Correlation Between WIG 30 and Stalprodukt
Specify exactly 2 symbols:
By analyzing existing cross correlation between WIG 30 and Stalprodukt SA, you can compare the effects of market volatilities on WIG 30 and Stalprodukt 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 WIG 30 with a short position of Stalprodukt. Check out your portfolio center. Please also check ongoing floating volatility patterns of WIG 30 and Stalprodukt.
Diversification Opportunities for WIG 30 and Stalprodukt
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between WIG and Stalprodukt is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding WIG 30 and Stalprodukt SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stalprodukt SA and WIG 30 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 WIG 30 are associated (or correlated) with Stalprodukt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stalprodukt SA has no effect on the direction of WIG 30 i.e., WIG 30 and Stalprodukt go up and down completely randomly.
Pair Corralation between WIG 30 and Stalprodukt
Assuming the 90 days trading horizon WIG 30 is expected to generate 0.8 times more return on investment than Stalprodukt. However, WIG 30 is 1.25 times less risky than Stalprodukt. It trades about 0.04 of its potential returns per unit of risk. Stalprodukt SA is currently generating about -0.02 per unit of risk. If you would invest 235,853 in WIG 30 on October 12, 2024 and sell it today you would earn a total of 51,552 from holding WIG 30 or generate 21.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
WIG 30 vs. Stalprodukt SA
Performance |
Timeline |
WIG 30 and Stalprodukt Volatility Contrast
Predicted Return Density |
Returns |
WIG 30
Pair trading matchups for WIG 30
Stalprodukt SA
Pair trading matchups for Stalprodukt
Pair Trading with WIG 30 and Stalprodukt
The main advantage of trading using opposite WIG 30 and Stalprodukt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WIG 30 position performs unexpectedly, Stalprodukt 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 Stalprodukt will offset losses from the drop in Stalprodukt's long position.WIG 30 vs. Movie Games SA | WIG 30 vs. SOFTWARE MANSION SPOLKA | WIG 30 vs. Skyline Investment SA | WIG 30 vs. Centrum Finansowe Banku |
Stalprodukt vs. mBank SA | Stalprodukt vs. Noble Financials SA | Stalprodukt vs. Mlk Foods Public | Stalprodukt vs. Inter Cars SA |
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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Complementary Tools
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |