Correlation Between Japan Tobacco and Insteel Industries
Can any of the company-specific risk be diversified away by investing in both Japan Tobacco and Insteel Industries 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 Insteel Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Japan Tobacco and Insteel Industries, you can compare the effects of market volatilities on Japan Tobacco and Insteel Industries 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 Insteel Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Japan Tobacco and Insteel Industries.
Diversification Opportunities for Japan Tobacco and Insteel Industries
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Japan and Insteel is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Japan Tobacco and Insteel Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insteel Industries 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 are associated (or correlated) with Insteel Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insteel Industries has no effect on the direction of Japan Tobacco i.e., Japan Tobacco and Insteel Industries go up and down completely randomly.
Pair Corralation between Japan Tobacco and Insteel Industries
Assuming the 90 days horizon Japan Tobacco is expected to generate 3.72 times less return on investment than Insteel Industries. But when comparing it to its historical volatility, Japan Tobacco is 1.59 times less risky than Insteel Industries. It trades about 0.05 of its potential returns per unit of risk. Insteel Industries is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,620 in Insteel Industries on August 25, 2024 and sell it today you would earn a total of 140.00 from holding Insteel Industries or generate 5.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Japan Tobacco vs. Insteel Industries
Performance |
Timeline |
Japan Tobacco |
Insteel Industries |
Japan Tobacco and Insteel Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Japan Tobacco and Insteel Industries
The main advantage of trading using opposite Japan Tobacco and Insteel Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Japan Tobacco position performs unexpectedly, Insteel Industries 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 Insteel Industries will offset losses from the drop in Insteel Industries' long position.Japan Tobacco vs. Philip Morris International | Japan Tobacco vs. British American Tobacco | Japan Tobacco vs. British American Tobacco | 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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