Ocean Park International Etf Market Value
| DUKX Etf | 24.73 0.06 0.24% |
| Symbol | Ocean |
The market value of Ocean Park International is measured differently than its book value, which is the value of Ocean that is recorded on the company's balance sheet. Investors also form their own opinion of Ocean Park's value that differs from its market value or its book value, called intrinsic value, which is Ocean Park's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Ocean Park's market value can be influenced by many factors that don't directly affect Ocean Park's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Ocean Park's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ocean Park is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ocean Park's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Ocean Park 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Ocean Park's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Ocean Park.
| 08/23/2024 |
| 11/21/2024 |
If you would invest 0.00 in Ocean Park on August 23, 2024 and sell it all today you would earn a total of 0.00 from holding Ocean Park International or generate 0.0% return on investment in Ocean Park over 90 days. Ocean Park is related to or competes with MicroAlgo, Morningstar Unconstrained, Thrivent High, SPACE, Via Renewables, Aeye, and T Rowe. Ocean Park is entity of United States. It is traded as Etf on NASDAQ exchange. More
Ocean Park Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Ocean Park's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Ocean Park International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 4.4 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 1.83 |
Ocean Park Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ocean Park's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ocean Park's standard deviation. In reality, there are many statistical measures that can use Ocean Park historical prices to predict the future Ocean Park's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.07) |
Ocean Park International Backtested Returns
Ocean Park International maintains Sharpe Ratio (i.e., Efficiency) of -0.053, which implies the entity had a -0.053% return per unit of risk over the last 3 months. Ocean Park International exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Ocean Park's Risk Adjusted Performance of (0.02), coefficient of variation of (3,644), and Variance of 0.8023 to confirm the risk estimate we provide. The etf holds a Beta of 0.47, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Ocean Park's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ocean Park is expected to be smaller as well.
Auto-correlation | -0.61 |
Very good reverse predictability
Ocean Park International has very good reverse predictability. Overlapping area represents the amount of predictability between Ocean Park time series from 23rd of August 2024 to 7th of October 2024 and 7th of October 2024 to 21st of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ocean Park International price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Ocean Park price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Ocean Park International lagged returns against current returns
Autocorrelation, which is Ocean Park etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Ocean Park's etf expected returns. We can calculate the autocorrelation of Ocean Park returns to help us make a trade decision. For example, suppose you find that Ocean Park has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Ocean Park regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Ocean Park etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ocean Park etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ocean Park etf over time.
Current vs Lagged Prices |
| Timeline |
Ocean Park Lagged Returns
When evaluating Ocean Park's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ocean Park etf have on its future price. Ocean Park autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Ocean Park autocorrelation shows the relationship between Ocean Park etf current value and its past values and can show if there is a momentum factor associated with investing in Ocean Park International.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Ocean Park International offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ocean Park's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ocean Park International Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ocean Park International Etf:Check out Ocean Park Correlation, Ocean Park Volatility and Ocean Park Alpha and Beta module to complement your research on Ocean Park. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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.