United States Brent Etf Market Value
| BNO Etf | USD 32.16 0.95 2.87% |
| Symbol | United |
The market value of United States Brent is measured differently than its book value, which is the value of United that is recorded on the company's balance sheet. Investors also form their own opinion of United States' value that differs from its market value or its book value, called intrinsic value, which is United States' 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 United States' market value can be influenced by many factors that don't directly affect United States' 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 United States' value and its price as these two are different measures arrived at by different means. Investors typically determine if United States is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, United States' 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.
United States '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 United States' 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 United States.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in United States on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding United States Brent or generate 0.0% return on investment in United States over 30 days. United States is related to or competes with Invesco DB, United States, United States, United States, and ProShares Ultra. The Benchmark Futures Contract is the futures contract on Brent crude oil as traded on the Ice Futures Europe Exchange t... More
United States 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 United States' 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 United States Brent upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.27 | |||
| Information Ratio | 0.1284 | |||
| Maximum Drawdown | 5.05 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 2.0 |
United States Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for United States' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as United States' standard deviation. In reality, there are many statistical measures that can use United States historical prices to predict the future United States' volatility.| Risk Adjusted Performance | 0.1196 | |||
| Jensen Alpha | 0.2064 | |||
| Total Risk Alpha | 0.0989 | |||
| Sortino Ratio | 0.1216 | |||
| Treynor Ratio | 2.01 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of United States' 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.
United States Brent Backtested Returns
United States appears to be very steady, given 3 months investment horizon. United States Brent owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the etf had a 0.17% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for United States Brent, which you can use to evaluate the volatility of the etf. Please review United States' Risk Adjusted Performance of 0.1196, coefficient of variation of 538.71, and Semi Deviation of 1.01 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, United States' returns are expected to increase less than the market. However, during the bear market, the loss of holding United States is expected to be smaller as well.
Auto-correlation | -0.82 |
Excellent reverse predictability
United States Brent has excellent reverse predictability. Overlapping area represents the amount of predictability between United States 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 United States Brent price movement. The serial correlation of -0.82 indicates that around 82.0% of current United States price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
United States Brent lagged returns against current returns
Autocorrelation, which is United States 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 United States' etf expected returns. We can calculate the autocorrelation of United States returns to help us make a trade decision. For example, suppose you find that United States 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 |
United States 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 United States etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if United States etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in United States etf over time.
Current vs Lagged Prices |
| Timeline |
United States Lagged Returns
When evaluating United States' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of United States etf have on its future price. United States 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, United States autocorrelation shows the relationship between United States etf current value and its past values and can show if there is a momentum factor associated with investing in United States Brent.
Regressed Prices |
| Timeline |
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 United States 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, United States' short interest history, or implied volatility extrapolated from United States options trading.
Pair Trading with United States
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if United States position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in United States will appreciate offsetting losses from the drop in the long position's value.Moving together with United Etf
| 0.92 | GLD | SPDR Gold Shares | PairCorr |
| 0.91 | IAU | iShares Gold Trust | PairCorr |
| 0.92 | SLV | iShares Silver Trust | PairCorr |
| 0.92 | GLDM | SPDR Gold MiniShares | PairCorr |
| 0.92 | SGOL | abrdn Physical Gold | PairCorr |
The ability to find closely correlated positions to United States could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace United States when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back United States - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling United States Brent to buy it.
The correlation of United States is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as United States moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if United States Brent moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for United States can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out United States Correlation, United States Volatility and United States Alpha and Beta module to complement your research on United States. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
United States 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.