Correlation Between NEP Realty and Thantawan Industry
Can any of the company-specific risk be diversified away by investing in both NEP Realty and Thantawan Industry 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 NEP Realty and Thantawan Industry into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NEP Realty and and Thantawan Industry Public, you can compare the effects of market volatilities on NEP Realty and Thantawan Industry 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 NEP Realty with a short position of Thantawan Industry. Check out your portfolio center. Please also check ongoing floating volatility patterns of NEP Realty and Thantawan Industry.
Diversification Opportunities for NEP Realty and Thantawan Industry
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NEP and Thantawan is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding NEP Realty and and Thantawan Industry Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thantawan Industry Public and NEP Realty 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 NEP Realty and are associated (or correlated) with Thantawan Industry. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thantawan Industry Public has no effect on the direction of NEP Realty i.e., NEP Realty and Thantawan Industry go up and down completely randomly.
Pair Corralation between NEP Realty and Thantawan Industry
Assuming the 90 days trading horizon NEP Realty and is expected to under-perform the Thantawan Industry. In addition to that, NEP Realty is 4.26 times more volatile than Thantawan Industry Public. It trades about -0.21 of its total potential returns per unit of risk. Thantawan Industry Public is currently generating about -0.45 per unit of volatility. If you would invest 2,850 in Thantawan Industry Public on October 20, 2024 and sell it today you would lose (275.00) from holding Thantawan Industry Public or give up 9.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NEP Realty and vs. Thantawan Industry Public
Performance |
Timeline |
NEP Realty |
Thantawan Industry Public |
NEP Realty and Thantawan Industry Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NEP Realty and Thantawan Industry
The main advantage of trading using opposite NEP Realty and Thantawan Industry positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NEP Realty position performs unexpectedly, Thantawan Industry 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 Thantawan Industry will offset losses from the drop in Thantawan Industry's long position.NEP Realty vs. Asia Metal Public | NEP Realty vs. Chonburi Concrete Product | NEP Realty vs. Asia Plus Group | NEP Realty vs. CSP Steel Center |
Thantawan Industry vs. Asia Metal Public | Thantawan Industry vs. Chonburi Concrete Product | Thantawan Industry vs. Asia Plus Group | Thantawan Industry vs. CSP Steel Center |
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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