AC MOORE Correlations

The correlation of AC MOORE is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AC MOORE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AC MOORE ARTS moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
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The ability to find closely correlated positions to AC MOORE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AC MOORE 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 AC MOORE - 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 AC MOORE ARTS to buy it.

Related Correlations

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Correlation Matchups

The Correlation Coefficient is a useful tool to identify correlated or non-correlated securities, which is essential in developing a diversified portfolio. It tells us the relationship between two positions you have in your portfolio or considering acquiring. Over a given time period, the two securities movetogether 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   
DISCSCO
MSFTDIS
CSCOWMT
MSFTCSCO
DISJPM
MSFTJPM
  
High negative correlations   
WMTXOM
MRKCSCO
DISMRK
CSCOXOM
MRKWMT
MSFTMRK

AC MOORE Competition Risk-Adjusted Indicators

Nowadays, there is a big difference between AC MOORE stock performing well and AC MOORE company doing well compared to the competition. There are way too many exceptions to the normal that investors can tell for sure what's good or bad unless they analyze AC MOORE's multiple risk-adjusted performance indicators. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean
Deviation
Jensen
Alpha
Sortino
Ratio
Treynor
Ratio
Semi
Deviation
Information
Ratio
Expected
Shortfall
Potential
Upside
Value
At Risk
Maximum
Drawdown
HZO 2.49 (0.02)  0.00 (0.21)  0.00 (0.02)  0.00  4.59 (5.05)  16.50 
XOM 1.96  0.31  0.10  0.14  2.96  0.13 (1.71)  3.03 (3.96)  11.86 
VZ 1.07  0.13  0.13  0.06  1.67  0.15 (1.08)  2.30 (2.42)  7.94 
WMT 1.36 (0.15)  0.00 (0.47)  0.00 (0.0313)  0.00  2.43 (2.47)  13.98 
CSCO 1.56 (0.18)  0.00 (0.37)  0.00 (0.08)  0.00  2.73 (3.26)  17.06 
MRK 1.08  0.30  0.34  0.40  0.99  0.28 (1.26)  2.16 (1.65)  7.61 
CVX 1.81  0.03  0.00 (0.16)  0.00  0.0203  0.00  3.06 (4.60)  10.25 
JPM 1.46 (0.10)  0.00 (0.29)  0.00 (0.06)  0.00  2.98 (3.00)  10.78 
DIS 1.70 (0.36)  0.00 (0.51)  0.00 (0.18)  0.00  3.29 (3.78)  8.79 
MSFT 1.92  0.00  0.00 (0.19)  0.00 (0.0357)  0.00  2.97 (4.24)  9.36 

View Currently 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 AC MOORE stock to make a market-neutral strategy. Peer analysis of AC MOORE could also be used in its relative valuation, which is a method of valuing AC MOORE by comparing valuation metrics with similar companies.

Investing AC MOORE ARTS

You need to understand the risk of investing before taking a position in AC MOORE. The danger of trading AC MOORE ARTS is mainly related to its market volatility and company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of AC MOORE is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than AC MOORE. The Shape ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile AC MOORE ARTS is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
Check out Trending Equities. Note that the AC MOORE ARTS information on this page should be used as a complementary analysis to other AC MOORE's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

Other Tools for ACMR1 Stock

When running AC MOORE ARTS price analysis, check to measure AC MOORE's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy AC MOORE is operating at the current time. Most of AC MOORE's value examination focuses on studying past and present price action to predict the probability of AC MOORE's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move AC MOORE's price. Additionally, you may evaluate how the addition of AC MOORE to your portfolios can decrease your overall portfolio volatility.
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