Transportation Portfolio Correlations

FSRFX Fund  USD 111.95  0.62  0.56%   
The current 90-days correlation between Transportation Portfolio and Automotive Portfolio Automotive is 0.72 (i.e., Poor diversification). The correlation of Transportation Portfolio is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

Transportation Portfolio Correlation With Market

Modest diversification

The correlation between Transportation Portfolio Trans and DJI is 0.2 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Transportation Portfolio Trans and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Transportation Portfolio Transportation. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in census.

Moving together with Transportation Mutual Fund

  0.72CP Canadian Pacific RailwayPairCorr
  0.77DE Deere Company Fiscal Year End 27th of November 2024 PairCorr
  0.61TT Trane Technologies plcPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Transportation Mutual Fund performing well and Transportation Portfolio Mutual Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Transportation Portfolio's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.