Correlation Between PX Prague and SPASX Dividend

Can any of the company-specific risk be diversified away by investing in both PX Prague and SPASX Dividend 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 PX Prague and SPASX Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between PX Prague Stock and SPASX Dividend Opportunities, you can compare the effects of market volatilities on PX Prague and SPASX Dividend 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 PX Prague with a short position of SPASX Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of PX Prague and SPASX Dividend.

Diversification Opportunities for PX Prague and SPASX Dividend

-0.09

Correlation Coefficient

PX Prague  SPASX Dividend

Good diversification

The 3 months correlation between PX Prague and SPASX is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding PX Prague Stock and SPASX Dividend Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPASX Dividend Oppor and PX Prague 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 PX Prague Stock are associated (or correlated) with SPASX Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPASX Dividend Oppor has no effect on the direction of PX Prague i.e., PX Prague and SPASX Dividend go up and down completely randomly.

Pair Corralation between PX Prague and SPASX Dividend

Assuming the 90 days trading horizon PX Prague Stock is expected to generate 1.44 times more return on investment than SPASX Dividend. However, PX Prague is 1.44 times more volatile than SPASX Dividend Opportunities. It trades about 0.13 of its potential returns per unit of risk. SPASX Dividend Opportunities is currently generating about 0.05 per unit of risk. If you would invest  191,919  in PX Prague Stock on February 10, 2025 and sell it today you would earn a total of  22,680  from holding PX Prague Stock or generate 11.82% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.41%
Values	Daily Returns

PX Prague Stock  vs.  SPASX Dividend Opportunities

Pair Trading with PX Prague and SPASX Dividend

The main advantage of trading using opposite PX Prague and SPASX Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PX Prague position performs unexpectedly, SPASX Dividend 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 SPASX Dividend will offset losses from the drop in SPASX Dividend's long position.

The idea behind PX Prague Stock and SPASX Dividend Opportunities pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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.