Correlation Between Orkla ASA and Indofood Sukses
Can any of the company-specific risk be diversified away by investing in both Orkla ASA and Indofood Sukses 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 Orkla ASA and Indofood Sukses into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Orkla ASA ADR and Indofood Sukses Makmur, you can compare the effects of market volatilities on Orkla ASA and Indofood Sukses 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 Orkla ASA with a short position of Indofood Sukses. Check out your portfolio center. Please also check ongoing floating volatility patterns of Orkla ASA and Indofood Sukses.
Diversification Opportunities for Orkla ASA and Indofood Sukses
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Orkla and Indofood is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Orkla ASA ADR and Indofood Sukses Makmur in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Indofood Sukses Makmur and Orkla ASA 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 Orkla ASA ADR are associated (or correlated) with Indofood Sukses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Indofood Sukses Makmur has no effect on the direction of Orkla ASA i.e., Orkla ASA and Indofood Sukses go up and down completely randomly.
Pair Corralation between Orkla ASA and Indofood Sukses
Assuming the 90 days horizon Orkla ASA ADR is expected to under-perform the Indofood Sukses. But the pink sheet apears to be less risky and, when comparing its historical volatility, Orkla ASA ADR is 2.8 times less risky than Indofood Sukses. The pink sheet trades about -0.06 of its potential returns per unit of risk. The Indofood Sukses Makmur is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,210 in Indofood Sukses Makmur on September 29, 2024 and sell it today you would earn a total of 75.00 from holding Indofood Sukses Makmur or generate 3.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Orkla ASA ADR vs. Indofood Sukses Makmur
Performance |
Timeline |
Orkla ASA ADR |
Indofood Sukses Makmur |
Orkla ASA and Indofood Sukses Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Orkla ASA and Indofood Sukses
The main advantage of trading using opposite Orkla ASA and Indofood Sukses positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Orkla ASA position performs unexpectedly, Indofood Sukses 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 Indofood Sukses will offset losses from the drop in Indofood Sukses' long position.Orkla ASA vs. Yuenglings Ice Cream | Orkla ASA vs. Bit Origin | Orkla ASA vs. Blue Star Foods | Orkla ASA vs. Better Choice |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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