Correlation Between Pakistan Petroleum and Millat Tractors
Can any of the company-specific risk be diversified away by investing in both Pakistan Petroleum and Millat Tractors 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 Pakistan Petroleum and Millat Tractors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pakistan Petroleum and Millat Tractors, you can compare the effects of market volatilities on Pakistan Petroleum and Millat Tractors 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 Pakistan Petroleum with a short position of Millat Tractors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pakistan Petroleum and Millat Tractors.
Diversification Opportunities for Pakistan Petroleum and Millat Tractors
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Pakistan and Millat is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Pakistan Petroleum and Millat Tractors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Millat Tractors and Pakistan Petroleum 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 Pakistan Petroleum are associated (or correlated) with Millat Tractors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Millat Tractors has no effect on the direction of Pakistan Petroleum i.e., Pakistan Petroleum and Millat Tractors go up and down completely randomly.
Pair Corralation between Pakistan Petroleum and Millat Tractors
Assuming the 90 days trading horizon Pakistan Petroleum is expected to generate 1.48 times more return on investment than Millat Tractors. However, Pakistan Petroleum is 1.48 times more volatile than Millat Tractors. It trades about 0.1 of its potential returns per unit of risk. Millat Tractors is currently generating about 0.1 per unit of risk. If you would invest 6,468 in Pakistan Petroleum on September 26, 2024 and sell it today you would earn a total of 13,567 from holding Pakistan Petroleum or generate 209.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.79% |
Values | Daily Returns |
Pakistan Petroleum vs. Millat Tractors
Performance |
Timeline |
Pakistan Petroleum |
Millat Tractors |
Pakistan Petroleum and Millat Tractors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pakistan Petroleum and Millat Tractors
The main advantage of trading using opposite Pakistan Petroleum and Millat Tractors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pakistan Petroleum position performs unexpectedly, Millat Tractors 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 Millat Tractors will offset losses from the drop in Millat Tractors' long position.Pakistan Petroleum vs. Habib Bank | Pakistan Petroleum vs. National Bank of | Pakistan Petroleum vs. United Bank | Pakistan Petroleum vs. MCB Bank |
Millat Tractors vs. Habib Bank | Millat Tractors vs. National Bank of | Millat Tractors vs. United Bank | Millat Tractors vs. MCB Bank |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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