CSIF I Correlations

0P0000A2DS   673.05  4.03  0.60%   
The correlation of CSIF I 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.
  
The ability to find closely correlated positions to CSIF I could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CSIF I 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 CSIF I - 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 CSIF I Bond to buy it.

Related Correlations Analysis

Click cells to compare fundamentals   Check Volatility   Backtest Portfolio

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   
RBK12WEL86B
0P0000A2DSWEL86B
NZD226WEL86B
NZD247WEL86B
LGT13WEL86B
RBK083WEL86B
  
High negative correlations   
KIW13RBK072
KIW13RBK083
RBK072RBK083
KIW13LGT13
RBK072LGT13
RBK083LGT13

Risk-Adjusted Indicators

There is a big difference between CSIF Fund performing well and CSIF I 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 CSIF I'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
WEL86B  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
RBK12  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
0P0000A2DS  0.20  0.00 (0.07) 0.00  0.20 
 0.50 
 1.35 
NZD226  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
NZD247  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
LGT13  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
RBK083  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
RBK072  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
KIW13  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 

CSIF I 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 CSIF I fund to make a market-neutral strategy. Peer analysis of CSIF I could also be used in its relative valuation, which is a method of valuing CSIF I by comparing valuation metrics with similar companies.
 Risk & Return  Correlation