Penn National Gaming Stock Alpha and Beta Analysis
| PENN Stock | USD 21.17 0.65 3.17% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Penn National Gaming. It also helps investors analyze the systematic and unsystematic risks associated with investing in Penn National over a specified time horizon. Remember, high Penn National'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 Penn National's market risk premium analysis include:
Beta 1.13 | Alpha (0.04) | Risk 2.62 | Sharpe Ratio 0.0689 | Expected Return 0.18 |
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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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Penn National Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Penn National market risk premium is the additional return an investor will receive from holding Penn National 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 Penn National. 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 Penn National's performance over market.| α | -0.04 | β | 1.13 |
Penn National 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 Penn National's Buy-and-hold return. Our buy-and-hold chart shows how Penn National performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Penn National Market Price Analysis
Market price analysis indicators help investors to evaluate how Penn National stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Penn National shares will generate the highest return on investment. By understating and applying Penn National stock market price indicators, traders can identify Penn National position entry and exit signals to maximize returns.
Penn National Return and Market Media
The median price of Penn National for the period between Tue, Aug 27, 2024 and Mon, Nov 25, 2024 is 19.16 with a coefficient of variation of 4.73. The daily time series for the period is distributed with a sample standard deviation of 0.91, arithmetic mean of 19.28, and mean deviation of 0.76. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Acquisition by Dhanda Anuj of 15000 shares of Penn National at 18.4 subject to Rule 16b-3 | 09/06/2024 |
2 | Director Anuj Dhanda Acquires 15,000 Shares of PENN Entertainment Inc | 09/09/2024 |
3 | Penn Entertainment sees narrower Q3 loss for online business | 10/08/2024 |
4 | Exploring Analyst Estimates for PENN Entertainment Q3 Earnings, Beyond Revenue and EPS | 11/04/2024 |
5 | What To Expect From PENN Entertainments Q3 Earnings | 11/06/2024 |
6 | PENN Entertainment Reports Q3 Loss, Lags Revenue Estimates | 11/07/2024 |
7 | PENN Entertainment Inc Q3 2024 Earnings Call Highlights Strong Growth in Digital and ... | 11/08/2024 |
8 | PENN Stock Surges 5.06 percent Amidst Volatile Market Performance | 11/12/2024 |
9 | Brokerages Set PENN Entertainment, Inc. PT at 22.89 | 11/14/2024 |
10 | Japan Cup takes center stage in weekend horse racing | 11/22/2024 |
About Penn National 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 Penn or other stocks. Alpha measures the amount that position in Penn National Gaming 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 | 59.06 | 90.56 | 121.2 | 127.26 | Days Of Inventory On Hand | 15.34 | 10.66 | 12.26 | 19.92 |
Penn National Upcoming Company Events
As portrayed in its financial statements, the presentation of Penn National's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Penn National's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Penn National's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Penn National. Please utilize our Beneish M Score to check the likelihood of Penn National's management manipulating its earnings.
| 15th of February 2024 Upcoming Quarterly Report | View | |
| 2nd of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 15th 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 Penn National Backtesting, Penn National Valuation, Penn National Correlation, Penn National Hype Analysis, Penn National Volatility, Penn National History and analyze Penn National Performance. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Penn National 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.