Correlation Between Vistra Energy and NISOURCE
Specify exactly 2 symbols:
By analyzing existing cross correlation between Vistra Energy Corp and NISOURCE FIN P, you can compare the effects of market volatilities on Vistra Energy and NISOURCE 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 Vistra Energy with a short position of NISOURCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vistra Energy and NISOURCE.
Diversification Opportunities for Vistra Energy and NISOURCE
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Vistra and NISOURCE is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Vistra Energy Corp and NISOURCE FIN P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NISOURCE FIN P and Vistra Energy 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 Vistra Energy Corp are associated (or correlated) with NISOURCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NISOURCE FIN P has no effect on the direction of Vistra Energy i.e., Vistra Energy and NISOURCE go up and down completely randomly.
Pair Corralation between Vistra Energy and NISOURCE
Considering the 90-day investment horizon Vistra Energy Corp is expected to generate 4.37 times more return on investment than NISOURCE. However, Vistra Energy is 4.37 times more volatile than NISOURCE FIN P. It trades about 0.2 of its potential returns per unit of risk. NISOURCE FIN P is currently generating about -0.1 per unit of risk. If you would invest 12,538 in Vistra Energy Corp on October 24, 2024 and sell it today you would earn a total of 6,148 from holding Vistra Energy Corp or generate 49.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 56.67% |
Values | Daily Returns |
Vistra Energy Corp vs. NISOURCE FIN P
Performance |
Timeline |
Vistra Energy Corp |
NISOURCE FIN P |
Vistra Energy and NISOURCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vistra Energy and NISOURCE
The main advantage of trading using opposite Vistra Energy and NISOURCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vistra Energy position performs unexpectedly, NISOURCE 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 NISOURCE will offset losses from the drop in NISOURCE's long position.Vistra Energy vs. Pampa Energia SA | Vistra Energy vs. TransAlta Corp | Vistra Energy vs. Kenon Holdings | Vistra Energy vs. NRG Energy |
NISOURCE vs. Hurco Companies | NISOURCE vs. Fair Isaac | NISOURCE vs. Emerson Electric | NISOURCE vs. Wizz Air Holdings |
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 CEOs Directory module to screen CEOs from public companies around the world.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |