Correlation Between Mari Petroleum and Pakistan Telecommunicatio
Can any of the company-specific risk be diversified away by investing in both Mari Petroleum and Pakistan Telecommunicatio 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 Mari Petroleum and Pakistan Telecommunicatio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mari Petroleum and Pakistan Telecommunication, you can compare the effects of market volatilities on Mari Petroleum and Pakistan Telecommunicatio 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 Mari Petroleum with a short position of Pakistan Telecommunicatio. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mari Petroleum and Pakistan Telecommunicatio.
Diversification Opportunities for Mari Petroleum and Pakistan Telecommunicatio
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mari and Pakistan is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Mari Petroleum and Pakistan Telecommunication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Telecommunicatio and Mari 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 Mari Petroleum are associated (or correlated) with Pakistan Telecommunicatio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan Telecommunicatio has no effect on the direction of Mari Petroleum i.e., Mari Petroleum and Pakistan Telecommunicatio go up and down completely randomly.
Pair Corralation between Mari Petroleum and Pakistan Telecommunicatio
Assuming the 90 days trading horizon Mari Petroleum is expected to generate 1.88 times more return on investment than Pakistan Telecommunicatio. However, Mari Petroleum is 1.88 times more volatile than Pakistan Telecommunication. It trades about 0.17 of its potential returns per unit of risk. Pakistan Telecommunication is currently generating about 0.23 per unit of risk. If you would invest 25,170 in Mari Petroleum on September 5, 2024 and sell it today you would earn a total of 23,245 from holding Mari Petroleum or generate 92.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Mari Petroleum vs. Pakistan Telecommunication
Performance |
Timeline |
Mari Petroleum |
Pakistan Telecommunicatio |
Mari Petroleum and Pakistan Telecommunicatio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mari Petroleum and Pakistan Telecommunicatio
The main advantage of trading using opposite Mari Petroleum and Pakistan Telecommunicatio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mari Petroleum position performs unexpectedly, Pakistan Telecommunicatio 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 Pakistan Telecommunicatio will offset losses from the drop in Pakistan Telecommunicatio's long position.Mari Petroleum vs. Oil and Gas | Mari Petroleum vs. Pakistan State Oil | Mari Petroleum vs. Pakistan Petroleum | Mari Petroleum vs. Fauji Fertilizer |
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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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