Compare Cash Ratio Across Equities
You can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible positions. Check out your portfolio center.
Cross Equities Cash Ratio Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MOV | 0.0833 | 2.109 | 2.2846 | 1.886 | 3.0248 | 2.9187 | 3.5892 | 2.1418 | 1.6854 | 1.7006 | 1.753 | 1.8296 | 1.7665 | 2.3176 | 2.43 |
ELA | 0.125 | 0.6159 | 0.6458 | 0.3109 | 0.2454 | 0.1759 | 0.2016 | 0.2289 | 0.3158 | 0.938 | 1.5229 | 1.0349 | 1.9367 | 1.9851 | 2.08 |
TPR | 0.4195 | 3.5459 | 3.5459 | 3.5459 | 3.5459 | 3.5459 | 3.5459 | 0.5644 | 0.5644 | 0.5644 | 0.5644 | 0.5644 | 0.5644 | 3.5885 | 1.3323 |
CPRI | 0.4024 | 0.4024 | 0.4024 | 0.4024 | 0.4024 | 0.4024 | 0.4024 | 0.1717 | 0.1717 | 0.1717 | 0.1717 | 0.1717 | 0.1717 | 0.1174 | 0.1698 |
LANV | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3336 | 0.3984 | 0.3949 | 0.0976 | 0.0927 |
FOSL | 1.2024 | 0.7348 | 0.4683 | 0.4683 | 0.4683 | 0.4683 | 0.7388 | 0.4683 | 0.4683 | 0.4683 | 0.4683 | 0.4683 | 0.4665 | 0.54 | 0.74 |
SIG | 0.2749 | 0.2749 | 0.2749 | 0.2749 | 0.2266 | 0.2266 | 0.2266 | 0.2266 | 0.2266 | 0.2266 | 0.6977 | 0.6977 | 0.6977 | 0.6977 | 0.1447 |
BGI | 0.0148 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0145 | 0.0113 |
CTHR | 2.6535 | 3.6129 | 4.1082 | 0.5718 | 0.9563 | 1.1413 | 1.6117 | 0.8434 | 2.6535 | 2.1574 | 3.7889 | 2.3027 | 1.4793 | 0.8434 | 0.8 |
Movado Group, Envela Corp, and Tapestry Cash Ratio description
Generate Optimal Portfolios
The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Other Complementary Tools
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas |