Correlation Between Bigbloc Construction and Next Mediaworks
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By analyzing existing cross correlation between Bigbloc Construction Limited and Next Mediaworks Limited, you can compare the effects of market volatilities on Bigbloc Construction and Next Mediaworks 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 Bigbloc Construction with a short position of Next Mediaworks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bigbloc Construction and Next Mediaworks.
Diversification Opportunities for Bigbloc Construction and Next Mediaworks
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bigbloc and Next is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Bigbloc Construction Limited and Next Mediaworks Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Next Mediaworks and Bigbloc Construction 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 Bigbloc Construction Limited are associated (or correlated) with Next Mediaworks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Next Mediaworks has no effect on the direction of Bigbloc Construction i.e., Bigbloc Construction and Next Mediaworks go up and down completely randomly.
Pair Corralation between Bigbloc Construction and Next Mediaworks
Assuming the 90 days trading horizon Bigbloc Construction Limited is expected to generate 2.03 times more return on investment than Next Mediaworks. However, Bigbloc Construction is 2.03 times more volatile than Next Mediaworks Limited. It trades about -0.29 of its potential returns per unit of risk. Next Mediaworks Limited is currently generating about -0.74 per unit of risk. If you would invest 11,529 in Bigbloc Construction Limited on October 10, 2024 and sell it today you would lose (1,632) from holding Bigbloc Construction Limited or give up 14.16% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bigbloc Construction Limited vs. Next Mediaworks Limited
Performance |
| Timeline |
| Bigbloc Construction |
| Next Mediaworks |
Bigbloc Construction and Next Mediaworks Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bigbloc Construction and Next Mediaworks
The main advantage of trading using opposite Bigbloc Construction and Next Mediaworks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bigbloc Construction position performs unexpectedly, Next Mediaworks 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 Next Mediaworks will offset losses from the drop in Next Mediaworks' long position.The idea behind Bigbloc Construction Limited and Next Mediaworks Limited 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.
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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