Correlation Between Japan Post and Gold Road
Can any of the company-specific risk be diversified away by investing in both Japan Post and Gold Road 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 Japan Post and Gold Road into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Japan Post Insurance and Gold Road Resources, you can compare the effects of market volatilities on Japan Post and Gold Road 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 Japan Post with a short position of Gold Road. Check out your portfolio center. Please also check ongoing floating volatility patterns of Japan Post and Gold Road.
Diversification Opportunities for Japan Post and Gold Road
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Japan and Gold is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Japan Post Insurance and Gold Road Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gold Road Resources and Japan Post 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 Japan Post Insurance are associated (or correlated) with Gold Road. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gold Road Resources has no effect on the direction of Japan Post i.e., Japan Post and Gold Road go up and down completely randomly.
Pair Corralation between Japan Post and Gold Road
Assuming the 90 days trading horizon Japan Post is expected to generate 1.19 times less return on investment than Gold Road. But when comparing it to its historical volatility, Japan Post Insurance is 1.11 times less risky than Gold Road. It trades about 0.07 of its potential returns per unit of risk. Gold Road Resources is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 96.00 in Gold Road Resources on September 3, 2024 and sell it today you would earn a total of 22.00 from holding Gold Road Resources or generate 22.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Japan Post Insurance vs. Gold Road Resources
Performance |
| Timeline |
| Japan Post Insurance |
| Gold Road Resources |
Japan Post and Gold Road Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Japan Post and Gold Road
The main advantage of trading using opposite Japan Post and Gold Road positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Japan Post position performs unexpectedly, Gold Road 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 Gold Road will offset losses from the drop in Gold Road's long position.| Japan Post vs. Entravision Communications | Japan Post vs. Spirent Communications plc | Japan Post vs. JSC Halyk bank | Japan Post vs. Chiba Bank |
| Gold Road vs. ZIJIN MINH UNSPADR20 | Gold Road vs. Barrick Gold | Gold Road vs. Superior Plus Corp | Gold Road vs. NMI Holdings |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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