Ubs Etracs Etf Market Value

WTID Etf  USD 13.33  0.08  0.60%   
UBS ETRACS's market value is the price at which a share of UBS ETRACS trades on a public exchange. It measures the collective expectations of UBS ETRACS investors about its performance. UBS ETRACS is trading at 13.33 as of the 24th of April 2024, a -0.6 percent decrease since the beginning of the trading day. The etf's lowest day price was 13.33.
With this module, you can estimate the performance of a buy and hold strategy of UBS ETRACS and determine expected loss or profit from investing in UBS ETRACS over a given investment horizon. Check out UBS ETRACS Correlation, UBS ETRACS Volatility and UBS ETRACS Alpha and Beta module to complement your research on UBS ETRACS.
Symbol

The market value of UBS ETRACS is measured differently than its book value, which is the value of UBS that is recorded on the company's balance sheet. Investors also form their own opinion of UBS ETRACS's value that differs from its market value or its book value, called intrinsic value, which is UBS ETRACS'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 UBS ETRACS's market value can be influenced by many factors that don't directly affect UBS ETRACS'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 UBS ETRACS's value and its price as these two are different measures arrived at by different means. Investors typically determine if UBS ETRACS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UBS ETRACS'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.

UBS ETRACS '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 UBS ETRACS'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 UBS ETRACS.
0.00
03/25/2024
No Change 0.00  0.0 
In 31 days
04/24/2024
0.00
If you would invest  0.00  in UBS ETRACS on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding UBS ETRACS or generate 0.0% return on investment in UBS ETRACS over 30 days. UBS ETRACS is related to or competes with ProShares Ultra, Direxion Daily, MicroSectors Big, and Direxion Daily. The investment seeks to provide a three times leveraged inverse exposure to changes in the level of the Bloomberg WTI Cr... More

UBS ETRACS 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 UBS ETRACS'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 UBS ETRACS upside and downside potential and time the market with a certain degree of confidence.

UBS ETRACS Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for UBS ETRACS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UBS ETRACS's standard deviation. In reality, there are many statistical measures that can use UBS ETRACS historical prices to predict the future UBS ETRACS's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UBS ETRACS'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.
Hype
Prediction
LowEstimatedHigh
10.7113.4116.11
Details
Intrinsic
Valuation
LowRealHigh
10.4613.1615.86
Details
Naive
Forecast
LowNextHigh
11.6914.3917.09
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.9513.7915.62
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as UBS ETRACS. Your research has to be compared to or analyzed against UBS ETRACS's peers to derive any actionable benefits. When done correctly, UBS ETRACS's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in UBS ETRACS.

UBS ETRACS Backtested Returns

UBS ETRACS owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.29, which indicates the etf had a -0.29% return per unit of standard deviation over the last 3 months. UBS ETRACS exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate UBS ETRACS's Standard Deviation of 2.78, market risk adjusted performance of 0.575, and Risk Adjusted Performance of (0.20) to confirm the risk estimate we provide. The entity has a beta of -1.68, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning UBS ETRACS are expected to decrease by larger amounts. On the other hand, during market turmoil, UBS ETRACS is expected to outperform it.

Auto-correlation

    
  -0.87  

Excellent reverse predictability

UBS ETRACS has excellent reverse predictability. Overlapping area represents the amount of predictability between UBS ETRACS time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 UBS ETRACS price movement. The serial correlation of -0.87 indicates that approximately 87.0% of current UBS ETRACS price fluctuation can be explain by its past prices.
Correlation Coefficient-0.87
Spearman Rank Test-0.65
Residual Average0.0
Price Variance0.34

UBS ETRACS lagged returns against current returns

Autocorrelation, which is UBS ETRACS 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 UBS ETRACS's etf expected returns. We can calculate the autocorrelation of UBS ETRACS returns to help us make a trade decision. For example, suppose you find that UBS ETRACS 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  

UBS ETRACS 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 UBS ETRACS etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UBS ETRACS etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UBS ETRACS etf over time.
   Current vs Lagged Prices   
       Timeline  

UBS ETRACS Lagged Returns

When evaluating UBS ETRACS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UBS ETRACS etf have on its future price. UBS ETRACS 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, UBS ETRACS autocorrelation shows the relationship between UBS ETRACS etf current value and its past values and can show if there is a momentum factor associated with investing in UBS ETRACS .
   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 UBS ETRACS is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if UBS Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ubs Etracs Etf. Highlighted below are key reports to facilitate an investment decision about Ubs Etracs Etf:
Check out UBS ETRACS Correlation, UBS ETRACS Volatility and UBS ETRACS Alpha and Beta module to complement your research on UBS ETRACS.
You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
UBS ETRACS 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.
A focus of UBS ETRACS technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of UBS ETRACS trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...