Correlation Between Global Fixed and Mid Cap
Can any of the company-specific risk be diversified away by investing in both Global Fixed and Mid Cap 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 Global Fixed and Mid Cap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Fixed Income and Mid Cap Growth, you can compare the effects of market volatilities on Global Fixed and Mid Cap 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 Global Fixed with a short position of Mid Cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Fixed and Mid Cap.
Diversification Opportunities for Global Fixed and Mid Cap
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Global and Mid is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Global Fixed Income and Mid Cap Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mid Cap Growth and Global Fixed 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 Global Fixed Income are associated (or correlated) with Mid Cap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mid Cap Growth has no effect on the direction of Global Fixed i.e., Global Fixed and Mid Cap go up and down completely randomly.
Pair Corralation between Global Fixed and Mid Cap
Assuming the 90 days horizon Global Fixed is expected to generate 5.7 times less return on investment than Mid Cap. But when comparing it to its historical volatility, Global Fixed Income is 9.82 times less risky than Mid Cap. It trades about 0.14 of its potential returns per unit of risk. Mid Cap Growth is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1,136 in Mid Cap Growth on August 26, 2024 and sell it today you would earn a total of 1,148 from holding Mid Cap Growth or generate 101.06% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Global Fixed Income vs. Mid Cap Growth
Performance |
| Timeline |
| Global Fixed Income |
| Mid Cap Growth |
Global Fixed and Mid Cap Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Global Fixed and Mid Cap
The main advantage of trading using opposite Global Fixed and Mid Cap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Fixed position performs unexpectedly, Mid Cap 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 Mid Cap will offset losses from the drop in Mid Cap's long position.| Global Fixed vs. Emerging Markets Equity | Global Fixed vs. Global Fixed Income | Global Fixed vs. Global E Portfolio | Global Fixed vs. Global E Portfolio |
| Mid Cap vs. Emerging Markets Equity | Mid Cap vs. Global Fixed Income | Mid Cap vs. Global Fixed Income | Mid Cap vs. Global Fixed Income |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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