Oppfi Inc Stock Alpha and Beta Analysis
| OPFI Stock | USD 7.22 0.12 1.69% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as OppFi Inc. It also helps investors analyze the systematic and unsystematic risks associated with investing in OppFi over a specified time horizon. Remember, high OppFi'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 OppFi's market risk premium analysis include:
Beta 1.9 | Alpha 0.6 | Risk 4.51 | Sharpe Ratio 0.17 | Expected Return 0.75 |
OppFi Quarterly Cash And Equivalents |
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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.
OppFi |
OppFi Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. OppFi market risk premium is the additional return an investor will receive from holding OppFi 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 OppFi. 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 OppFi's performance over market.| α | 0.60 | β | 1.90 |
OppFi 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 OppFi's Buy-and-hold return. Our buy-and-hold chart shows how OppFi performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.OppFi Market Price Analysis
Market price analysis indicators help investors to evaluate how OppFi stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading OppFi shares will generate the highest return on investment. By understating and applying OppFi stock market price indicators, traders can identify OppFi position entry and exit signals to maximize returns.
OppFi Return and Market Media
The median price of OppFi for the period between Sat, Aug 24, 2024 and Fri, Nov 22, 2024 is 4.82 with a coefficient of variation of 17.15. The daily time series for the period is distributed with a sample standard deviation of 0.87, arithmetic mean of 5.07, and mean deviation of 0.65. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Disposition of 24879 shares by Todd Schwartz of OppFi subject to Rule 16b-3 | 09/10/2024 |
2 | Disposition of 60000 shares by Todd Schwartz of OppFi subject to Rule 16b-3 | 09/30/2024 |
3 | Disposition of 1042 shares by Pamela Johnson of OppFi subject to Rule 16b-3 | 10/02/2024 |
4 | Disposition of 20447 shares by Todd Schwartz of OppFi subject to Rule 16b-3 | 10/08/2024 |
5 | OppFi Announces Third Quarter 2024 Earnings Conference Call | 10/24/2024 |
6 | Disposition of 100000 shares by Todd Schwartz of OppFi subject to Rule 16b-3 | 10/31/2024 |
7 | Disposition of 357 shares by Christopher McKay of OppFi at 5.12 subject to Rule 16b-3 | 11/01/2024 |
8 | Marqeta Reports Q3 Loss, Tops Revenue Estimates | 11/04/2024 |
9 | OppFi Inc Reports Q3 Revenue of 136.6 Million, Exceeding Estimates EPS at 0. ... | 11/07/2024 |
10 | Q3 2024 OppFi Inc Earnings Call Transcript | 11/08/2024 |
11 | OppFi Inc. Q3 2024 Earnings Call Transcript | 11/11/2024 |
12 | Stocks Of The Day 4-Pillar Power Plays You Cant MissCatch Todays Biggest Movers | 11/13/2024 |
13 | OppFi director Vennettilli sells 644,840 in stock | 11/14/2024 |
14 | Head to Head Review Greenidge Generation OppFi | 11/20/2024 |
About OppFi 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 OppFi or other stocks. Alpha measures the amount that position in OppFi 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 (projected) | Dividend Yield | 1.53 | 0.0459 | Price To Sales Ratio | 0.17 | 0.063 |
OppFi Upcoming Company Events
As portrayed in its financial statements, the presentation of OppFi's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, OppFi's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of OppFi's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of OppFi. Please utilize our Beneish M Score to check the likelihood of OppFi's management manipulating its earnings.
| 28th of March 2024 Upcoming Quarterly Report | View | |
| 9th of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 28th 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 OppFi Backtesting, OppFi Valuation, OppFi Correlation, OppFi Hype Analysis, OppFi Volatility, OppFi History and analyze OppFi Performance. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
OppFi 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.