Correlation Between Yeong Guan and Catcher Technology
Can any of the company-specific risk be diversified away by investing in both Yeong Guan and Catcher Technology 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 Yeong Guan and Catcher Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yeong Guan Energy and Catcher Technology Co, you can compare the effects of market volatilities on Yeong Guan and Catcher Technology 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 Yeong Guan with a short position of Catcher Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yeong Guan and Catcher Technology.
Diversification Opportunities for Yeong Guan and Catcher Technology
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Yeong and Catcher is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Yeong Guan Energy and Catcher Technology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catcher Technology and Yeong Guan 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 Yeong Guan Energy are associated (or correlated) with Catcher Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catcher Technology has no effect on the direction of Yeong Guan i.e., Yeong Guan and Catcher Technology go up and down completely randomly.
Pair Corralation between Yeong Guan and Catcher Technology
Assuming the 90 days trading horizon Yeong Guan Energy is expected to under-perform the Catcher Technology. But the stock apears to be less risky and, when comparing its historical volatility, Yeong Guan Energy is 1.02 times less risky than Catcher Technology. The stock trades about -0.2 of its potential returns per unit of risk. The Catcher Technology Co is currently generating about -0.19 of returns per unit of risk over similar time horizon. If you would invest 23,650 in Catcher Technology Co on September 28, 2024 and sell it today you would lose (4,500) from holding Catcher Technology Co or give up 19.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Yeong Guan Energy vs. Catcher Technology Co
Performance |
Timeline |
Yeong Guan Energy |
Catcher Technology |
Yeong Guan and Catcher Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yeong Guan and Catcher Technology
The main advantage of trading using opposite Yeong Guan and Catcher Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yeong Guan position performs unexpectedly, Catcher Technology 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 Catcher Technology will offset losses from the drop in Catcher Technology's long position.Yeong Guan vs. Formosa Chemicals Fibre | Yeong Guan vs. China Steel Corp | Yeong Guan vs. Formosa Petrochemical Corp | Yeong Guan vs. Cathay Financial Holding |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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