Correlation Between Wah Nobel and Century Insurance
Can any of the company-specific risk be diversified away by investing in both Wah Nobel and Century Insurance 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 Wah Nobel and Century Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wah Nobel Chemicals and Century Insurance, you can compare the effects of market volatilities on Wah Nobel and Century Insurance 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 Wah Nobel with a short position of Century Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wah Nobel and Century Insurance.
Diversification Opportunities for Wah Nobel and Century Insurance
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Wah and Century is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Wah Nobel Chemicals and Century Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Century Insurance and Wah Nobel 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 Wah Nobel Chemicals are associated (or correlated) with Century Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Century Insurance has no effect on the direction of Wah Nobel i.e., Wah Nobel and Century Insurance go up and down completely randomly.
Pair Corralation between Wah Nobel and Century Insurance
Assuming the 90 days trading horizon Wah Nobel is expected to generate 1.3 times less return on investment than Century Insurance. In addition to that, Wah Nobel is 1.11 times more volatile than Century Insurance. It trades about 0.09 of its total potential returns per unit of risk. Century Insurance is currently generating about 0.13 per unit of volatility. If you would invest 2,475 in Century Insurance on October 9, 2024 and sell it today you would earn a total of 1,394 from holding Century Insurance or generate 56.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.03% |
Values | Daily Returns |
Wah Nobel Chemicals vs. Century Insurance
Performance |
Timeline |
Wah Nobel Chemicals |
Century Insurance |
Wah Nobel and Century Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wah Nobel and Century Insurance
The main advantage of trading using opposite Wah Nobel and Century Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wah Nobel position performs unexpectedly, Century Insurance 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 Century Insurance will offset losses from the drop in Century Insurance's long position.Wah Nobel vs. Engro Polymer Chemicals | Wah Nobel vs. AKD Hospitality | Wah Nobel vs. Fateh Sports Wear | Wah Nobel vs. Lotte Chemical Pakistan |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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