SavvyLong Correlations

COMU Etf   24.86  0.13  0.52%   
The current 90-days correlation between SavvyLong 2X CIBC and SavvyLong Geared Crude is -0.03 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SavvyLong moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SavvyLong 2X CIBC moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

SavvyLong Correlation With Market

Poor diversification

The correlation between SavvyLong 2X CIBC and DJI is 0.74 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SavvyLong 2X CIBC and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to SavvyLong could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SavvyLong when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SavvyLong - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SavvyLong 2X CIBC to buy it.

Moving together with SavvyLong Etf

  0.8XIU iShares SPTSX 60PairCorr
  0.79XIC iShares Core SPTSXPairCorr
  0.79ZCN BMO SPTSX CappedPairCorr
  0.89ZEB BMO SPTSX EqualPairCorr

Moving against SavvyLong Etf

  0.87TCLB TD Canadian LongPairCorr
  0.77ZAG BMO Aggregate BondPairCorr
  0.76XBB iShares Canadian UniversePairCorr

Related Correlations Analysis


Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

UBERMSFT
XOMMRK
MRKF
XOMF
JPMF
MSFTMETA
  

High negative correlations

MRKMSFT
MRKUBER
XOMMSFT
XOMT
TF
FMSFT

SavvyLong Competition Risk-Adjusted Indicators

There is a big difference between SavvyLong Etf performing well and SavvyLong ETF 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 SavvyLong'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.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
META  1.42 (0.21) 0.00 (0.14) 0.00 
 3.16 
 13.02 
MSFT  1.04 (0.18) 0.00 (0.50) 0.00 
 1.78 
 4.90 
UBER  1.45 (0.24) 0.00 (0.24) 0.00 
 2.60 
 10.23 
F  1.50  0.11  0.10  0.14  1.32 
 3.69 
 16.30 
T  0.87 (0.16) 0.00 (0.39) 0.00 
 1.53 
 4.30 
A  1.21 (0.17) 0.00 (0.06) 0.00 
 2.90 
 7.85 
CRM  1.51 (0.23) 0.00 (0.13) 0.00 
 3.22 
 12.37 
JPM  1.13 (0.11) 0.00 (0.01) 0.00 
 2.00 
 7.38 
MRK  1.24  0.31  0.21  0.48  1.09 
 3.59 
 8.09 
XOM  1.07  0.28  0.18  4.20  0.95 
 2.38 
 5.82 

SavvyLong Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SavvyLong etf to make a market-neutral strategy. Peer analysis of SavvyLong could also be used in its relative valuation, which is a method of valuing SavvyLong by comparing valuation metrics with similar companies.
 Risk & Return  Correlation