Correlation Between Taiwan Styrene and Hsin Kuang
Can any of the company-specific risk be diversified away by investing in both Taiwan Styrene and Hsin Kuang 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 Taiwan Styrene and Hsin Kuang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taiwan Styrene Monomer and Hsin Kuang Steel, you can compare the effects of market volatilities on Taiwan Styrene and Hsin Kuang 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 Taiwan Styrene with a short position of Hsin Kuang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taiwan Styrene and Hsin Kuang.
Diversification Opportunities for Taiwan Styrene and Hsin Kuang
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Taiwan and Hsin is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Styrene Monomer and Hsin Kuang Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hsin Kuang Steel and Taiwan Styrene 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 Taiwan Styrene Monomer are associated (or correlated) with Hsin Kuang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hsin Kuang Steel has no effect on the direction of Taiwan Styrene i.e., Taiwan Styrene and Hsin Kuang go up and down completely randomly.
Pair Corralation between Taiwan Styrene and Hsin Kuang
Assuming the 90 days trading horizon Taiwan Styrene Monomer is expected to under-perform the Hsin Kuang. But the stock apears to be less risky and, when comparing its historical volatility, Taiwan Styrene Monomer is 1.47 times less risky than Hsin Kuang. The stock trades about -0.13 of its potential returns per unit of risk. The Hsin Kuang Steel is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 5,860 in Hsin Kuang Steel on October 7, 2024 and sell it today you would lose (1,320) from holding Hsin Kuang Steel or give up 22.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Taiwan Styrene Monomer vs. Hsin Kuang Steel
Performance |
Timeline |
Taiwan Styrene Monomer |
Hsin Kuang Steel |
Taiwan Styrene and Hsin Kuang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Taiwan Styrene and Hsin Kuang
The main advantage of trading using opposite Taiwan Styrene and Hsin Kuang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Styrene position performs unexpectedly, Hsin Kuang 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 Hsin Kuang will offset losses from the drop in Hsin Kuang's long position.Taiwan Styrene vs. Grand Pacific Petrochemical | Taiwan Styrene vs. USI Corp | Taiwan Styrene vs. Asia Polymer Corp | Taiwan Styrene vs. China Petrochemical Development |
Hsin Kuang vs. Chung Hung Steel | Hsin Kuang vs. Tung Ho Steel | Hsin Kuang vs. Ta Chen Stainless | Hsin Kuang vs. Feng Hsin Steel |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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