Correlation Between Bloomberg Energy and Park Hotels

Can any of the company-specific risk be diversified away by investing in both Bloomberg Energy and Park Hotels 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 Bloomberg Energy and Park Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Bloomberg Energy And and Park Hotels Resorts, you can compare the effects of market volatilities on Bloomberg Energy and Park Hotels 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 Bloomberg Energy with a short position of Park Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bloomberg Energy and Park Hotels.

Diversification Opportunities for Bloomberg Energy and Park Hotels

-0.48

Correlation Coefficient

Bloomberg Energy  Park Hotels

Very good diversification

The 3 months correlation between Bloomberg and Park is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Bloomberg Energy And and Park Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Park Hotels Resorts and Bloomberg Energy 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 Bloomberg Energy And are associated (or correlated) with Park Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Park Hotels Resorts has no effect on the direction of Bloomberg Energy i.e., Bloomberg Energy and Park Hotels go up and down completely randomly.

Pair Corralation between Bloomberg Energy and Park Hotels

Assuming the 90 days trading horizon Bloomberg Energy is expected to generate 51.85 times less return on investment than Park Hotels. But when comparing it to its historical volatility, Bloomberg Energy And is 1.89 times less risky than Park Hotels. It trades about 0.0 of its potential returns per unit of risk. Park Hotels Resorts is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  1,384  in Park Hotels Resorts on September 15, 2024 and sell it today you would earn a total of  144.00  from holding Park Hotels Resorts or generate 10.4% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Bloomberg Energy And  vs.  Park Hotels Resorts

Pair Trading with Bloomberg Energy and Park Hotels

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

The idea behind Bloomberg Energy And and Park Hotels Resorts 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.