Twitter Related Correlations

TWTR -  USA Stock  

USD 41.77  0.88  2.06%

Generate correlation matrix for Twitter and other related equities to check the degree to which Twitter price movement is correlated to its related entities. Use comma (,) to separate each symbol. If not specified, the peers will be provided automatically based on Macroaxis sector classification standards for Twitter. To filter out specific equities, please toggle its corresponding legend item. Additionally, take a look at World Market Map.
Is Twitter's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Twitter. If investors know Twitter will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Twitter listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Twitter is measured differently than its book value, which is the value of Twitter that is recorded on the company's balance sheet. Investors also form their own opinion of Twitter's value that differs from its market value or its book value, called intrinsic value, which is Twitter's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Twitter's market value can be influenced by many factors that don't directly affect Twitter's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Twitter's value and its price as these two are different measures arrived at by different means. Investors typically determine Twitter value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Twitter'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.

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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   
Insignificant correlation   
High negative correlations   

Twitter Competition Risk-Adjusted Indicators

Nowadays, there is a big difference between Twitter stock performing well and Twitter 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 Twitter'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
OMC
 1.10 (0.04)  0.00 (0.07)  0.00 (0.025)  0.00  2.30 (2.28)  6.08 
NWSA
 1.25  0.00  0.00 (0.04)  0.00 (0.0031)  0.00  2.89 (2.41)  8.79 
SIRI
 1.03  0.03  0.02  0.00  1.50  0.026 (1.07)  3.00 (2.69)  7.87 
NLSN
 1.36 (0.05)  0.00 (0.08)  0.00 (0.0361)  0.00  2.66 (2.69)  11.56 
WMT
 0.74 (0.12)  0.00 (0.33)  0.00 (0.11)  0.00  1.16 (1.57)  4.67 
TRV
 1.02 (0.04)  0.00 (0.07)  0.00 (0.0362)  0.00  2.12 (2.32)  6.42 
DD
 1.37  0.08  0.05  0.03  1.61  0.0404 (1.50)  2.74 (2.47)  12.79