Correlation Between Innometry and KT Submarine
Can any of the company-specific risk be diversified away by investing in both Innometry and KT Submarine 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 Innometry and KT Submarine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innometry Co and KT Submarine Telecom, you can compare the effects of market volatilities on Innometry and KT Submarine 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 Innometry with a short position of KT Submarine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innometry and KT Submarine.
Diversification Opportunities for Innometry and KT Submarine
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Innometry and 060370 is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Innometry Co and KT Submarine Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KT Submarine Telecom and Innometry 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 Innometry Co are associated (or correlated) with KT Submarine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KT Submarine Telecom has no effect on the direction of Innometry i.e., Innometry and KT Submarine go up and down completely randomly.
Pair Corralation between Innometry and KT Submarine
Assuming the 90 days trading horizon Innometry Co is expected to under-perform the KT Submarine. But the stock apears to be less risky and, when comparing its historical volatility, Innometry Co is 2.23 times less risky than KT Submarine. The stock trades about -0.25 of its potential returns per unit of risk. The KT Submarine Telecom is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 1,529,000 in KT Submarine Telecom on August 28, 2024 and sell it today you would lose (96,000) from holding KT Submarine Telecom or give up 6.28% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Innometry Co vs. KT Submarine Telecom
Performance |
| Timeline |
| Innometry |
| KT Submarine Telecom |
Innometry and KT Submarine Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Innometry and KT Submarine
The main advantage of trading using opposite Innometry and KT Submarine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innometry position performs unexpectedly, KT Submarine 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 KT Submarine will offset losses from the drop in KT Submarine's long position.| Innometry vs. Daejoo Electronic Materials | Innometry vs. Parksystems Corp | Innometry vs. BH Co | Innometry vs. Partron Co |
| KT Submarine vs. AptaBio Therapeutics | KT Submarine vs. Daewoo SBI SPAC | KT Submarine vs. Dream Security co | KT Submarine vs. Microfriend |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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