Correlation Between Carlyle and Moodys
Can any of the company-specific risk be diversified away by investing in both Carlyle and Moodys 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 Carlyle and Moodys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carlyle Group and Moodys, you can compare the effects of market volatilities on Carlyle and Moodys 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 Carlyle with a short position of Moodys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carlyle and Moodys.
Diversification Opportunities for Carlyle and Moodys
Very good diversification
The 3 months correlation between Carlyle and Moodys is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Carlyle Group and Moodys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Moodys and Carlyle 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 Carlyle Group are associated (or correlated) with Moodys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Moodys has no effect on the direction of Carlyle i.e., Carlyle and Moodys go up and down completely randomly.
Pair Corralation between Carlyle and Moodys
Allowing for the 90-day total investment horizon Carlyle Group is expected to generate 2.45 times more return on investment than Moodys. However, Carlyle is 2.45 times more volatile than Moodys. It trades about 0.14 of its potential returns per unit of risk. Moodys is currently generating about 0.3 per unit of risk. If you would invest 5,057 in Carlyle Group on August 28, 2024 and sell it today you would earn a total of 382.00 from holding Carlyle Group or generate 7.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Carlyle Group vs. Moodys
Performance |
Timeline |
Carlyle Group |
Moodys |
Carlyle and Moodys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carlyle and Moodys
The main advantage of trading using opposite Carlyle and Moodys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carlyle position performs unexpectedly, Moodys 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 Moodys will offset losses from the drop in Moodys' long position.Carlyle vs. PowerUp Acquisition Corp | Carlyle vs. Aurora Innovation | Carlyle vs. HUMANA INC | Carlyle vs. Aquagold International |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |