Correlation Between Jakarta Int and PT Indofood
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and PT Indofood 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 PT Indofood 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 PT Indofood Sukses, you can compare the effects of market volatilities on Jakarta Int and PT Indofood 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 PT Indofood. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and PT Indofood.
Diversification Opportunities for Jakarta Int and PT Indofood
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jakarta and INDF is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and PT Indofood Sukses in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Indofood Sukses 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 PT Indofood. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Indofood Sukses has no effect on the direction of Jakarta Int i.e., Jakarta Int and PT Indofood go up and down completely randomly.
Pair Corralation between Jakarta Int and PT Indofood
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 5.7 times more return on investment than PT Indofood. However, Jakarta Int is 5.7 times more volatile than PT Indofood Sukses. It trades about 0.44 of its potential returns per unit of risk. PT Indofood Sukses is currently generating about 0.12 per unit of risk. If you would invest 33,200 in Jakarta Int Hotels on September 1, 2024 and sell it today you would earn a total of 263,800 from holding Jakarta Int Hotels or generate 794.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. PT Indofood Sukses
Performance |
Timeline |
Jakarta Int Hotels |
PT Indofood Sukses |
Jakarta Int and PT Indofood Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and PT Indofood
The main advantage of trading using opposite Jakarta Int and PT Indofood positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, PT Indofood 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 PT Indofood will offset losses from the drop in PT Indofood'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 |
PT Indofood vs. Bank BRISyariah Tbk | PT Indofood vs. Mitra Pinasthika Mustika | PT Indofood vs. Jakarta Int Hotels | PT Indofood vs. Indosterling Technomedia Tbk |
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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