Correlation Between CU Tech and PNC Technologies
Can any of the company-specific risk be diversified away by investing in both CU Tech and PNC Technologies 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 CU Tech and PNC Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CU Tech Corp and PNC Technologies co, you can compare the effects of market volatilities on CU Tech and PNC Technologies 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 CU Tech with a short position of PNC Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of CU Tech and PNC Technologies.
Diversification Opportunities for CU Tech and PNC Technologies
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 376290 and PNC is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding CU Tech Corp and PNC Technologies co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PNC Technologies and CU Tech 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 CU Tech Corp are associated (or correlated) with PNC Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PNC Technologies has no effect on the direction of CU Tech i.e., CU Tech and PNC Technologies go up and down completely randomly.
Pair Corralation between CU Tech and PNC Technologies
Assuming the 90 days trading horizon CU Tech Corp is expected to generate 0.86 times more return on investment than PNC Technologies. However, CU Tech Corp is 1.17 times less risky than PNC Technologies. It trades about 0.16 of its potential returns per unit of risk. PNC Technologies co is currently generating about -0.13 per unit of risk. If you would invest 286,500 in CU Tech Corp on December 28, 2024 and sell it today you would earn a total of 34,000 from holding CU Tech Corp or generate 11.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CU Tech Corp vs. PNC Technologies co
Performance |
Timeline |
CU Tech Corp |
PNC Technologies |
CU Tech and PNC Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CU Tech and PNC Technologies
The main advantage of trading using opposite CU Tech and PNC Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CU Tech position performs unexpectedly, PNC Technologies 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 PNC Technologies will offset losses from the drop in PNC Technologies' long position.CU Tech vs. Industrial Bank | CU Tech vs. Dongbu Insurance Co | CU Tech vs. Seoul Semiconductor Co | CU Tech vs. Jinro Distillers Co |
PNC Technologies vs. LS Materials | PNC Technologies vs. Dongbang Transport Logistics | PNC Technologies vs. EV Advanced Material | PNC Technologies vs. Lotte Energy Materials |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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