Correlation Between Loads and Ghani Gases
Can any of the company-specific risk be diversified away by investing in both Loads and Ghani Gases 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 Loads and Ghani Gases into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loads and Ghani Gases, you can compare the effects of market volatilities on Loads and Ghani Gases 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 Loads with a short position of Ghani Gases. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loads and Ghani Gases.
Diversification Opportunities for Loads and Ghani Gases
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Loads and Ghani is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Loads and Ghani Gases in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ghani Gases and Loads 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 Loads are associated (or correlated) with Ghani Gases. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ghani Gases has no effect on the direction of Loads i.e., Loads and Ghani Gases go up and down completely randomly.
Pair Corralation between Loads and Ghani Gases
Assuming the 90 days trading horizon Loads is expected to generate 1.5 times less return on investment than Ghani Gases. But when comparing it to its historical volatility, Loads is 1.14 times less risky than Ghani Gases. It trades about 0.19 of its potential returns per unit of risk. Ghani Gases is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 886.00 in Ghani Gases on September 29, 2024 and sell it today you would earn a total of 696.00 from holding Ghani Gases or generate 78.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loads vs. Ghani Gases
Performance |
Timeline |
Loads |
Ghani Gases |
Loads and Ghani Gases Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loads and Ghani Gases
The main advantage of trading using opposite Loads and Ghani Gases positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loads position performs unexpectedly, Ghani Gases 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 Ghani Gases will offset losses from the drop in Ghani Gases' long position.The idea behind Loads and Ghani Gases pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Ghani Gases vs. National Bank of | Ghani Gases vs. United Bank | Ghani Gases vs. Bank Alfalah | Ghani Gases vs. Allied 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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