Correlation Between ITM Semiconductor and Insung Information
Can any of the company-specific risk be diversified away by investing in both ITM Semiconductor and Insung Information 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 ITM Semiconductor and Insung Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ITM Semiconductor Co and Insung Information Co, you can compare the effects of market volatilities on ITM Semiconductor and Insung Information 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 ITM Semiconductor with a short position of Insung Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of ITM Semiconductor and Insung Information.
Diversification Opportunities for ITM Semiconductor and Insung Information
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between ITM and Insung is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding ITM Semiconductor Co and Insung Information Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insung Information and ITM Semiconductor 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 ITM Semiconductor Co are associated (or correlated) with Insung Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insung Information has no effect on the direction of ITM Semiconductor i.e., ITM Semiconductor and Insung Information go up and down completely randomly.
Pair Corralation between ITM Semiconductor and Insung Information
Assuming the 90 days trading horizon ITM Semiconductor Co is expected to under-perform the Insung Information. But the stock apears to be less risky and, when comparing its historical volatility, ITM Semiconductor Co is 1.42 times less risky than Insung Information. The stock trades about -0.13 of its potential returns per unit of risk. The Insung Information Co is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 187,000 in Insung Information Co on September 22, 2024 and sell it today you would lose (4,900) from holding Insung Information Co or give up 2.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
ITM Semiconductor Co vs. Insung Information Co
Performance |
Timeline |
ITM Semiconductor |
Insung Information |
ITM Semiconductor and Insung Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ITM Semiconductor and Insung Information
The main advantage of trading using opposite ITM Semiconductor and Insung Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ITM Semiconductor position performs unexpectedly, Insung Information 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 Insung Information will offset losses from the drop in Insung Information's long position.ITM Semiconductor vs. SK Hynix | ITM Semiconductor vs. LX Semicon Co | ITM Semiconductor vs. Tokai Carbon Korea | ITM Semiconductor vs. People Technology |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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