Correlation Between PNC Technologies and KakaoBank Corp
Can any of the company-specific risk be diversified away by investing in both PNC Technologies and KakaoBank Corp 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 PNC Technologies and KakaoBank Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PNC Technologies co and KakaoBank Corp, you can compare the effects of market volatilities on PNC Technologies and KakaoBank Corp 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 PNC Technologies with a short position of KakaoBank Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of PNC Technologies and KakaoBank Corp.
Diversification Opportunities for PNC Technologies and KakaoBank Corp
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between PNC and KakaoBank is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding PNC Technologies co and KakaoBank Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KakaoBank Corp and PNC Technologies 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 PNC Technologies co are associated (or correlated) with KakaoBank Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KakaoBank Corp has no effect on the direction of PNC Technologies i.e., PNC Technologies and KakaoBank Corp go up and down completely randomly.
Pair Corralation between PNC Technologies and KakaoBank Corp
Assuming the 90 days trading horizon PNC Technologies co is expected to under-perform the KakaoBank Corp. But the stock apears to be less risky and, when comparing its historical volatility, PNC Technologies co is 1.0 times less risky than KakaoBank Corp. The stock trades about -0.09 of its potential returns per unit of risk. The KakaoBank Corp is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2,160,000 in KakaoBank Corp on September 25, 2024 and sell it today you would earn a total of 90,000 from holding KakaoBank Corp or generate 4.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PNC Technologies co vs. KakaoBank Corp
Performance |
Timeline |
PNC Technologies |
KakaoBank Corp |
PNC Technologies and KakaoBank Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PNC Technologies and KakaoBank Corp
The main advantage of trading using opposite PNC Technologies and KakaoBank Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PNC Technologies position performs unexpectedly, KakaoBank Corp 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 KakaoBank Corp will offset losses from the drop in KakaoBank Corp's long position.PNC Technologies vs. Pungguk Ethanol Industrial | PNC Technologies vs. Daejung Chemicals Metals | PNC Technologies vs. Seoyon Topmetal Co | PNC Technologies vs. CKH Food Health |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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