Correlation Between Pakistan Synthetics and Thatta Cement
Can any of the company-specific risk be diversified away by investing in both Pakistan Synthetics and Thatta Cement 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 Synthetics and Thatta Cement into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pakistan Synthetics and Thatta Cement, you can compare the effects of market volatilities on Pakistan Synthetics and Thatta Cement 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 Synthetics with a short position of Thatta Cement. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pakistan Synthetics and Thatta Cement.
Diversification Opportunities for Pakistan Synthetics and Thatta Cement
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pakistan and Thatta is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Pakistan Synthetics and Thatta Cement in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thatta Cement and Pakistan Synthetics 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 Synthetics are associated (or correlated) with Thatta Cement. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thatta Cement has no effect on the direction of Pakistan Synthetics i.e., Pakistan Synthetics and Thatta Cement go up and down completely randomly.
Pair Corralation between Pakistan Synthetics and Thatta Cement
Assuming the 90 days trading horizon Pakistan Synthetics is expected to generate 2.47 times less return on investment than Thatta Cement. But when comparing it to its historical volatility, Pakistan Synthetics is 1.93 times less risky than Thatta Cement. It trades about 0.23 of its potential returns per unit of risk. Thatta Cement is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 11,561 in Thatta Cement on September 1, 2024 and sell it today you would earn a total of 4,581 from holding Thatta Cement or generate 39.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pakistan Synthetics vs. Thatta Cement
Performance |
Timeline |
Pakistan Synthetics |
Thatta Cement |
Pakistan Synthetics and Thatta Cement Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pakistan Synthetics and Thatta Cement
The main advantage of trading using opposite Pakistan Synthetics and Thatta Cement positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pakistan Synthetics position performs unexpectedly, Thatta Cement 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 Thatta Cement will offset losses from the drop in Thatta Cement's long position.Pakistan Synthetics vs. Masood Textile Mills | Pakistan Synthetics vs. Fauji Foods | Pakistan Synthetics vs. KSB Pumps | Pakistan Synthetics vs. Mari Petroleum |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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