Correlation Between NORWEGIAN AIR and Telkom Indonesia
Can any of the company-specific risk be diversified away by investing in both NORWEGIAN AIR and Telkom Indonesia 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 NORWEGIAN AIR and Telkom Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NORWEGIAN AIR SHUT and Telkom Indonesia Tbk, you can compare the effects of market volatilities on NORWEGIAN AIR and Telkom Indonesia 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 NORWEGIAN AIR with a short position of Telkom Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of NORWEGIAN AIR and Telkom Indonesia.
Diversification Opportunities for NORWEGIAN AIR and Telkom Indonesia
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between NORWEGIAN and Telkom is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding NORWEGIAN AIR SHUT and Telkom Indonesia Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Telkom Indonesia Tbk and NORWEGIAN AIR 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 NORWEGIAN AIR SHUT are associated (or correlated) with Telkom Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Telkom Indonesia Tbk has no effect on the direction of NORWEGIAN AIR i.e., NORWEGIAN AIR and Telkom Indonesia go up and down completely randomly.
Pair Corralation between NORWEGIAN AIR and Telkom Indonesia
Assuming the 90 days trading horizon NORWEGIAN AIR is expected to generate 2.03 times less return on investment than Telkom Indonesia. But when comparing it to its historical volatility, NORWEGIAN AIR SHUT is 3.46 times less risky than Telkom Indonesia. It trades about 0.15 of its potential returns per unit of risk. Telkom Indonesia Tbk is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 12.00 in Telkom Indonesia Tbk on April 25, 2025 and sell it today you would earn a total of 3.00 from holding Telkom Indonesia Tbk or generate 25.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NORWEGIAN AIR SHUT vs. Telkom Indonesia Tbk
Performance |
Timeline |
NORWEGIAN AIR SHUT |
Telkom Indonesia Tbk |
NORWEGIAN AIR and Telkom Indonesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NORWEGIAN AIR and Telkom Indonesia
The main advantage of trading using opposite NORWEGIAN AIR and Telkom Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NORWEGIAN AIR position performs unexpectedly, Telkom Indonesia 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 Telkom Indonesia will offset losses from the drop in Telkom Indonesia's long position.NORWEGIAN AIR vs. Sunny Optical Technology | NORWEGIAN AIR vs. ORMAT TECHNOLOGIES | NORWEGIAN AIR vs. ACCSYS TECHPLC EO | NORWEGIAN AIR vs. FARO Technologies |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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