Ocean Park Competition
| DUKH Etf | USD 24.53 0.01 0.04% |
Ocean Park vs Capital Group Correlation
Poor diversification
The correlation between Ocean Park High and CGGR is 0.76 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Ocean Park High and CGGR in the same portfolio, assuming nothing else is changed.
Moving together with Ocean Etf
Ocean Park Competition Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Ocean Park and its competitors represents the degree of relationship between the price movements of corresponding etfs. A correlation of about +1.0 implies that the price of Ocean and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of Ocean Park High does not affect the price movement of the other competitor.
High positive correlations
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Ocean Park Competition Risk-Adjusted Indicators
There is a big difference between Ocean Etf performing well and Ocean Park ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Ocean Park's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| META | 1.61 | (0.08) | 0.00 | (0.04) | 0.00 | 3.43 | 11.42 | |||
| MSFT | 1.23 | (0.32) | 0.00 | (1.41) | 0.00 | 1.85 | 13.28 | |||
| UBER | 1.46 | (0.30) | 0.00 | (0.36) | 0.00 | 2.46 | 10.23 | |||
| F | 1.24 | 0.05 | 0.04 | 0.08 | 1.23 | 3.38 | 7.16 | |||
| T | 0.96 | 0.05 | 0.02 | 0.23 | 1.04 | 1.85 | 3.77 | |||
| A | 1.19 | (0.18) | 0.00 | (0.10) | 0.00 | 2.90 | 7.85 | |||
| CRM | 1.54 | (0.30) | 0.00 | (0.25) | 0.00 | 2.94 | 12.37 | |||
| JPM | 1.09 | (0.03) | (0.01) | 0.01 | 1.67 | 1.88 | 7.38 | |||
| MRK | 1.28 | 0.33 | 0.24 | 0.50 | 1.13 | 3.59 | 8.09 | |||
| XOM | 1.08 | 0.31 | 0.23 | 3.83 | 0.95 | 2.38 | 5.82 |
Ocean Park Competitive Analysis
The better you understand Ocean Park competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Ocean Park's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Ocean Park's competition over several years is one of the best ways to analyze its investment potential.| Better Than Average | Worse Than Peers | View Performance Chart |
Ocean Park Competition Performance Charts
Five steps to successful analysis of Ocean Park Competition
Ocean Park's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Ocean Park High in relation to its competition. Ocean Park's competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors of Ocean Park in the market, both direct and indirect, as well as new entrants and disruptive technologies.
- Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
- Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact Ocean Park's competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Ocean Park High, and developing a strategy to address them.
- Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Complement your Ocean Park position
In addition to having Ocean Park in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Robots And Drones Thematic Idea Now
Robots And Drones
Large technology companies that are involved in development and manufacturing of drones, robots, or robotic equipment across mechanical engineering, electrical engineering, mathematics and computer science fields. Drones and robotics are projected to significantly grow in demand in the next 5 years. The Robots And Drones theme has 33 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Robots And Drones Theme or any other thematic opportunities.
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Check out Ocean Park Correlation with its peers. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Investors evaluate Ocean Park High using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Ocean Park's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Ocean Park's market price to deviate significantly from intrinsic value.
It's important to distinguish between Ocean Park's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Ocean Park should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Ocean Park's market price signifies the transaction level at which participants voluntarily complete trades.