Correlation Between Polkadot and Hivemapper

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Can any of the company-specific risk be diversified away by investing in both Polkadot and Hivemapper 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 Polkadot and Hivemapper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polkadot and Hivemapper, you can compare the effects of market volatilities on Polkadot and Hivemapper 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 Polkadot with a short position of Hivemapper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polkadot and Hivemapper.

Diversification Opportunities for Polkadot and Hivemapper

0.72
  Correlation Coefficient

Poor diversification

The 3 months correlation between Polkadot and Hivemapper is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Polkadot and Hivemapper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hivemapper and Polkadot 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 Polkadot are associated (or correlated) with Hivemapper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hivemapper has no effect on the direction of Polkadot i.e., Polkadot and Hivemapper go up and down completely randomly.

Pair Corralation between Polkadot and Hivemapper

Assuming the 90 days trading horizon Polkadot is expected to generate 1.07 times more return on investment than Hivemapper. However, Polkadot is 1.07 times more volatile than Hivemapper. It trades about -0.27 of its potential returns per unit of risk. Hivemapper is currently generating about -0.41 per unit of risk. If you would invest  676.00  in Polkadot on November 8, 2024 and sell it today you would lose (222.00) from holding Polkadot or give up 32.84% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Polkadot  vs.  Hivemapper

 Performance 
       Timeline  
Polkadot 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Polkadot are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Polkadot exhibited solid returns over the last few months and may actually be approaching a breakup point.
Hivemapper 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Hivemapper has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Hivemapper shareholders.

Polkadot and Hivemapper Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polkadot and Hivemapper

The main advantage of trading using opposite Polkadot and Hivemapper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polkadot position performs unexpectedly, Hivemapper 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 Hivemapper will offset losses from the drop in Hivemapper's long position.
The idea behind Polkadot and Hivemapper 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.

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