Correlation Between First Insurance and Lian Hwa
Can any of the company-specific risk be diversified away by investing in both First Insurance and Lian Hwa 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 First Insurance and Lian Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Insurance Co and Lian Hwa Foods, you can compare the effects of market volatilities on First Insurance and Lian Hwa 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 First Insurance with a short position of Lian Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Insurance and Lian Hwa.
Diversification Opportunities for First Insurance and Lian Hwa
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Lian is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding First Insurance Co and Lian Hwa Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lian Hwa Foods and First Insurance 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 First Insurance Co are associated (or correlated) with Lian Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lian Hwa Foods has no effect on the direction of First Insurance i.e., First Insurance and Lian Hwa go up and down completely randomly.
Pair Corralation between First Insurance and Lian Hwa
Assuming the 90 days trading horizon First Insurance is expected to generate 13.99 times less return on investment than Lian Hwa. But when comparing it to its historical volatility, First Insurance Co is 2.67 times less risky than Lian Hwa. It trades about 0.05 of its potential returns per unit of risk. Lian Hwa Foods is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 12,750 in Lian Hwa Foods on October 20, 2024 and sell it today you would earn a total of 1,600 from holding Lian Hwa Foods or generate 12.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Insurance Co vs. Lian Hwa Foods
Performance |
Timeline |
First Insurance |
Lian Hwa Foods |
First Insurance and Lian Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Insurance and Lian Hwa
The main advantage of trading using opposite First Insurance and Lian Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Insurance position performs unexpectedly, Lian Hwa 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 Lian Hwa will offset losses from the drop in Lian Hwa's long position.First Insurance vs. EnTie Commercial Bank | First Insurance vs. Union Bank of | First Insurance vs. Bank of Kaohsiung | First Insurance vs. Taiwan Business Bank |
Lian Hwa vs. Lien Hwa Industrial | Lian Hwa vs. Charoen Pokphand Enterprise | Lian Hwa vs. Great Wall Enterprise | Lian Hwa vs. Uni President Enterprises Corp |
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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
Other Complementary Tools
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
FinTech Suite Use AI to screen and filter profitable investment opportunities |