Correlation Between Saigon Machinery and Truong Thanh
Can any of the company-specific risk be diversified away by investing in both Saigon Machinery and Truong Thanh 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 Saigon Machinery and Truong Thanh into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saigon Machinery Spare and Truong Thanh Furniture, you can compare the effects of market volatilities on Saigon Machinery and Truong Thanh 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 Saigon Machinery with a short position of Truong Thanh. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saigon Machinery and Truong Thanh.
Diversification Opportunities for Saigon Machinery and Truong Thanh
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Saigon and Truong is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Saigon Machinery Spare and Truong Thanh Furniture in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Truong Thanh Furniture and Saigon Machinery 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 Saigon Machinery Spare are associated (or correlated) with Truong Thanh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Truong Thanh Furniture has no effect on the direction of Saigon Machinery i.e., Saigon Machinery and Truong Thanh go up and down completely randomly.
Pair Corralation between Saigon Machinery and Truong Thanh
Assuming the 90 days trading horizon Saigon Machinery Spare is expected to under-perform the Truong Thanh. In addition to that, Saigon Machinery is 4.0 times more volatile than Truong Thanh Furniture. It trades about -0.01 of its total potential returns per unit of risk. Truong Thanh Furniture is currently generating about 0.03 per unit of volatility. If you would invest 305,000 in Truong Thanh Furniture on December 22, 2024 and sell it today you would earn a total of 5,000 from holding Truong Thanh Furniture or generate 1.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 42.37% |
Values | Daily Returns |
Saigon Machinery Spare vs. Truong Thanh Furniture
Performance |
Timeline |
Saigon Machinery Spare |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Truong Thanh Furniture |
Saigon Machinery and Truong Thanh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saigon Machinery and Truong Thanh
The main advantage of trading using opposite Saigon Machinery and Truong Thanh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saigon Machinery position performs unexpectedly, Truong Thanh 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 Truong Thanh will offset losses from the drop in Truong Thanh's long position.Saigon Machinery vs. PVI Reinsurance Corp | Saigon Machinery vs. Military Insurance Corp | Saigon Machinery vs. Vietnam Dairy Products | Saigon Machinery vs. Long An Food |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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