Correlation Between Oriental Food and Petronas Gas
Can any of the company-specific risk be diversified away by investing in both Oriental Food and Petronas Gas 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 Oriental Food and Petronas Gas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oriental Food Industries and Petronas Gas Bhd, you can compare the effects of market volatilities on Oriental Food and Petronas Gas 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 Oriental Food with a short position of Petronas Gas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oriental Food and Petronas Gas.
Diversification Opportunities for Oriental Food and Petronas Gas
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Oriental and Petronas is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Oriental Food Industries and Petronas Gas Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petronas Gas Bhd and Oriental 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 Oriental Food Industries are associated (or correlated) with Petronas Gas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petronas Gas Bhd has no effect on the direction of Oriental Food i.e., Oriental Food and Petronas Gas go up and down completely randomly.
Pair Corralation between Oriental Food and Petronas Gas
Assuming the 90 days trading horizon Oriental Food Industries is expected to under-perform the Petronas Gas. In addition to that, Oriental Food is 2.75 times more volatile than Petronas Gas Bhd. It trades about -0.03 of its total potential returns per unit of risk. Petronas Gas Bhd is currently generating about 0.0 per unit of volatility. If you would invest 1,713 in Petronas Gas Bhd on October 25, 2024 and sell it today you would lose (5.00) from holding Petronas Gas Bhd or give up 0.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Oriental Food Industries vs. Petronas Gas Bhd
Performance |
Timeline |
Oriental Food Industries |
Petronas Gas Bhd |
Oriental Food and Petronas Gas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oriental Food and Petronas Gas
The main advantage of trading using opposite Oriental Food and Petronas Gas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oriental Food position performs unexpectedly, Petronas Gas 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 Petronas Gas will offset losses from the drop in Petronas Gas' long position.Oriental Food vs. DC HEALTHCARE HOLDINGS | Oriental Food vs. Datasonic Group Bhd | Oriental Food vs. Al Aqar Healthcare | Oriental Food vs. Media Prima Bhd |
Petronas Gas vs. Eonmetall Group Bhd | Petronas Gas vs. PIE Industrial Bhd | Petronas Gas vs. Binasat Communications Bhd | Petronas Gas vs. FARM FRESH BERHAD |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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