Correlation Between Emerging Markets and Regional Bank
Can any of the company-specific risk be diversified away by investing in both Emerging Markets and Regional Bank 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 Emerging Markets and Regional Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emerging Markets Fund and Regional Bank Fund, you can compare the effects of market volatilities on Emerging Markets and Regional Bank 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 Emerging Markets with a short position of Regional Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerging Markets and Regional Bank.
Diversification Opportunities for Emerging Markets and Regional Bank
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Emerging and Regional is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Emerging Markets Fund and Regional Bank Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regional Bank and Emerging Markets 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 Emerging Markets Fund are associated (or correlated) with Regional Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regional Bank has no effect on the direction of Emerging Markets i.e., Emerging Markets and Regional Bank go up and down completely randomly.
Pair Corralation between Emerging Markets and Regional Bank
Assuming the 90 days horizon Emerging Markets is expected to generate 4.02 times less return on investment than Regional Bank. But when comparing it to its historical volatility, Emerging Markets Fund is 1.98 times less risky than Regional Bank. It trades about 0.07 of its potential returns per unit of risk. Regional Bank Fund is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 2,756 in Regional Bank Fund on September 12, 2024 and sell it today you would earn a total of 547.00 from holding Regional Bank Fund or generate 19.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Emerging Markets Fund vs. Regional Bank Fund
Performance |
Timeline |
Emerging Markets |
Regional Bank |
Emerging Markets and Regional Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Emerging Markets and Regional Bank
The main advantage of trading using opposite Emerging Markets and Regional Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerging Markets position performs unexpectedly, Regional Bank 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 Regional Bank will offset losses from the drop in Regional Bank's long position.Emerging Markets vs. Davis Government Bond | Emerging Markets vs. Goldman Sachs Government | Emerging Markets vs. Ridgeworth Seix Government | Emerging Markets vs. Prudential Government Income |
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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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