Correlation Between Swiss Helvetia and Central Europe
Can any of the company-specific risk be diversified away by investing in both Swiss Helvetia and Central Europe 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 Swiss Helvetia and Central Europe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Swiss Helvetia Closed and Central Europe Russia, you can compare the effects of market volatilities on Swiss Helvetia and Central Europe 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 Swiss Helvetia with a short position of Central Europe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swiss Helvetia and Central Europe.
Diversification Opportunities for Swiss Helvetia and Central Europe
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Swiss and Central is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Swiss Helvetia Closed and Central Europe Russia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Europe Russia and Swiss Helvetia 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 Swiss Helvetia Closed are associated (or correlated) with Central Europe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Europe Russia has no effect on the direction of Swiss Helvetia i.e., Swiss Helvetia and Central Europe go up and down completely randomly.
Pair Corralation between Swiss Helvetia and Central Europe
Considering the 90-day investment horizon Swiss Helvetia is expected to generate 1.49 times less return on investment than Central Europe. But when comparing it to its historical volatility, Swiss Helvetia Closed is 2.55 times less risky than Central Europe. It trades about 0.3 of its potential returns per unit of risk. Central Europe Russia is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,124 in Central Europe Russia on December 27, 2024 and sell it today you would earn a total of 380.00 from holding Central Europe Russia or generate 33.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Swiss Helvetia Closed vs. Central Europe Russia
Performance |
Timeline |
Swiss Helvetia Closed |
Central Europe Russia |
Swiss Helvetia and Central Europe Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Swiss Helvetia and Central Europe
The main advantage of trading using opposite Swiss Helvetia and Central Europe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swiss Helvetia position performs unexpectedly, Central Europe 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 Central Europe will offset losses from the drop in Central Europe's long position.Swiss Helvetia vs. MFS High Yield | Swiss Helvetia vs. MFS High Income | Swiss Helvetia vs. MFS Multimarket Income | Swiss Helvetia vs. MFS Intermediate 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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