Correlation Between Fast Food and PT Ketrosden
Can any of the company-specific risk be diversified away by investing in both Fast Food and PT Ketrosden 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 Fast Food and PT Ketrosden into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fast Food Indonesia and PT Ketrosden Triasmitra, you can compare the effects of market volatilities on Fast Food and PT Ketrosden 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 Fast Food with a short position of PT Ketrosden. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Food and PT Ketrosden.
Diversification Opportunities for Fast Food and PT Ketrosden
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Fast and KETR is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Fast Food Indonesia and PT Ketrosden Triasmitra in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Ketrosden Triasmitra and Fast Food 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 Fast Food Indonesia are associated (or correlated) with PT Ketrosden. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Ketrosden Triasmitra has no effect on the direction of Fast Food i.e., Fast Food and PT Ketrosden go up and down completely randomly.
Pair Corralation between Fast Food and PT Ketrosden
Assuming the 90 days trading horizon Fast Food Indonesia is expected to generate 2.91 times more return on investment than PT Ketrosden. However, Fast Food is 2.91 times more volatile than PT Ketrosden Triasmitra. It trades about -0.03 of its potential returns per unit of risk. PT Ketrosden Triasmitra is currently generating about -0.15 per unit of risk. If you would invest 30,000 in Fast Food Indonesia on October 20, 2024 and sell it today you would lose (1,400) from holding Fast Food Indonesia or give up 4.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Food Indonesia vs. PT Ketrosden Triasmitra
Performance |
Timeline |
Fast Food Indonesia |
PT Ketrosden Triasmitra |
Fast Food and PT Ketrosden Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Food and PT Ketrosden
The main advantage of trading using opposite Fast Food and PT Ketrosden positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Food position performs unexpectedly, PT Ketrosden 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 Ketrosden will offset losses from the drop in PT Ketrosden's long position.Fast Food vs. Hero Supermarket Tbk | Fast Food vs. Indoritel Makmur Internasional | Fast Food vs. Enseval Putra Megatrading | Fast Food vs. Fks Multi Agro |
PT Ketrosden vs. Solusi Tunas Pratama | PT Ketrosden vs. Communication Cable Systems | PT Ketrosden vs. Multi Medika Internasional | PT Ketrosden vs. PT Indofood Sukses |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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