Correlation Between Formosa Chemicals and Hai Kwang
Can any of the company-specific risk be diversified away by investing in both Formosa Chemicals and Hai Kwang 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 Formosa Chemicals and Hai Kwang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formosa Chemicals Fibre and Hai Kwang Enterprise, you can compare the effects of market volatilities on Formosa Chemicals and Hai Kwang 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 Formosa Chemicals with a short position of Hai Kwang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Chemicals and Hai Kwang.
Diversification Opportunities for Formosa Chemicals and Hai Kwang
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Formosa and Hai is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Chemicals Fibre and Hai Kwang Enterprise in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hai Kwang Enterprise and Formosa Chemicals 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 Formosa Chemicals Fibre are associated (or correlated) with Hai Kwang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hai Kwang Enterprise has no effect on the direction of Formosa Chemicals i.e., Formosa Chemicals and Hai Kwang go up and down completely randomly.
Pair Corralation between Formosa Chemicals and Hai Kwang
Assuming the 90 days trading horizon Formosa Chemicals Fibre is expected to under-perform the Hai Kwang. But the stock apears to be less risky and, when comparing its historical volatility, Formosa Chemicals Fibre is 1.11 times less risky than Hai Kwang. The stock trades about -0.29 of its potential returns per unit of risk. The Hai Kwang Enterprise is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 1,750 in Hai Kwang Enterprise on September 26, 2024 and sell it today you would lose (180.00) from holding Hai Kwang Enterprise or give up 10.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Formosa Chemicals Fibre vs. Hai Kwang Enterprise
Performance |
Timeline |
Formosa Chemicals Fibre |
Hai Kwang Enterprise |
Formosa Chemicals and Hai Kwang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Chemicals and Hai Kwang
The main advantage of trading using opposite Formosa Chemicals and Hai Kwang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Chemicals position performs unexpectedly, Hai Kwang 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 Hai Kwang will offset losses from the drop in Hai Kwang's long position.Formosa Chemicals vs. China Steel Corp | Formosa Chemicals vs. Formosa Petrochemical Corp | Formosa Chemicals vs. Cathay Financial Holding |
Hai Kwang vs. Formosa Chemicals Fibre | Hai Kwang vs. China Steel Corp | Hai Kwang vs. Formosa Petrochemical Corp | Hai Kwang vs. Cathay Financial Holding |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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