Correlation Between Ruentex Development and I Hwa
Can any of the company-specific risk be diversified away by investing in both Ruentex Development and I Hwa 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 Ruentex Development and I Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ruentex Development Co and I Hwa Industrial Co, you can compare the effects of market volatilities on Ruentex Development and I Hwa 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 Ruentex Development with a short position of I Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ruentex Development and I Hwa.
Diversification Opportunities for Ruentex Development and I Hwa
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ruentex and 1456 is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Ruentex Development Co and I Hwa Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on I Hwa Industrial and Ruentex Development 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 Ruentex Development Co are associated (or correlated) with I Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of I Hwa Industrial has no effect on the direction of Ruentex Development i.e., Ruentex Development and I Hwa go up and down completely randomly.
Pair Corralation between Ruentex Development and I Hwa
Assuming the 90 days trading horizon Ruentex Development Co is expected to generate 0.71 times more return on investment than I Hwa. However, Ruentex Development Co is 1.42 times less risky than I Hwa. It trades about 0.06 of its potential returns per unit of risk. I Hwa Industrial Co is currently generating about 0.01 per unit of risk. If you would invest 3,645 in Ruentex Development Co on September 14, 2024 and sell it today you would earn a total of 975.00 from holding Ruentex Development Co or generate 26.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ruentex Development Co vs. I Hwa Industrial Co
Performance |
| Timeline |
| Ruentex Development |
| I Hwa Industrial |
Ruentex Development and I Hwa Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ruentex Development and I Hwa
The main advantage of trading using opposite Ruentex Development and I Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ruentex Development position performs unexpectedly, I Hwa 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 I Hwa will offset losses from the drop in I Hwa's long position.| Ruentex Development vs. Ruentex Industries | Ruentex Development vs. Pou Chen Corp | Ruentex Development vs. Fubon Financial Holding | Ruentex Development vs. Cathay Financial Holding |
| I Hwa vs. Chia Her Industrial | I Hwa vs. Hong Yi Fiber | I Hwa vs. Tung Ho Textile | I Hwa vs. Yi Jinn Industrial |
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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