofood Cbp Sukses |
Hotel Fitra vs. Eastparc Hotel Tbk | Hotel Fitra vs. Menteng Heritage Realty | Hotel Fitra vs. Sanurhasta Mitra PT | Hotel Fitra vs. Sentra Food Indonesia |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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