Stem Inc Stock Alpha and Beta Analysis
| STEM Stock | USD 0.43 0.05 13.16% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Stem Inc. It also helps investors analyze the systematic and unsystematic risks associated with investing in Stem over a specified time horizon. Remember, high Stem'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 Stem's market risk premium analysis include:
Beta 1.1 | Alpha (0.29) | Risk 9.74 | Sharpe Ratio 0.0232 | Expected Return 0.23 |
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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.
Stem |
Stem Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Stem market risk premium is the additional return an investor will receive from holding Stem 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 Stem. 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 Stem's performance over market.| α | -0.29 | β | 1.10 |
Stem 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 Stem's Buy-and-hold return. Our buy-and-hold chart shows how Stem performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Stem Market Price Analysis
Market price analysis indicators help investors to evaluate how Stem stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Stem shares will generate the highest return on investment. By understating and applying Stem stock market price indicators, traders can identify Stem position entry and exit signals to maximize returns.
Stem Return and Market Media
The median price of Stem for the period between Sat, Aug 31, 2024 and Fri, Nov 29, 2024 is 0.43 with a coefficient of variation of 20.14. The daily time series for the period is distributed with a sample standard deviation of 0.09, arithmetic mean of 0.44, and mean deviation of 0.07. The Stock received a lot of media exposure during the period. Price Growth (%) |
| Timeline |
1 | Toyota aade 250,000 para apoyar la educacin STEM en Plano ISD | 09/25/2024 |
2 | Acquisition by Michael Carlson of 6089 shares of Stem subject to Rule 16b-3 | 09/26/2024 |
3 | Insider Trading | 10/23/2024 |
4 | Q3 2024 Stem Inc Earnings Call Transcript | 10/31/2024 |
5 | Stem, Inc. Updates on Growth Outlook | 11/05/2024 |
6 | Partnering for Impact How Community Organizations Corporations Can Change the Course of STEM Education | 11/08/2024 |
7 | Henkel Marks New Milestone Reaching Over 5,000 Stamford Students through STEM Education Initiative Henkel Researchers World | 11/11/2024 |
8 | Chinas US35.5 billion research fund needs more precision minister | 11/12/2024 |
9 | Acquisition by Spencer Hole of 444444 shares of Stem subject to Rule 16b-3 | 11/14/2024 |
10 | University of Austin Partners With Wolfram Research to Strengthen STEM Education | 11/18/2024 |
11 | Heartland Forward Report Shows STEM Education Can Add 3.9 Billion and 19,000 Jobs to Arkansas Economy | 11/19/2024 |
12 | Right Choice Construction Awarded Ground-up West Houston STEM Academy Project | 11/22/2024 |
13 | Is Stem, Inc. the Best Renewable Energy Penny Stock to Invest In Now | 11/25/2024 |
About Stem 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 Stem or other stocks. Alpha measures the amount that position in Stem Inc 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 | 4.46 | 3.94 | 5.85 | 6.14 | Days Of Inventory On Hand | 65.75 | 9.27 | 21.26 | 20.19 |
Stem Upcoming Company Events
As portrayed in its financial statements, the presentation of Stem's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Stem's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Stem's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Stem. Please utilize our Beneish M Score to check the likelihood of Stem's management manipulating its earnings.
| 28th of February 2024 Upcoming Quarterly Report | View | |
| 2nd of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 28th of February 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 Stem Backtesting, Stem Valuation, Stem Correlation, Stem Hype Analysis, Stem Volatility, Stem History and analyze Stem Performance. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Stem 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.