Correlation Between Tin Nghia and Telecoms Informatics
Can any of the company-specific risk be diversified away by investing in both Tin Nghia and Telecoms Informatics 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 Tin Nghia and Telecoms Informatics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tin Nghia Industrial and Telecoms Informatics JSC, you can compare the effects of market volatilities on Tin Nghia and Telecoms Informatics 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 Tin Nghia with a short position of Telecoms Informatics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tin Nghia and Telecoms Informatics.
Diversification Opportunities for Tin Nghia and Telecoms Informatics
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tin and Telecoms is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Tin Nghia Industrial and Telecoms Informatics JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Telecoms Informatics JSC and Tin Nghia 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 Tin Nghia Industrial are associated (or correlated) with Telecoms Informatics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Telecoms Informatics JSC has no effect on the direction of Tin Nghia i.e., Tin Nghia and Telecoms Informatics go up and down completely randomly.
Pair Corralation between Tin Nghia and Telecoms Informatics
Assuming the 90 days trading horizon Tin Nghia Industrial is expected to generate 0.63 times more return on investment than Telecoms Informatics. However, Tin Nghia Industrial is 1.6 times less risky than Telecoms Informatics. It trades about 0.17 of its potential returns per unit of risk. Telecoms Informatics JSC is currently generating about 0.05 per unit of risk. If you would invest 2,036,800 in Tin Nghia Industrial on December 4, 2024 and sell it today you would earn a total of 233,200 from holding Tin Nghia Industrial or generate 11.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tin Nghia Industrial vs. Telecoms Informatics JSC
Performance |
Timeline |
Tin Nghia Industrial |
Telecoms Informatics JSC |
Tin Nghia and Telecoms Informatics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tin Nghia and Telecoms Informatics
The main advantage of trading using opposite Tin Nghia and Telecoms Informatics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tin Nghia position performs unexpectedly, Telecoms Informatics 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 Telecoms Informatics will offset losses from the drop in Telecoms Informatics' long position.Tin Nghia vs. SCG Construction JSC | Tin Nghia vs. Techno Agricultural Supplying | Tin Nghia vs. Song Hong Construction | Tin Nghia vs. Saigon Viendong Technology |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
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