PING Alpha and Beta Analysis
| PING Crypto | USD 0.06 0.0002 0.35% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as PING. It also helps investors analyze the systematic and unsystematic risks associated with investing in PING over a specified time horizon. Remember, high PING's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation.
Beta 0.0754 | Alpha 0.11 | Risk 0.0 | Sharpe Ratio 0.0 | Expected Return 0.0 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
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PING Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. PING market risk premium is the additional return an investor will receive from holding PING long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in PING. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate PING's performance over market.| α | 0.11 | β | 0.08 |
PING Price Momentum Analysis
PING Opportunities
PING Return and Market Media
The Crypto did not receive any noticable media coverage during the period. Price Growth (%) |
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About PING Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including PING or other cryptos. Alpha measures the amount that position in PING has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards PING in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.
Build Portfolio with PING
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
PING technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.