Correlation Between Diamond Building and Samart Digital
Can any of the company-specific risk be diversified away by investing in both Diamond Building and Samart Digital 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 Diamond Building and Samart Digital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Diamond Building Products and Samart Digital Public, you can compare the effects of market volatilities on Diamond Building and Samart Digital 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 Diamond Building with a short position of Samart Digital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Diamond Building and Samart Digital.
Diversification Opportunities for Diamond Building and Samart Digital
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Diamond and Samart is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Diamond Building Products and Samart Digital Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samart Digital Public and Diamond Building 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 Diamond Building Products are associated (or correlated) with Samart Digital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samart Digital Public has no effect on the direction of Diamond Building i.e., Diamond Building and Samart Digital go up and down completely randomly.
Pair Corralation between Diamond Building and Samart Digital
Assuming the 90 days trading horizon Diamond Building Products is expected to generate 0.07 times more return on investment than Samart Digital. However, Diamond Building Products is 14.12 times less risky than Samart Digital. It trades about -0.21 of its potential returns per unit of risk. Samart Digital Public is currently generating about -0.27 per unit of risk. If you would invest 780.00 in Diamond Building Products on September 14, 2024 and sell it today you would lose (20.00) from holding Diamond Building Products or give up 2.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Diamond Building Products vs. Samart Digital Public
Performance |
Timeline |
Diamond Building Products |
Samart Digital Public |
Diamond Building and Samart Digital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Diamond Building and Samart Digital
The main advantage of trading using opposite Diamond Building and Samart Digital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Diamond Building position performs unexpectedly, Samart Digital 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 Samart Digital will offset losses from the drop in Samart Digital's long position.Diamond Building vs. Thantawan Industry Public | Diamond Building vs. The Erawan Group | Diamond Building vs. Jay Mart Public | Diamond Building vs. Airports of Thailand |
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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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