CatalystTeza Algorithmic Correlations

TEZCX
 Fund
  

USD 7.52  0.00  0.00%   

The correlation of CatalystTeza Algorithmic 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 CatalystTeza Algorithmic moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CatalystTeza Algorithmic Allocation 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.
Additionally, take a look at World Market Map.
  
The ability to find closely correlated positions to CatalystTeza Algorithmic could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CatalystTeza Algorithmic 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 CatalystTeza Algorithmic - 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 CatalystTeza Algorithmic Allocation 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   
FUBER
AMSFT
FMSFT
AF
UBERMSFT
XOMJPM
  
High negative correlations   

CatalystTeza Algorithmic Competition Risk-Adjusted Indicators

Nowadays, there is a big difference between CatalystTeza Algorithmic stock performing well and CatalystTeza Algorithmic Mutual Fund 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 CatalystTeza Algorithmic'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
TWTR 2.27 (0.12)  0.00 (0.06)  0.00 (0.0394)  0.00  4.00 (5.55)  17.65 
MSFT 1.64  0.04  0.03  0.10  2.02  0.0309 (1.74)  2.97 (4.10)  7.83 
UBER 3.49  0.45  0.11  0.34  3.87  0.11 (3.67)  6.40 (7.08)  21.38 
F 2.62  0.20  0.09  0.17  2.90  0.09 (2.81)  5.32 (4.03)  16.84 
T 1.11 (0.11)  0.00 (0.10)  0.00 (0.08)  0.00  2.00 (2.45)  10.60 
A 1.80  0.14  0.08  0.18  1.89  0.07 (2.03)  4.22 (3.15)  8.98 
CRM 2.46  0.11  0.06  0.13  2.83  0.05 (2.70)  5.77 (4.63)  16.84 
JPM 1.45 (0.02) (0.01)  0.05  1.52 (0.0055) (1.78)  3.03 (2.34)  10.79 
MRK 1.00  0.04  0.00  0.17  1.21 (0.0045) (1.05)  2.11 (2.50)  6.96 
XOM 1.94  0.14  0.05  0.23  2.59  0.05 (1.86)  3.33 (3.96)  10.43 

CatalystTeza Algorithmic 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 CatalystTeza Algorithmic mutual fund to make a market-neutral strategy. Peer analysis of CatalystTeza Algorithmic could also be used in its relative valuation, which is a method of valuing CatalystTeza Algorithmic by comparing valuation metrics with similar companies.
Johnson JohnsonAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpKEURIG DR PEPPERGX Nasdaq-100 CoveredFranklin Mutual EuropeanGARDNER DENVER INCUSA Value FactorBetapro Canadian GoldAramark Holdings CorpLong-Term Govt BondLIFE STORAGE INCMaiden Holdings NorthVistra Energy Corp
 Risk & Return  Correlation

Invested in CatalystTeza Algorithmic Allocation?

You need to understand the risk of investing before taking a position in CatalystTeza Algorithmic. The danger of trading CatalystTeza Algorithmic Allocation is mainly related to its market volatility and Mutual Fund 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 CatalystTeza Algorithmic 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 CatalystTeza Algorithmic. The Shape ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile CatalystTeza Algorithmic 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.
Additionally, take a look at World Market Map. Note that the CatalystTeza Algorithmic information on this page should be used as a complementary analysis to other CatalystTeza Algorithmic'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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

Complementary Tools for CatalystTeza Mutual Fund analysis

When running CatalystTeza Algorithmic price analysis, check to measure CatalystTeza Algorithmic'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 CatalystTeza Algorithmic is operating at the current time. Most of CatalystTeza Algorithmic's value examination focuses on studying past and present price action to predict the probability of CatalystTeza Algorithmic's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move CatalystTeza Algorithmic's price. Additionally, you may evaluate how the addition of CatalystTeza Algorithmic to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between CatalystTeza Algorithmic's value and its price as these two are different measures arrived at by different means. Investors typically determine CatalystTeza Algorithmic value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CatalystTeza Algorithmic's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.