Correlation Between Tong Hsing and Forest Water
Can any of the company-specific risk be diversified away by investing in both Tong Hsing and Forest Water 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 Tong Hsing and Forest Water into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tong Hsing Electronic and Forest Water Environmental, you can compare the effects of market volatilities on Tong Hsing and Forest Water 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 Tong Hsing with a short position of Forest Water. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tong Hsing and Forest Water.
Diversification Opportunities for Tong Hsing and Forest Water
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Tong and Forest is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Tong Hsing Electronic and Forest Water Environmental in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Forest Water Environ and Tong Hsing 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 Tong Hsing Electronic are associated (or correlated) with Forest Water. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Forest Water Environ has no effect on the direction of Tong Hsing i.e., Tong Hsing and Forest Water go up and down completely randomly.
Pair Corralation between Tong Hsing and Forest Water
Assuming the 90 days trading horizon Tong Hsing Electronic is expected to generate 0.93 times more return on investment than Forest Water. However, Tong Hsing Electronic is 1.08 times less risky than Forest Water. It trades about 0.09 of its potential returns per unit of risk. Forest Water Environmental is currently generating about -0.12 per unit of risk. If you would invest 12,850 in Tong Hsing Electronic on October 9, 2024 and sell it today you would earn a total of 750.00 from holding Tong Hsing Electronic or generate 5.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.62% |
Values | Daily Returns |
Tong Hsing Electronic vs. Forest Water Environmental
Performance |
Timeline |
Tong Hsing Electronic |
Forest Water Environ |
Tong Hsing and Forest Water Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tong Hsing and Forest Water
The main advantage of trading using opposite Tong Hsing and Forest Water positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tong Hsing position performs unexpectedly, Forest Water 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 Forest Water will offset losses from the drop in Forest Water's long position.Tong Hsing vs. Kinsus Interconnect Technology | Tong Hsing vs. Unimicron Technology Corp | Tong Hsing vs. Nan Ya Printed | Tong Hsing vs. WIN Semiconductors |
Forest Water vs. Cleanaway Co | Forest Water vs. Sunny Friend Environmental | Forest Water vs. Taiwan Secom Co | Forest Water vs. Taiwan Shin Kong |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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