Nasdaq Test Stock Stock Alpha and Beta Analysis
| ZJZZT Stock | USD 20.00 0.00 0.00% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as NASDAQ TEST STOCK. It also helps investors analyze the systematic and unsystematic risks associated with investing in NASDAQ TEST over a specified time horizon. Remember, high NASDAQ TEST'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. Key technical indicators related to NASDAQ TEST's market risk premium analysis include:
Beta (5.02) | Alpha 7.62 | Risk 49.87 | Sharpe Ratio 0.18 | Expected Return 9.16 |
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.
NASDAQ |
NASDAQ TEST Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. NASDAQ TEST market risk premium is the additional return an investor will receive from holding NASDAQ TEST 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 NASDAQ TEST. 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 NASDAQ TEST's performance over market.| α | 7.62 | β | -5.02 |
NASDAQ TEST Opportunities
NASDAQ TEST Return and Market Media
The Stock received some media coverage during the period. Price Growth (%) |
| Timeline |
1 | NASDAQ Index, SP500, Dow Jones Forecasts NASDAQ Tests Resistance At 18700 Amid Rising Demand For Tech ... - FX Empire | 05/20/2024 |
About NASDAQ TEST 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 NASDAQ or other stocks. Alpha measures the amount that position in NASDAQ TEST STOCK 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 investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards NASDAQ TEST in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, NASDAQ TEST's short interest history, or implied volatility extrapolated from NASDAQ TEST options trading.
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Additional Tools for NASDAQ Stock Analysis
When running NASDAQ TEST's price analysis, check to measure NASDAQ TEST'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 NASDAQ TEST is operating at the current time. Most of NASDAQ TEST's value examination focuses on studying past and present price action to predict the probability of NASDAQ TEST's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NASDAQ TEST's price. Additionally, you may evaluate how the addition of NASDAQ TEST to your portfolios can decrease your overall portfolio volatility.