Plug Power Stock Alpha and Beta Analysis
| PLUG Stock | USD 2.24 0.11 5.16% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Plug Power. It also helps investors analyze the systematic and unsystematic risks associated with investing in Plug Power over a specified time horizon. Remember, high Plug Power'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 Plug Power's market risk premium analysis include:
Beta (0.50) | Alpha 0.46 | Risk 6.22 | Sharpe Ratio 0.0939 | Expected Return 0.58 |
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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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Plug Power Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Plug Power market risk premium is the additional return an investor will receive from holding Plug Power 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 Plug Power. 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 Plug Power's performance over market.| α | 0.46 | β | -0.5 |
Plug Power 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 Plug Power's Buy-and-hold return. Our buy-and-hold chart shows how Plug Power performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Plug Power Market Price Analysis
Market price analysis indicators help investors to evaluate how Plug Power stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Plug Power shares will generate the highest return on investment. By understating and applying Plug Power stock market price indicators, traders can identify Plug Power position entry and exit signals to maximize returns.
Plug Power Return and Market Media
The median price of Plug Power for the period between Sun, Sep 1, 2024 and Sat, Nov 30, 2024 is 2.06 with a coefficient of variation of 8.2. The daily time series for the period is distributed with a sample standard deviation of 0.17, arithmetic mean of 2.04, and mean deviation of 0.12. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Duke Energy Considers Making Coal Power Great Again Under Trump | 11/08/2024 |
2 | TVA Enters 10-year Power Purchase Agreement with Argo and Brookfields Smoky Mountain Hydro ... | 11/19/2024 |
3 | Minister Wilkinson Welcomes the Indigenous Councils Kinship and Prosperity Report to Power More Indigenous, Rural and Remote Communities with Clean Energy | 11/21/2024 |
4 | Monolithic Power Systems, Inc. Initiated at Equal Weight by Wells Fargo with 610 Target Amid Nvidia Supply Chain Focus | 11/22/2024 |
5 | Hangzhou Turbine Power Group sheds 4.3 percent this week, as yearly returns fall more in line with earnings growth | 11/26/2024 |
6 | Private companies account for 53 percent of Huaneng Power International, Inc.s ownership, while individual investors account for 27 | 11/27/2024 |
7 | State Power Rixin Technology Co., Ltd.s Stock On An Uptrend Could Fundamentals Be Driving The Momentum | 11/29/2024 |
About Plug Power 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 Plug or other stocks. Alpha measures the amount that position in Plug Power 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.
| 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 7.3 | 4.67 | 5.43 | 7.99 | Days Of Inventory On Hand | 145.84 | 263.07 | 250.77 | 263.31 |
Plug Power Upcoming Company Events
As portrayed in its financial statements, the presentation of Plug Power's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Plug Power's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Plug Power's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Plug Power. Please utilize our Beneish M Score to check the likelihood of Plug Power's management manipulating its earnings.
| 6th of March 2024 Upcoming Quarterly Report | View | |
| 14th of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 6th of March 2024 Next Fiscal Year End | View | |
| 30th of September 2023 Last Quarter Report | View | |
| 31st of December 2022 Last Financial Announcement | View |
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Check out Plug Power Backtesting, Plug Power Valuation, Plug Power Correlation, Plug Power Hype Analysis, Plug Power Volatility, Plug Power History and analyze Plug Power Performance. For more detail on how to invest in Plug Stock please use our How to Invest in Plug Power guide.You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Plug Power 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.