Correlation Between Japan Tobacco and Old Dominion
Can any of the company-specific risk be diversified away by investing in both Japan Tobacco and Old Dominion 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 Japan Tobacco and Old Dominion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Japan Tobacco ADR and Old Dominion Freight, you can compare the effects of market volatilities on Japan Tobacco and Old Dominion 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 Japan Tobacco with a short position of Old Dominion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Japan Tobacco and Old Dominion.
Diversification Opportunities for Japan Tobacco and Old Dominion
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Japan and Old is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Japan Tobacco ADR and Old Dominion Freight in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Dominion Freight and Japan Tobacco 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 Japan Tobacco ADR are associated (or correlated) with Old Dominion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Dominion Freight has no effect on the direction of Japan Tobacco i.e., Japan Tobacco and Old Dominion go up and down completely randomly.
Pair Corralation between Japan Tobacco and Old Dominion
Assuming the 90 days horizon Japan Tobacco ADR is expected to under-perform the Old Dominion. But the pink sheet apears to be less risky and, when comparing its historical volatility, Japan Tobacco ADR is 2.05 times less risky than Old Dominion. The pink sheet trades about -0.23 of its potential returns per unit of risk. The Old Dominion Freight is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 20,221 in Old Dominion Freight on October 12, 2024 and sell it today you would lose (2,263) from holding Old Dominion Freight or give up 11.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Japan Tobacco ADR vs. Old Dominion Freight
Performance |
Timeline |
Japan Tobacco ADR |
Old Dominion Freight |
Japan Tobacco and Old Dominion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Japan Tobacco and Old Dominion
The main advantage of trading using opposite Japan Tobacco and Old Dominion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Japan Tobacco position performs unexpectedly, Old Dominion 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 Old Dominion will offset losses from the drop in Old Dominion's long position.Japan Tobacco vs. British American Tobacco | Japan Tobacco vs. Imperial Brands PLC | Japan Tobacco vs. RLX Technology | Japan Tobacco vs. British American Tobacco |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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