Correlation Between MGIC INVESTMENT and NISSIN FOODS
Can any of the company-specific risk be diversified away by investing in both MGIC INVESTMENT and NISSIN FOODS 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 MGIC INVESTMENT and NISSIN FOODS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MGIC INVESTMENT and NISSIN FOODS HLDGS, you can compare the effects of market volatilities on MGIC INVESTMENT and NISSIN FOODS 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 MGIC INVESTMENT with a short position of NISSIN FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of MGIC INVESTMENT and NISSIN FOODS.
Diversification Opportunities for MGIC INVESTMENT and NISSIN FOODS
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between MGIC and NISSIN is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding MGIC INVESTMENT and NISSIN FOODS HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NISSIN FOODS HLDGS and MGIC INVESTMENT 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 MGIC INVESTMENT are associated (or correlated) with NISSIN FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NISSIN FOODS HLDGS has no effect on the direction of MGIC INVESTMENT i.e., MGIC INVESTMENT and NISSIN FOODS go up and down completely randomly.
Pair Corralation between MGIC INVESTMENT and NISSIN FOODS
Assuming the 90 days trading horizon MGIC INVESTMENT is expected to generate 0.96 times more return on investment than NISSIN FOODS. However, MGIC INVESTMENT is 1.05 times less risky than NISSIN FOODS. It trades about 0.02 of its potential returns per unit of risk. NISSIN FOODS HLDGS is currently generating about -0.19 per unit of risk. If you would invest 2,268 in MGIC INVESTMENT on December 30, 2024 and sell it today you would earn a total of 32.00 from holding MGIC INVESTMENT or generate 1.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MGIC INVESTMENT vs. NISSIN FOODS HLDGS
Performance |
Timeline |
MGIC INVESTMENT |
NISSIN FOODS HLDGS |
MGIC INVESTMENT and NISSIN FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MGIC INVESTMENT and NISSIN FOODS
The main advantage of trading using opposite MGIC INVESTMENT and NISSIN FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MGIC INVESTMENT position performs unexpectedly, NISSIN FOODS 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 NISSIN FOODS will offset losses from the drop in NISSIN FOODS's long position.MGIC INVESTMENT vs. Check Point Software | MGIC INVESTMENT vs. OPERA SOFTWARE | MGIC INVESTMENT vs. GOLD ROAD RES | MGIC INVESTMENT vs. Axway Software SA |
NISSIN FOODS vs. Spirent Communications plc | NISSIN FOODS vs. Charter Communications | NISSIN FOODS vs. PLAYTECH | NISSIN FOODS vs. Singapore Telecommunications Limited |
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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