Ocean Park High Etf Alpha and Beta Analysis
| DUKH Etf | USD 24.85 0.08 0.32% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Ocean Park High. It also helps investors analyze the systematic and unsystematic risks associated with investing in Ocean Park over a specified time horizon. Remember, high Ocean Park'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 Ocean Park's market risk premium analysis include:
Beta 0.14 | Alpha (0.01) | Risk 0.23 | Sharpe Ratio (0.07) | Expected Return (0.02) |
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.
Ocean |
Ocean Park Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Ocean Park market risk premium is the additional return an investor will receive from holding Ocean Park 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 Ocean Park. 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 Ocean Park's performance over market.| α | -0.01 | β | 0.14 |
Ocean Park 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 Ocean Park's Buy-and-hold return. Our buy-and-hold chart shows how Ocean Park performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Ocean Park Market Price Analysis
Market price analysis indicators help investors to evaluate how Ocean Park etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ocean Park shares will generate the highest return on investment. By understating and applying Ocean Park etf market price indicators, traders can identify Ocean Park position entry and exit signals to maximize returns.
Ocean Park Return and Market Media
The median price of Ocean Park for the period between Sun, Dec 15, 2024 and Sat, Mar 15, 2025 is 24.98 with a coefficient of variation of 0.4. The daily time series for the period is distributed with a sample standard deviation of 0.1, arithmetic mean of 24.98, and mean deviation of 0.08. The Etf received a lot of media exposure during the period. Price Growth (%) |
| Timeline |
1 | Should You Invest in the Utilities Select Sector SPDR ETF | 02/11/2025 |
2 | Duke Energy outlines 6.17-6.42 FY 2025 EPS guidance with 7.7 percent annual growth through 2029 | 02/13/2025 |
3 | Duke Energy commits 500,000 to boost local storm preparedness initiatives in North Carolina | 02/27/2025 |
4 | Yelin Lapidot Holdings Management Ltd. Has 340,000 Holdings in Duke Energy Co. | 02/28/2025 |
5 | Duke Energy Corp. stock underperforms Monday when compared to competitors despite daily gains | 03/03/2025 |
6 | Demolition of former Duke Energy HQ in Charlotte to start next month | 03/04/2025 |
7 | Feds drop lawsuit targeting big banks over Zelle fraud | 03/06/2025 |
8 | Recent Report Shows That Sen. Shelley M Capito Sold Up to 75K Worth of Comcast Stock | 03/07/2025 |
9 | E Fund Management Co. Ltd. Buys New Shares in Duke Energy Co. | 03/10/2025 |
10 | Riverbend Wealth Management LLC Makes New Investment in Duke Energy Co. | 03/11/2025 |
11 | Duke Energy Rises As Market Takes a Dip Key Facts | 03/13/2025 |
About Ocean Park 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 Ocean or other etfs. Alpha measures the amount that position in Ocean Park High 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Ocean Park in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Ocean Park's short interest history, or implied volatility extrapolated from Ocean Park options trading.
Build Portfolio with Ocean Park
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out Ocean Park Backtesting, Portfolio Optimization, Ocean Park Correlation, Ocean Park Hype Analysis, Ocean Park Volatility, Ocean Park History and analyze Ocean Park Performance. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Ocean Park technical etf 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, etf market cycles, or different charting patterns.