Correlation Between ITM Semiconductor and LG Energy
Can any of the company-specific risk be diversified away by investing in both ITM Semiconductor and LG Energy 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 LG Energy 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 LG Energy Solution, you can compare the effects of market volatilities on ITM Semiconductor and LG Energy 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 LG Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of ITM Semiconductor and LG Energy.
Diversification Opportunities for ITM Semiconductor and LG Energy
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between ITM and 373220 is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding ITM Semiconductor Co and LG Energy Solution in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Energy Solution 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 LG Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Energy Solution has no effect on the direction of ITM Semiconductor i.e., ITM Semiconductor and LG Energy go up and down completely randomly.
Pair Corralation between ITM Semiconductor and LG Energy
Assuming the 90 days trading horizon ITM Semiconductor Co is expected to under-perform the LG Energy. But the stock apears to be less risky and, when comparing its historical volatility, ITM Semiconductor Co is 1.3 times less risky than LG Energy. The stock trades about -0.38 of its potential returns per unit of risk. The LG Energy Solution is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 39,950,000 in LG Energy Solution on September 13, 2024 and sell it today you would lose (2,150,000) from holding LG Energy Solution or give up 5.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ITM Semiconductor Co vs. LG Energy Solution
Performance |
Timeline |
ITM Semiconductor |
LG Energy Solution |
ITM Semiconductor and LG Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ITM Semiconductor and LG Energy
The main advantage of trading using opposite ITM Semiconductor and LG Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ITM Semiconductor position performs unexpectedly, LG Energy 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 LG Energy will offset losses from the drop in LG Energy's long position.ITM Semiconductor vs. SK Hynix | ITM Semiconductor vs. People Technology | ITM Semiconductor vs. Hana Materials | ITM Semiconductor vs. SIMMTECH Co |
LG Energy vs. Daejung Chemicals Metals | LG Energy vs. Youngsin Metal Industrial | LG Energy vs. Seoul Electronics Telecom | LG Energy vs. ITM Semiconductor 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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