Correlation Between ChipMOS Technologies and SEALSQ Corp
Can any of the company-specific risk be diversified away by investing in both ChipMOS Technologies and SEALSQ Corp 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 ChipMOS Technologies and SEALSQ Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ChipMOS Technologies and SEALSQ Corp, you can compare the effects of market volatilities on ChipMOS Technologies and SEALSQ Corp 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 ChipMOS Technologies with a short position of SEALSQ Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of ChipMOS Technologies and SEALSQ Corp.
Diversification Opportunities for ChipMOS Technologies and SEALSQ Corp
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between ChipMOS and SEALSQ is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding ChipMOS Technologies and SEALSQ Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEALSQ Corp and ChipMOS Technologies 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 ChipMOS Technologies are associated (or correlated) with SEALSQ Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEALSQ Corp has no effect on the direction of ChipMOS Technologies i.e., ChipMOS Technologies and SEALSQ Corp go up and down completely randomly.
Pair Corralation between ChipMOS Technologies and SEALSQ Corp
Given the investment horizon of 90 days ChipMOS Technologies is expected to under-perform the SEALSQ Corp. But the stock apears to be less risky and, when comparing its historical volatility, ChipMOS Technologies is 4.43 times less risky than SEALSQ Corp. The stock trades about -0.14 of its potential returns per unit of risk. The SEALSQ Corp is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 54.00 in SEALSQ Corp on September 2, 2024 and sell it today you would lose (13.00) from holding SEALSQ Corp or give up 24.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ChipMOS Technologies vs. SEALSQ Corp
Performance |
Timeline |
ChipMOS Technologies |
SEALSQ Corp |
ChipMOS Technologies and SEALSQ Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ChipMOS Technologies and SEALSQ Corp
The main advantage of trading using opposite ChipMOS Technologies and SEALSQ Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ChipMOS Technologies position performs unexpectedly, SEALSQ Corp 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 SEALSQ Corp will offset losses from the drop in SEALSQ Corp's long position.ChipMOS Technologies vs. Nano Labs | ChipMOS Technologies vs. Wisekey International Holding | ChipMOS Technologies vs. Silicon Motion Technology | ChipMOS Technologies vs. United Microelectronics |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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