Ipath Series B Etf Market Value

VXZ Etf  USD 48.02  0.20  0.42%   
IPath Series' market value is the price at which a share of IPath Series trades on a public exchange. It measures the collective expectations of iPath Series B investors about its performance. IPath Series is trading at 48.02 as of the 28th of November 2024; that is 0.42% increase since the beginning of the trading day. The etf's open price was 47.82.
With this module, you can estimate the performance of a buy and hold strategy of iPath Series B and determine expected loss or profit from investing in IPath Series over a given investment horizon. Check out IPath Series Correlation, IPath Series Volatility and IPath Series Alpha and Beta module to complement your research on IPath Series.
Symbol

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

IPath Series '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 IPath Series' 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 IPath Series.
0.00
10/29/2024
No Change 0.00  0.0 
In 31 days
11/28/2024
0.00
If you would invest  0.00  in IPath Series on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding iPath Series B or generate 0.0% return on investment in IPath Series over 30 days. IPath Series is related to or competes with ProShares VIX, ProShares VIX, IPath Series, and ProShares Short. The investment seeks to provide investors with exposure to the SP 500 VIX Mid-Term Futures Index Total Return More

IPath Series 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 IPath Series' 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 iPath Series B upside and downside potential and time the market with a certain degree of confidence.

IPath Series Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for IPath Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IPath Series' standard deviation. In reality, there are many statistical measures that can use IPath Series historical prices to predict the future IPath Series' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IPath Series' 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
46.0548.0249.99
Details
Intrinsic
Valuation
LowRealHigh
43.0445.0152.82
Details
Naive
Forecast
LowNextHigh
45.6247.5849.55
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
47.6748.7949.91
Details

iPath Series B Backtested Returns

iPath Series B holds Efficiency (Sharpe) Ratio of -0.027, which attests that the entity had a -0.027% return per unit of risk over the last 3 months. iPath Series B exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IPath Series' Market Risk Adjusted Performance of 0.0522, risk adjusted performance of (0.02), and Standard Deviation of 1.93 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -1.62, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning IPath Series are expected to decrease by larger amounts. On the other hand, during market turmoil, IPath Series is expected to outperform it.

Auto-correlation

    
  0.73  

Good predictability

iPath Series B has good predictability. Overlapping area represents the amount of predictability between IPath Series time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 iPath Series B price movement. The serial correlation of 0.73 indicates that around 73.0% of current IPath Series price fluctuation can be explain by its past prices.
Correlation Coefficient0.73
Spearman Rank Test0.78
Residual Average0.0
Price Variance0.39

iPath Series B lagged returns against current returns

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

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

IPath Series Lagged Returns

When evaluating IPath Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IPath Series etf have on its future price. IPath Series 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, IPath Series autocorrelation shows the relationship between IPath Series etf current value and its past values and can show if there is a momentum factor associated with investing in iPath Series B.
   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 iPath Series B offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IPath Series' 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 Ipath Series B Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ipath Series B Etf:
Check out IPath Series Correlation, IPath Series Volatility and IPath Series Alpha and Beta module to complement your research on IPath Series.
You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
IPath Series 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 IPath Series technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of IPath Series 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...