Correlation Between TransAlta Corp and Power Assets
Can any of the company-specific risk be diversified away by investing in both TransAlta Corp and Power Assets 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 TransAlta Corp and Power Assets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TransAlta Corp and Power Assets Holdings, you can compare the effects of market volatilities on TransAlta Corp and Power Assets 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 TransAlta Corp with a short position of Power Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of TransAlta Corp and Power Assets.
Diversification Opportunities for TransAlta Corp and Power Assets
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between TransAlta and Power is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding TransAlta Corp and Power Assets Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Assets Holdings and TransAlta Corp 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 TransAlta Corp are associated (or correlated) with Power Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Assets Holdings has no effect on the direction of TransAlta Corp i.e., TransAlta Corp and Power Assets go up and down completely randomly.
Pair Corralation between TransAlta Corp and Power Assets
Considering the 90-day investment horizon TransAlta Corp is expected to under-perform the Power Assets. In addition to that, TransAlta Corp is 1.72 times more volatile than Power Assets Holdings. It trades about -0.13 of its total potential returns per unit of risk. Power Assets Holdings is currently generating about -0.03 per unit of volatility. If you would invest 666.00 in Power Assets Holdings on December 20, 2024 and sell it today you would lose (36.00) from holding Power Assets Holdings or give up 5.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
TransAlta Corp vs. Power Assets Holdings
Performance |
Timeline |
TransAlta Corp |
Power Assets Holdings |
TransAlta Corp and Power Assets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TransAlta Corp and Power Assets
The main advantage of trading using opposite TransAlta Corp and Power Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TransAlta Corp position performs unexpectedly, Power Assets 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 Power Assets will offset losses from the drop in Power Assets' long position.TransAlta Corp vs. Pampa Energia SA | TransAlta Corp vs. Vistra Energy Corp | TransAlta Corp vs. NRG Energy | TransAlta Corp vs. Power Assets Holdings |
Power Assets vs. TransAlta Corp | Power Assets vs. Pampa Energia SA | Power Assets vs. Vistra Energy Corp | Power Assets vs. NRG Energy |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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