Neurometrix Stock Alpha and Beta Analysis
| NURO Stock | USD 4.25 0.03 0.71% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as NeuroMetrix. It also helps investors analyze the systematic and unsystematic risks associated with investing in NeuroMetrix over a specified time horizon. Remember, high NeuroMetrix'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 NeuroMetrix's market risk premium analysis include:
Beta (0.18) | Alpha 0.34 | Risk 3.33 | Sharpe Ratio 0.0598 | Expected Return 0.2 |
Enterprise Value |
|
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.
NeuroMetrix |
NeuroMetrix Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. NeuroMetrix market risk premium is the additional return an investor will receive from holding NeuroMetrix 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 NeuroMetrix. 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 NeuroMetrix's performance over market.| α | 0.34 | β | -0.18 |
NeuroMetrix expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of NeuroMetrix's Buy-and-hold return. Our buy-and-hold chart shows how NeuroMetrix performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.NeuroMetrix Market Price Analysis
Market price analysis indicators help investors to evaluate how NeuroMetrix stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading NeuroMetrix shares will generate the highest return on investment. By understating and applying NeuroMetrix stock market price indicators, traders can identify NeuroMetrix position entry and exit signals to maximize returns.
NeuroMetrix Return and Market Media
The median price of NeuroMetrix for the period between Thu, Aug 29, 2024 and Wed, Nov 27, 2024 is 4.0 with a coefficient of variation of 5.92. The daily time series for the period is distributed with a sample standard deviation of 0.24, arithmetic mean of 4.0, and mean deviation of 0.18. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Nuro Pivots From Delivery Bots To Licensing Automated Driving Software | 09/11/2024 |
2 | Disposition of 625 shares by Gozani Shai of NeuroMetrix at 4.18 subject to Rule 16b-3 | 10/01/2024 |
3 | Disposition of 636 shares by Gozani Shai of NeuroMetrix at 4.0 subject to Rule 16b-3 | 11/01/2024 |
4 | NeuroMetrix Reports Q3 2024 Business Highlights | 11/05/2024 |
5 | NeuroMetrix Third Quarter 2024 Earnings US0.75 loss per share | 11/06/2024 |
6 | NeuroMetrix Earns Sell Rating from Analysts at StockNews.com | 11/15/2024 |
7 | Disposition of 498 shares by Thomas Higgins of NeuroMetrix at 3.03 subject to Rule 16b-3 | 11/21/2024 |
About NeuroMetrix 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 NeuroMetrix or other stocks. Alpha measures the amount that position in NeuroMetrix 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.
| 2023 | 2024 (projected) | Dividend Yield | 20.92 | 21.96 | Price To Sales Ratio | 0.64 | 0.6 |
NeuroMetrix Upcoming Company Events
As portrayed in its financial statements, the presentation of NeuroMetrix's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, NeuroMetrix's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of NeuroMetrix's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of NeuroMetrix. Please utilize our Beneish M Score to check the likelihood of NeuroMetrix's management manipulating its earnings.
| 22nd of February 2024 Upcoming Quarterly Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View |
Build Portfolio with NeuroMetrix
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 NeuroMetrix Backtesting, NeuroMetrix Valuation, NeuroMetrix Correlation, NeuroMetrix Hype Analysis, NeuroMetrix Volatility, NeuroMetrix History and analyze NeuroMetrix Performance. To learn how to invest in NeuroMetrix Stock, please use our How to Invest in NeuroMetrix guide.You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
NeuroMetrix technical stock 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, stock market cycles, or different charting patterns.