Correlation Between Gunkul Engineering and Dcon Products
Can any of the company-specific risk be diversified away by investing in both Gunkul Engineering and Dcon Products 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 Gunkul Engineering and Dcon Products into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gunkul Engineering Public and Dcon Products Public, you can compare the effects of market volatilities on Gunkul Engineering and Dcon Products 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 Gunkul Engineering with a short position of Dcon Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gunkul Engineering and Dcon Products.
Diversification Opportunities for Gunkul Engineering and Dcon Products
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Gunkul and Dcon is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Gunkul Engineering Public and Dcon Products Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dcon Products Public and Gunkul Engineering 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 Gunkul Engineering Public are associated (or correlated) with Dcon Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dcon Products Public has no effect on the direction of Gunkul Engineering i.e., Gunkul Engineering and Dcon Products go up and down completely randomly.
Pair Corralation between Gunkul Engineering and Dcon Products
Assuming the 90 days trading horizon Gunkul Engineering Public is expected to under-perform the Dcon Products. In addition to that, Gunkul Engineering is 1.01 times more volatile than Dcon Products Public. It trades about -0.21 of its total potential returns per unit of risk. Dcon Products Public is currently generating about 0.01 per unit of volatility. If you would invest 30.00 in Dcon Products Public on December 2, 2024 and sell it today you would earn a total of 0.00 from holding Dcon Products Public or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gunkul Engineering Public vs. Dcon Products Public
Performance |
Timeline |
Gunkul Engineering Public |
Dcon Products Public |
Gunkul Engineering and Dcon Products Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gunkul Engineering and Dcon Products
The main advantage of trading using opposite Gunkul Engineering and Dcon Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gunkul Engineering position performs unexpectedly, Dcon Products 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 Dcon Products will offset losses from the drop in Dcon Products' long position.Gunkul Engineering vs. Gulf Energy Development | Gunkul Engineering vs. Energy Absolute Public | Gunkul Engineering vs. Banpu Public | Gunkul Engineering vs. WHA Public |
Dcon Products vs. Dynasty Ceramic Public | Dcon Products vs. Chonburi Concrete Product | Dcon Products vs. General Engineering Public | Dcon Products vs. Eastern Star Real |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |