Correlation Between SHIN-ETSU CHEMICAL and Nissan Chemical
Can any of the company-specific risk be diversified away by investing in both SHIN-ETSU CHEMICAL and Nissan Chemical 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 SHIN-ETSU CHEMICAL and Nissan Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SHIN ETSU CHEMICAL and Nissan Chemical Corp, you can compare the effects of market volatilities on SHIN-ETSU CHEMICAL and Nissan Chemical 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 SHIN-ETSU CHEMICAL with a short position of Nissan Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of SHIN-ETSU CHEMICAL and Nissan Chemical.
Diversification Opportunities for SHIN-ETSU CHEMICAL and Nissan Chemical
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SHIN-ETSU and Nissan is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding SHIN ETSU CHEMICAL and Nissan Chemical Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nissan Chemical Corp and SHIN-ETSU CHEMICAL 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 SHIN ETSU CHEMICAL are associated (or correlated) with Nissan Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nissan Chemical Corp has no effect on the direction of SHIN-ETSU CHEMICAL i.e., SHIN-ETSU CHEMICAL and Nissan Chemical go up and down completely randomly.
Pair Corralation between SHIN-ETSU CHEMICAL and Nissan Chemical
Assuming the 90 days trading horizon SHIN ETSU CHEMICAL is expected to generate 1.26 times more return on investment than Nissan Chemical. However, SHIN-ETSU CHEMICAL is 1.26 times more volatile than Nissan Chemical Corp. It trades about 0.02 of its potential returns per unit of risk. Nissan Chemical Corp is currently generating about -0.02 per unit of risk. If you would invest 3,140 in SHIN ETSU CHEMICAL on October 21, 2024 and sell it today you would earn a total of 98.00 from holding SHIN ETSU CHEMICAL or generate 3.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SHIN ETSU CHEMICAL vs. Nissan Chemical Corp
Performance |
Timeline |
SHIN ETSU CHEMICAL |
Nissan Chemical Corp |
SHIN-ETSU CHEMICAL and Nissan Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SHIN-ETSU CHEMICAL and Nissan Chemical
The main advantage of trading using opposite SHIN-ETSU CHEMICAL and Nissan Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SHIN-ETSU CHEMICAL position performs unexpectedly, Nissan Chemical 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 Nissan Chemical will offset losses from the drop in Nissan Chemical's long position.SHIN-ETSU CHEMICAL vs. Perseus Mining Limited | SHIN-ETSU CHEMICAL vs. Harmony Gold Mining | SHIN-ETSU CHEMICAL vs. GRIFFIN MINING LTD | SHIN-ETSU CHEMICAL vs. Samsung Electronics Co |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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