Correlation Between Avista and Black Hills
Can any of the company-specific risk be diversified away by investing in both Avista and Black Hills 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 Avista and Black Hills into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Avista and Black Hills, you can compare the effects of market volatilities on Avista and Black Hills 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 Avista with a short position of Black Hills. Check out your portfolio center. Please also check ongoing floating volatility patterns of Avista and Black Hills.
Diversification Opportunities for Avista and Black Hills
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Avista and Black is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Avista and Black Hills in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Black Hills and Avista 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 Avista are associated (or correlated) with Black Hills. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Black Hills has no effect on the direction of Avista i.e., Avista and Black Hills go up and down completely randomly.
Pair Corralation between Avista and Black Hills
Considering the 90-day investment horizon Avista is expected to generate 1.14 times more return on investment than Black Hills. However, Avista is 1.14 times more volatile than Black Hills. It trades about 0.04 of its potential returns per unit of risk. Black Hills is currently generating about -0.06 per unit of risk. If you would invest 3,869 in Avista on November 28, 2024 and sell it today you would earn a total of 101.00 from holding Avista or generate 2.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Avista vs. Black Hills
Performance |
Timeline |
Avista |
Black Hills |
Avista and Black Hills Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Avista and Black Hills
The main advantage of trading using opposite Avista and Black Hills positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Avista position performs unexpectedly, Black Hills 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 Black Hills will offset losses from the drop in Black Hills' long position.Avista vs. Allete Inc | Avista vs. Black Hills | Avista vs. Montauk Renewables | Avista vs. Companhia Paranaense de |
Black Hills vs. NorthWestern | Black Hills vs. Avista | Black Hills vs. Otter Tail | Black Hills vs. Companhia Paranaense de |
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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Other Complementary Tools
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |