Us Global Sea Etf Market Value
| SEA Etf | USD 14.97 0.14 0.93% |
| Symbol | SEA |
The market value of US Global Sea is measured differently than its book value, which is the value of SEA that is recorded on the company's balance sheet. Investors also form their own opinion of US Global's value that differs from its market value or its book value, called intrinsic value, which is US Global'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 US Global's market value can be influenced by many factors that don't directly affect US Global'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 US Global's value and its price as these two are different measures arrived at by different means. Investors typically determine if US Global is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, US Global'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.
US Global '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 US Global'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 US Global.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in US Global on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding US Global Sea or generate 0.0% return on investment in US Global over 30 days. US Global is related to or competes with Invesco DWA, Invesco Dynamic, HUMANA, Thrivent High, Via Renewables, T Rowe, and FT Cboe. The index is composed of the exchange-listed common stock of marine shipping, air freight and courier, and port and harb... More
US Global 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 US Global'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 US Global Sea upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 1.42 |
US Global Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for US Global's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as US Global's standard deviation. In reality, there are many statistical measures that can use US Global historical prices to predict the future US Global's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of US Global's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
US Global Sea Backtested Returns
US Global Sea retains Efficiency (Sharpe Ratio) of -0.0735, which indicates the etf had a -0.0735% return per unit of price deviation over the last 3 months. US Global exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate US Global's Mean Deviation of 0.6563, standard deviation of 0.8401, and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.6, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, US Global's returns are expected to increase less than the market. However, during the bear market, the loss of holding US Global is expected to be smaller as well.
Auto-correlation | -0.26 |
Weak reverse predictability
US Global Sea has weak reverse predictability. Overlapping area represents the amount of predictability between US Global time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 US Global Sea price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current US Global price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
US Global Sea lagged returns against current returns
Autocorrelation, which is US Global 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 US Global's etf expected returns. We can calculate the autocorrelation of US Global returns to help us make a trade decision. For example, suppose you find that US Global 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 |
US Global 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 US Global etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if US Global etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in US Global etf over time.
Current vs Lagged Prices |
| Timeline |
US Global Lagged Returns
When evaluating US Global's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of US Global etf have on its future price. US Global 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, US Global autocorrelation shows the relationship between US Global etf current value and its past values and can show if there is a momentum factor associated with investing in US Global Sea.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether US Global Sea offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of US Global'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 Us Global Sea Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Us Global Sea Etf:Check out US Global Correlation, US Global Volatility and US Global Alpha and Beta module to complement your research on US Global. Note that the US Global Sea information on this page should be used as a complementary analysis to other US Global's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
US Global 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.