Ipath Series B Etf Market Value
| GRN Etf | USD 27.72 0.76 2.67% |
| Symbol | IPath |
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.
| 01/30/2025 |
| 03/01/2025 |
If you would invest 0.00 in IPath Series on January 30, 2025 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 KraneShares Global, KraneShares European, KraneShares California, and Breakwave Dry. The index has the objective of providing exposure to the price of carbon as measured by the return of futures contracts ... 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.
| Downside Deviation | 2.29 | |||
| Information Ratio | 0.0064 | |||
| Maximum Drawdown | 9.51 | |||
| Value At Risk | (3.64) | |||
| Potential Upside | 3.05 |
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.| Risk Adjusted Performance | 0.0064 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | 0.0538 | |||
| Sortino Ratio | 0.0057 | |||
| Treynor Ratio | 0.0747 |
iPath Series B Backtested Returns
As of now, IPath Etf is very steady. iPath Series B holds Efficiency (Sharpe) Ratio of 0.0193, which attests that the entity had a 0.0193 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iPath Series B, which you can use to evaluate the volatility of the entity. Please check out IPath Series' Risk Adjusted Performance of 0.0064, downside deviation of 2.29, and Market Risk Adjusted Performance of 0.0847 to validate if the risk estimate we provide is consistent with the expected return of 0.0408%. The etf retains a Market Volatility (i.e., Beta) of -0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IPath Series are expected to decrease at a much lower rate. During the bear market, IPath Series is likely to outperform the market.
Auto-correlation | 0.33 |
Below average predictability
iPath Series B has below average predictability. Overlapping area represents the amount of predictability between IPath Series time series from 30th of January 2025 to 14th of February 2025 and 14th of February 2025 to 1st of March 2025. 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 0.33 indicates that nearly 33.0% of current IPath Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.94 |
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 |
Pair Trading with IPath Series
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 IPath Series 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 IPath Series will appreciate offsetting losses from the drop in the long position's value.Moving against IPath Etf
| 0.5 | FNGD | MicroSectors FANG Index Downward Rally | PairCorr |
The ability to find closely correlated positions to IPath Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IPath Series 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 IPath Series - 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 iPath Series B to buy it.
The correlation of IPath Series 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 IPath Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iPath Series B 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 IPath Series 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 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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
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.