Correlation Between Daehan Synthetic and Orbitech
Can any of the company-specific risk be diversified away by investing in both Daehan Synthetic and Orbitech 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 Daehan Synthetic and Orbitech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daehan Synthetic Fiber and Orbitech Co, you can compare the effects of market volatilities on Daehan Synthetic and Orbitech 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 Daehan Synthetic with a short position of Orbitech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daehan Synthetic and Orbitech.
Diversification Opportunities for Daehan Synthetic and Orbitech
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Daehan and Orbitech is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Daehan Synthetic Fiber and Orbitech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orbitech and Daehan Synthetic 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 Daehan Synthetic Fiber are associated (or correlated) with Orbitech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orbitech has no effect on the direction of Daehan Synthetic i.e., Daehan Synthetic and Orbitech go up and down completely randomly.
Pair Corralation between Daehan Synthetic and Orbitech
Assuming the 90 days trading horizon Daehan Synthetic Fiber is expected to under-perform the Orbitech. But the stock apears to be less risky and, when comparing its historical volatility, Daehan Synthetic Fiber is 4.19 times less risky than Orbitech. The stock trades about -0.05 of its potential returns per unit of risk. The Orbitech Co is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 235,000 in Orbitech Co on August 31, 2024 and sell it today you would earn a total of 7,500 from holding Orbitech Co or generate 3.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Daehan Synthetic Fiber vs. Orbitech Co
Performance |
| Timeline |
| Daehan Synthetic Fiber |
| Orbitech |
Daehan Synthetic and Orbitech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daehan Synthetic and Orbitech
The main advantage of trading using opposite Daehan Synthetic and Orbitech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daehan Synthetic position performs unexpectedly, Orbitech 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 Orbitech will offset losses from the drop in Orbitech's long position.| Daehan Synthetic vs. Orbitech Co | Daehan Synthetic vs. RFTech Co | Daehan Synthetic vs. Sungchang Autotech Co | Daehan Synthetic vs. Amogreentech Co |
| Orbitech vs. Korea New Network | Orbitech vs. ICD Co | Orbitech vs. DYPNF CoLtd | Orbitech vs. Busan Industrial Co |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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