Correlation Between I-Components and HuMC
Can any of the company-specific risk be diversified away by investing in both I-Components and HuMC 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 I-Components and HuMC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between i Components Co and HuMC Co, you can compare the effects of market volatilities on I-Components and HuMC 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 I-Components with a short position of HuMC. Check out your portfolio center. Please also check ongoing floating volatility patterns of I-Components and HuMC.
Diversification Opportunities for I-Components and HuMC
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between I-Components and HuMC is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding i Components Co and HuMC Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HuMC and I-Components 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 i Components Co are associated (or correlated) with HuMC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HuMC has no effect on the direction of I-Components i.e., I-Components and HuMC go up and down completely randomly.
Pair Corralation between I-Components and HuMC
Assuming the 90 days trading horizon i Components Co is expected to generate 1.53 times more return on investment than HuMC. However, I-Components is 1.53 times more volatile than HuMC Co. It trades about 0.1 of its potential returns per unit of risk. HuMC Co is currently generating about -0.12 per unit of risk. If you would invest 432,000 in i Components Co on September 14, 2024 and sell it today you would earn a total of 38,500 from holding i Components Co or generate 8.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
i Components Co vs. HuMC Co
Performance |
Timeline |
i Components |
HuMC |
I-Components and HuMC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with I-Components and HuMC
The main advantage of trading using opposite I-Components and HuMC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if I-Components position performs unexpectedly, HuMC 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 HuMC will offset losses from the drop in HuMC's long position.I-Components vs. Samsung Electronics Co | I-Components vs. Samsung Electronics Co | I-Components vs. LG Energy Solution | I-Components vs. SK Hynix |
HuMC vs. Samsung Life Insurance | HuMC vs. Cuckoo Homesys Co | HuMC vs. Polaris Office Corp | HuMC vs. Heungkuk Metaltech CoLtd |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Other Complementary Tools
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |