Correlation Between TPL Insurance and Agha Steel
Can any of the company-specific risk be diversified away by investing in both TPL Insurance and Agha Steel 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 TPL Insurance and Agha Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TPL Insurance and Agha Steel Industries, you can compare the effects of market volatilities on TPL Insurance and Agha Steel 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 TPL Insurance with a short position of Agha Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of TPL Insurance and Agha Steel.
Diversification Opportunities for TPL Insurance and Agha Steel
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between TPL and Agha is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding TPL Insurance and Agha Steel Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agha Steel Industries and TPL Insurance 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 TPL Insurance are associated (or correlated) with Agha Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agha Steel Industries has no effect on the direction of TPL Insurance i.e., TPL Insurance and Agha Steel go up and down completely randomly.
Pair Corralation between TPL Insurance and Agha Steel
Assuming the 90 days trading horizon TPL Insurance is expected to generate 0.98 times more return on investment than Agha Steel. However, TPL Insurance is 1.02 times less risky than Agha Steel. It trades about 0.07 of its potential returns per unit of risk. Agha Steel Industries is currently generating about -0.08 per unit of risk. If you would invest 962.00 in TPL Insurance on September 15, 2024 and sell it today you would earn a total of 108.00 from holding TPL Insurance or generate 11.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
TPL Insurance vs. Agha Steel Industries
Performance |
Timeline |
TPL Insurance |
Agha Steel Industries |
TPL Insurance and Agha Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TPL Insurance and Agha Steel
The main advantage of trading using opposite TPL Insurance and Agha Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TPL Insurance position performs unexpectedly, Agha Steel 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 Agha Steel will offset losses from the drop in Agha Steel's long position.TPL Insurance vs. Ittehad Chemicals | TPL Insurance vs. Pakistan Aluminium Beverage | TPL Insurance vs. JS Investments | TPL Insurance vs. Atlas Insurance |
Agha Steel vs. TPL Insurance | Agha Steel vs. Ghandhara Automobile | Agha Steel vs. Askari General Insurance | Agha Steel vs. Adamjee Insurance |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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