Correlation Between NYSE Composite and CSX
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and CSX 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 NYSE Composite and CSX into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and CSX Corporation, you can compare the effects of market volatilities on NYSE Composite and CSX 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 NYSE Composite with a short position of CSX. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and CSX.
Diversification Opportunities for NYSE Composite and CSX
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and CSX is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and CSX Corp. in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CSX Corporation and NYSE Composite 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 NYSE Composite are associated (or correlated) with CSX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CSX Corporation has no effect on the direction of NYSE Composite i.e., NYSE Composite and CSX go up and down completely randomly.
Pair Corralation between NYSE Composite and CSX
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.66 times less return on investment than CSX. But when comparing it to its historical volatility, NYSE Composite is 3.45 times less risky than CSX. It trades about 0.21 of its potential returns per unit of risk. CSX Corporation is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 3,326 in CSX Corporation on August 27, 2024 and sell it today you would earn a total of 252.00 from holding CSX Corporation or generate 7.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. CSX Corp.
Performance |
Timeline |
NYSE Composite and CSX Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
CSX Corporation
Pair trading matchups for CSX
Pair Trading with NYSE Composite and CSX
The main advantage of trading using opposite NYSE Composite and CSX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, CSX 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 CSX will offset losses from the drop in CSX's long position.NYSE Composite vs. Hooker Furniture | NYSE Composite vs. Hudson Pacific Properties | NYSE Composite vs. Canlan Ice Sports | NYSE Composite vs. Boston Properties |
CSX vs. Union Pacific | CSX vs. Norfolk Southern | CSX vs. Westinghouse Air Brake | CSX vs. Trinity Industries |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Other Complementary Tools
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |