Breakwave Dry Bulk Etf Market Value
BDRY Etf | USD 6.65 0.15 2.21% |
Symbol | Breakwave |
The market value of Breakwave Dry Bulk is measured differently than its book value, which is the value of Breakwave that is recorded on the company's balance sheet. Investors also form their own opinion of Breakwave Dry's value that differs from its market value or its book value, called intrinsic value, which is Breakwave Dry'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 Breakwave Dry's market value can be influenced by many factors that don't directly affect Breakwave Dry'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 Breakwave Dry's value and its price as these two are different measures arrived at by different means. Investors typically determine if Breakwave Dry is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Breakwave Dry'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.
Breakwave Dry '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 Breakwave Dry'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 Breakwave Dry.
12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Breakwave Dry on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Breakwave Dry Bulk or generate 0.0% return on investment in Breakwave Dry over 720 days. Breakwave Dry is related to or competes with SonicShares Global, KraneShares Global, IPath Series, Danaos, and VanEck Rare. The fund seeks to achieve its investment objective by investing substantially all of its assets in the Freight Futures c... More
Breakwave Dry 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 Breakwave Dry'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 Breakwave Dry Bulk upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.28) | |||
Maximum Drawdown | 12.75 | |||
Value At Risk | (5.49) | |||
Potential Upside | 3.95 |
Breakwave Dry Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Breakwave Dry's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Breakwave Dry's standard deviation. In reality, there are many statistical measures that can use Breakwave Dry historical prices to predict the future Breakwave Dry's volatility.Risk Adjusted Performance | (0.17) | |||
Jensen Alpha | (0.68) | |||
Total Risk Alpha | (1.17) | |||
Treynor Ratio | 16.83 |
Breakwave Dry Bulk Backtested Returns
Breakwave Dry Bulk secures Sharpe Ratio (or Efficiency) of -0.24, which signifies that the etf had a -0.24% return per unit of standard deviation over the last 3 months. Breakwave Dry Bulk exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Breakwave Dry's risk adjusted performance of (0.17), and Mean Deviation of 2.31 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.0408, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Breakwave Dry are expected to decrease at a much lower rate. During the bear market, Breakwave Dry is likely to outperform the market.
Auto-correlation | 0.40 |
Average predictability
Breakwave Dry Bulk has average predictability. Overlapping area represents the amount of predictability between Breakwave Dry time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 Breakwave Dry Bulk price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Breakwave Dry price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.4 | |
Spearman Rank Test | 0.31 | |
Residual Average | 0.0 | |
Price Variance | 4.57 |
Breakwave Dry Bulk lagged returns against current returns
Autocorrelation, which is Breakwave Dry 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 Breakwave Dry's etf expected returns. We can calculate the autocorrelation of Breakwave Dry returns to help us make a trade decision. For example, suppose you find that Breakwave Dry 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 |
Breakwave Dry 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 Breakwave Dry etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Breakwave Dry etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Breakwave Dry etf over time.
Current vs Lagged Prices |
Timeline |
Breakwave Dry Lagged Returns
When evaluating Breakwave Dry's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Breakwave Dry etf have on its future price. Breakwave Dry 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, Breakwave Dry autocorrelation shows the relationship between Breakwave Dry etf current value and its past values and can show if there is a momentum factor associated with investing in Breakwave Dry Bulk.
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 Breakwave Dry Bulk offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Breakwave Dry'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 Breakwave Dry Bulk Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Breakwave Dry Bulk Etf:Check out Breakwave Dry Correlation, Breakwave Dry Volatility and Breakwave Dry Alpha and Beta module to complement your research on Breakwave Dry. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Breakwave Dry 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.