Correlation Between NetApp and TERADATA
Can any of the company-specific risk be diversified away by investing in both NetApp and TERADATA 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 NetApp and TERADATA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NetApp Inc and TERADATA, you can compare the effects of market volatilities on NetApp and TERADATA 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 NetApp with a short position of TERADATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of NetApp and TERADATA.
Diversification Opportunities for NetApp and TERADATA
Very weak diversification
The 3 months correlation between NetApp and TERADATA is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding NetApp Inc and TERADATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TERADATA and NetApp 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 NetApp Inc are associated (or correlated) with TERADATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TERADATA has no effect on the direction of NetApp i.e., NetApp and TERADATA go up and down completely randomly.
Pair Corralation between NetApp and TERADATA
Assuming the 90 days horizon NetApp Inc is expected to generate 1.12 times more return on investment than TERADATA. However, NetApp is 1.12 times more volatile than TERADATA. It trades about 0.07 of its potential returns per unit of risk. TERADATA is currently generating about 0.01 per unit of risk. If you would invest 5,580 in NetApp Inc on October 4, 2024 and sell it today you would earn a total of 5,452 from holding NetApp Inc or generate 97.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
NetApp Inc vs. TERADATA
Performance |
Timeline |
NetApp Inc |
TERADATA |
NetApp and TERADATA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NetApp and TERADATA
The main advantage of trading using opposite NetApp and TERADATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NetApp position performs unexpectedly, TERADATA 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 TERADATA will offset losses from the drop in TERADATA's long position.NetApp vs. Pure Storage | NetApp vs. Superior Plus Corp | NetApp vs. NMI Holdings | NetApp vs. Origin Agritech |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
CEOs Directory Screen CEOs from public companies around the world | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |