Correlation Between Techno Agricultural and Song Hong
Can any of the company-specific risk be diversified away by investing in both Techno Agricultural and Song Hong 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 Techno Agricultural and Song Hong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Techno Agricultural Supplying and Song Hong Aluminum, you can compare the effects of market volatilities on Techno Agricultural and Song Hong 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 Techno Agricultural with a short position of Song Hong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Techno Agricultural and Song Hong.
Diversification Opportunities for Techno Agricultural and Song Hong
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Techno and Song is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Techno Agricultural Supplying and Song Hong Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Song Hong Aluminum and Techno Agricultural 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 Techno Agricultural Supplying are associated (or correlated) with Song Hong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Song Hong Aluminum has no effect on the direction of Techno Agricultural i.e., Techno Agricultural and Song Hong go up and down completely randomly.
Pair Corralation between Techno Agricultural and Song Hong
Assuming the 90 days trading horizon Techno Agricultural Supplying is expected to generate 0.54 times more return on investment than Song Hong. However, Techno Agricultural Supplying is 1.85 times less risky than Song Hong. It trades about -0.18 of its potential returns per unit of risk. Song Hong Aluminum is currently generating about -0.11 per unit of risk. If you would invest 284,000 in Techno Agricultural Supplying on September 30, 2024 and sell it today you would lose (36,000) from holding Techno Agricultural Supplying or give up 12.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.48% |
Values | Daily Returns |
Techno Agricultural Supplying vs. Song Hong Aluminum
Performance |
Timeline |
Techno Agricultural |
Song Hong Aluminum |
Techno Agricultural and Song Hong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Techno Agricultural and Song Hong
The main advantage of trading using opposite Techno Agricultural and Song Hong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Techno Agricultural position performs unexpectedly, Song Hong 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 Song Hong will offset losses from the drop in Song Hong's long position.Techno Agricultural vs. FIT INVEST JSC | Techno Agricultural vs. Damsan JSC | Techno Agricultural vs. An Phat Plastic | Techno Agricultural vs. Alphanam ME |
Song Hong vs. FIT INVEST JSC | Song Hong vs. Damsan JSC | Song Hong vs. An Phat Plastic | Song Hong vs. Alphanam ME |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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