Bionano Genomics Stock Alpha and Beta Analysis
BNGO Stock | USD 5.19 0.56 9.74% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Bionano Genomics. It also helps investors analyze the systematic and unsystematic risks associated with investing in Bionano Genomics over a specified time horizon. Remember, high Bionano Genomics' 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 Bionano Genomics' market risk premium analysis include:
Beta (1.01) | Alpha (1.22) | Risk 9.26 | Sharpe Ratio (0.17) | Expected Return (1.54) |
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.
Bionano |
Bionano Genomics Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Bionano Genomics market risk premium is the additional return an investor will receive from holding Bionano Genomics 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 Bionano Genomics. 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 Bionano Genomics' performance over market.α | -1.22 | β | -1.01 |
Bionano Genomics 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 Bionano Genomics' Buy-and-hold return. Our buy-and-hold chart shows how Bionano Genomics performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Bionano Genomics Market Price Analysis
Market price analysis indicators help investors to evaluate how Bionano Genomics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bionano Genomics shares will generate the highest return on investment. By understating and applying Bionano Genomics stock market price indicators, traders can identify Bionano Genomics position entry and exit signals to maximize returns.
Bionano Genomics Return and Market Media
The median price of Bionano Genomics for the period between Sat, Nov 2, 2024 and Fri, Jan 31, 2025 is 14.29 with a coefficient of variation of 23.74. The daily time series for the period is distributed with a sample standard deviation of 3.33, arithmetic mean of 14.04, and mean deviation of 2.46. The Stock received substential amount of media coverage during this period. Price Growth (%) |
Timeline |
1 | Optical Genome Mapping Market to Witness 26.76 percent CAGR During 2024-2030 - Consumables and Reagents to Register High Growth - Bionano Genomics, Nucleome Inf... | 11/04/2024 |
2 | Bionano Genomics reports Q3 results | 11/13/2024 |
3 | BNGO 50-Day SMA 0.35 - GuruFocus.com | 11/20/2024 |
4 | Bionano Genomics, Inc. Might Not Be As Mispriced As It Looks - Simply Wall St | 12/17/2024 |
5 | Acquisition by Holmlin R. Erik of 1400000 shares of Bionano Genomics at 1.63 subject to Rule 16b-3 | 12/27/2024 |
6 | BioNano Genomics Announces 10 Million Direct Offering - Yahoo Finance | 01/07/2025 |
7 | BioNano Genomics Executes Significant Reverse Stock Split - TipRanks | 01/27/2025 |
About Bionano Genomics 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 Bionano or other stocks. Alpha measures the amount that position in Bionano Genomics 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.
2022 | 2023 | 2024 | 2025 (projected) | Payables Turnover | 1.74 | 2.56 | 2.94 | 3.27 | Days Of Inventory On Hand | 496.99 | 314.71 | 283.24 | 185.98 |
Bionano Genomics Upcoming Company Events
As portrayed in its financial statements, the presentation of Bionano Genomics' financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Bionano Genomics' leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Bionano Genomics' public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Bionano Genomics. Please utilize our Beneish M Score to check the likelihood of Bionano Genomics' management manipulating its earnings.
14th of March 2024 Upcoming Quarterly Report | View | |
14th of May 2024 Next Financial Report | View | |
31st of December 2023 Next Fiscal Quarter End | View | |
14th 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 Bionano Genomics Backtesting, Bionano Genomics Valuation, Bionano Genomics Correlation, Bionano Genomics Hype Analysis, Bionano Genomics Volatility, Bionano Genomics History and analyze Bionano Genomics Performance. To learn how to invest in Bionano Stock, please use our How to Invest in Bionano Genomics guide.You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Bionano Genomics 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.