Correlation Between Feng Hsin and Hsin Kuang
Can any of the company-specific risk be diversified away by investing in both Feng Hsin 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 Feng Hsin and Hsin Kuang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Feng Hsin Steel and Hsin Kuang Steel, you can compare the effects of market volatilities on Feng Hsin 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 Feng Hsin with a short position of Hsin Kuang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Feng Hsin and Hsin Kuang.
Diversification Opportunities for Feng Hsin and Hsin Kuang
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Feng and Hsin is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Feng Hsin Steel 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 Feng Hsin 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 Feng Hsin Steel 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 Feng Hsin i.e., Feng Hsin and Hsin Kuang go up and down completely randomly.
Pair Corralation between Feng Hsin and Hsin Kuang
Assuming the 90 days trading horizon Feng Hsin Steel is expected to generate 0.62 times more return on investment than Hsin Kuang. However, Feng Hsin Steel is 1.62 times less risky than Hsin Kuang. It trades about 0.03 of its potential returns per unit of risk. Hsin Kuang Steel is currently generating about -0.03 per unit of risk. If you would invest 6,830 in Feng Hsin Steel on September 13, 2024 and sell it today you would earn a total of 550.00 from holding Feng Hsin Steel or generate 8.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Feng Hsin Steel vs. Hsin Kuang Steel
Performance |
Timeline |
Feng Hsin Steel |
Hsin Kuang Steel |
Feng Hsin and Hsin Kuang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Feng Hsin and Hsin Kuang
The main advantage of trading using opposite Feng Hsin and Hsin Kuang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Feng Hsin 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.Feng Hsin vs. Tainan Spinning Co | Feng Hsin vs. Lealea Enterprise Co | Feng Hsin vs. China Petrochemical Development | Feng Hsin vs. Ruentex Development Co |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Other Complementary Tools
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites |