Correlation Between Pak Gulf and Pakistan Synthetics
Can any of the company-specific risk be diversified away by investing in both Pak Gulf and Pakistan Synthetics 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 Pak Gulf and Pakistan Synthetics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pak Gulf Leasing and Pakistan Synthetics, you can compare the effects of market volatilities on Pak Gulf and Pakistan Synthetics 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 Pak Gulf with a short position of Pakistan Synthetics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pak Gulf and Pakistan Synthetics.
Diversification Opportunities for Pak Gulf and Pakistan Synthetics
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pak and Pakistan is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Pak Gulf Leasing and Pakistan Synthetics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Synthetics and Pak Gulf 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 Pak Gulf Leasing are associated (or correlated) with Pakistan Synthetics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan Synthetics has no effect on the direction of Pak Gulf i.e., Pak Gulf and Pakistan Synthetics go up and down completely randomly.
Pair Corralation between Pak Gulf and Pakistan Synthetics
Assuming the 90 days trading horizon Pak Gulf Leasing is expected to generate 1.26 times more return on investment than Pakistan Synthetics. However, Pak Gulf is 1.26 times more volatile than Pakistan Synthetics. It trades about 0.16 of its potential returns per unit of risk. Pakistan Synthetics is currently generating about 0.2 per unit of risk. If you would invest 733.00 in Pak Gulf Leasing on September 18, 2024 and sell it today you would earn a total of 398.00 from holding Pak Gulf Leasing or generate 54.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pak Gulf Leasing vs. Pakistan Synthetics
Performance |
Timeline |
Pak Gulf Leasing |
Pakistan Synthetics |
Pak Gulf and Pakistan Synthetics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pak Gulf and Pakistan Synthetics
The main advantage of trading using opposite Pak Gulf and Pakistan Synthetics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pak Gulf position performs unexpectedly, Pakistan Synthetics 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 Synthetics will offset losses from the drop in Pakistan Synthetics' long position.Pak Gulf vs. Pakistan Synthetics | Pak Gulf vs. Sindh Modaraba Management | Pak Gulf vs. Sardar Chemical Industries | Pak Gulf vs. Ghani Chemical Industries |
Pakistan Synthetics vs. Masood Textile Mills | Pakistan Synthetics vs. Fauji Foods | Pakistan Synthetics vs. KSB Pumps | Pakistan Synthetics vs. Mari Petroleum |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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