Correlation Between HK Electric and Lithia Motors
Can any of the company-specific risk be diversified away by investing in both HK Electric and Lithia Motors 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 HK Electric and Lithia Motors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HK Electric Investments and Lithia Motors, you can compare the effects of market volatilities on HK Electric and Lithia Motors 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 HK Electric with a short position of Lithia Motors. Check out your portfolio center. Please also check ongoing floating volatility patterns of HK Electric and Lithia Motors.
Diversification Opportunities for HK Electric and Lithia Motors
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between HKT and Lithia is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding HK Electric Investments and Lithia Motors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lithia Motors and HK Electric 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 HK Electric Investments are associated (or correlated) with Lithia Motors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lithia Motors has no effect on the direction of HK Electric i.e., HK Electric and Lithia Motors go up and down completely randomly.
Pair Corralation between HK Electric and Lithia Motors
Assuming the 90 days trading horizon HK Electric Investments is expected to generate 0.29 times more return on investment than Lithia Motors. However, HK Electric Investments is 3.42 times less risky than Lithia Motors. It trades about -0.07 of its potential returns per unit of risk. Lithia Motors is currently generating about -0.1 per unit of risk. If you would invest 65.00 in HK Electric Investments on December 28, 2024 and sell it today you would lose (2.00) from holding HK Electric Investments or give up 3.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
HK Electric Investments vs. Lithia Motors
Performance |
Timeline |
HK Electric Investments |
Lithia Motors |
HK Electric and Lithia Motors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HK Electric and Lithia Motors
The main advantage of trading using opposite HK Electric and Lithia Motors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HK Electric position performs unexpectedly, Lithia Motors 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 Lithia Motors will offset losses from the drop in Lithia Motors' long position.HK Electric vs. SmarTone Telecommunications Holdings | HK Electric vs. INTERSHOP Communications Aktiengesellschaft | HK Electric vs. Spirent Communications plc | HK Electric vs. Ringmetall SE |
Lithia Motors vs. Nomad Foods | Lithia Motors vs. Aluminum of | Lithia Motors vs. Collins Foods Limited | Lithia Motors vs. Lifeway Foods |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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