Correlation Between Stone Ridge and Guggenheim Market
Can any of the company-specific risk be diversified away by investing in both Stone Ridge and Guggenheim Market 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 Stone Ridge and Guggenheim Market into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stone Ridge Diversified and Guggenheim Market Neutral, you can compare the effects of market volatilities on Stone Ridge and Guggenheim Market 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 Stone Ridge with a short position of Guggenheim Market. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stone Ridge and Guggenheim Market.
Diversification Opportunities for Stone Ridge and Guggenheim Market
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Stone and Guggenheim is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding Stone Ridge Diversified and Guggenheim Market Neutral in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Market Neutral and Stone Ridge 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 Stone Ridge Diversified are associated (or correlated) with Guggenheim Market. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Market Neutral has no effect on the direction of Stone Ridge i.e., Stone Ridge and Guggenheim Market go up and down completely randomly.
Pair Corralation between Stone Ridge and Guggenheim Market
Assuming the 90 days horizon Stone Ridge Diversified is expected to generate 0.16 times more return on investment than Guggenheim Market. However, Stone Ridge Diversified is 6.26 times less risky than Guggenheim Market. It trades about 0.13 of its potential returns per unit of risk. Guggenheim Market Neutral is currently generating about -0.11 per unit of risk. If you would invest 1,032 in Stone Ridge Diversified on October 24, 2024 and sell it today you would earn a total of 31.00 from holding Stone Ridge Diversified or generate 3.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Stone Ridge Diversified vs. Guggenheim Market Neutral
Performance |
Timeline |
Stone Ridge Diversified |
Guggenheim Market Neutral |
Stone Ridge and Guggenheim Market Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stone Ridge and Guggenheim Market
The main advantage of trading using opposite Stone Ridge and Guggenheim Market positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stone Ridge position performs unexpectedly, Guggenheim Market 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 Guggenheim Market will offset losses from the drop in Guggenheim Market's long position.Stone Ridge vs. Advent Claymore Convertible | Stone Ridge vs. Columbia Convertible Securities | Stone Ridge vs. Gabelli Convertible And | Stone Ridge vs. Virtus Convertible |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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