Correlation Between Shin Kong and Taiwan Hopax
Can any of the company-specific risk be diversified away by investing in both Shin Kong and Taiwan Hopax 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 Shin Kong and Taiwan Hopax into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shin Kong Financial and Taiwan Hopax Chemsistry, you can compare the effects of market volatilities on Shin Kong and Taiwan Hopax 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 Shin Kong with a short position of Taiwan Hopax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shin Kong and Taiwan Hopax.
Diversification Opportunities for Shin Kong and Taiwan Hopax
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Shin and Taiwan is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Shin Kong Financial and Taiwan Hopax Chemsistry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taiwan Hopax Chemsistry and Shin Kong 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 Shin Kong Financial are associated (or correlated) with Taiwan Hopax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taiwan Hopax Chemsistry has no effect on the direction of Shin Kong i.e., Shin Kong and Taiwan Hopax go up and down completely randomly.
Pair Corralation between Shin Kong and Taiwan Hopax
Assuming the 90 days trading horizon Shin Kong Financial is expected to generate 1.02 times more return on investment than Taiwan Hopax. However, Shin Kong is 1.02 times more volatile than Taiwan Hopax Chemsistry. It trades about 0.05 of its potential returns per unit of risk. Taiwan Hopax Chemsistry is currently generating about 0.01 per unit of risk. If you would invest 871.00 in Shin Kong Financial on August 30, 2024 and sell it today you would earn a total of 304.00 from holding Shin Kong Financial or generate 34.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.79% |
| Values | Daily Returns |
Shin Kong Financial vs. Taiwan Hopax Chemsistry
Performance |
| Timeline |
| Shin Kong Financial |
| Taiwan Hopax Chemsistry |
Shin Kong and Taiwan Hopax Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Shin Kong and Taiwan Hopax
The main advantage of trading using opposite Shin Kong and Taiwan Hopax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shin Kong position performs unexpectedly, Taiwan Hopax 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 Taiwan Hopax will offset losses from the drop in Taiwan Hopax's long position.| Shin Kong vs. Taiwan Secom Co | Shin Kong vs. TTET Union Corp | Shin Kong vs. China Steel Chemical | Shin Kong vs. Taiwan Shin Kong |
| Taiwan Hopax vs. Nantex Industry Co | Taiwan Hopax vs. Chong Hong Construction | Taiwan Hopax vs. Cleanaway Co | Taiwan Hopax vs. Symtek Automation Asia |
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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