Ionic Inflation Protection Etf Market Value
CPII Etf | USD 19.67 0.02 0.10% |
Symbol | Ionic |
The market value of Ionic Inflation Prot is measured differently than its book value, which is the value of Ionic that is recorded on the company's balance sheet. Investors also form their own opinion of Ionic Inflation's value that differs from its market value or its book value, called intrinsic value, which is Ionic Inflation'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 Ionic Inflation's market value can be influenced by many factors that don't directly affect Ionic Inflation'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 Ionic Inflation's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ionic Inflation is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ionic Inflation'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.
Ionic Inflation '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 Ionic Inflation'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 Ionic Inflation.
11/26/2024 |
| 12/26/2024 |
If you would invest 0.00 in Ionic Inflation on November 26, 2024 and sell it all today you would earn a total of 0.00 from holding Ionic Inflation Protection or generate 0.0% return on investment in Ionic Inflation over 30 days. Ionic Inflation is related to or competes with IShares TIPS, JPMorgan Inflation, and . The fund is an actively-managed exchange-traded fund that seeks to achieve its investment objective by investing in infl... More
Ionic Inflation 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 Ionic Inflation'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 Ionic Inflation Protection upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.2816 | |||
Information Ratio | 0.0037 | |||
Maximum Drawdown | 1.9 | |||
Value At Risk | (0.46) | |||
Potential Upside | 0.3623 |
Ionic Inflation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ionic Inflation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ionic Inflation's standard deviation. In reality, there are many statistical measures that can use Ionic Inflation historical prices to predict the future Ionic Inflation's volatility.Risk Adjusted Performance | 0.1205 | |||
Jensen Alpha | 0.0327 | |||
Total Risk Alpha | 0.0245 | |||
Sortino Ratio | 0.0034 | |||
Treynor Ratio | 0.415 |
Ionic Inflation Prot Backtested Returns
Ionic Inflation is very steady at the moment. Ionic Inflation Prot holds Efficiency (Sharpe) Ratio of 0.18, which attests that the entity had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Ionic Inflation Prot, which you can use to evaluate the volatility of the entity. Please check out Ionic Inflation's Downside Deviation of 0.2816, risk adjusted performance of 0.1205, and Market Risk Adjusted Performance of 0.425 to validate if the risk estimate we provide is consistent with the expected return of 0.0462%. The etf retains a Market Volatility (i.e., Beta) of 0.086, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Ionic Inflation's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ionic Inflation is expected to be smaller as well.
Auto-correlation | 0.08 |
Virtually no predictability
Ionic Inflation Protection has virtually no predictability. Overlapping area represents the amount of predictability between Ionic Inflation time series from 26th of November 2024 to 11th of December 2024 and 11th of December 2024 to 26th of December 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 Ionic Inflation Prot price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Ionic Inflation price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.08 | |
Spearman Rank Test | -0.1 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Ionic Inflation Prot lagged returns against current returns
Autocorrelation, which is Ionic Inflation 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 Ionic Inflation's etf expected returns. We can calculate the autocorrelation of Ionic Inflation returns to help us make a trade decision. For example, suppose you find that Ionic Inflation 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 |
Ionic Inflation 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 Ionic Inflation etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ionic Inflation etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ionic Inflation etf over time.
Current vs Lagged Prices |
Timeline |
Ionic Inflation Lagged Returns
When evaluating Ionic Inflation's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ionic Inflation etf have on its future price. Ionic Inflation 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, Ionic Inflation autocorrelation shows the relationship between Ionic Inflation etf current value and its past values and can show if there is a momentum factor associated with investing in Ionic Inflation Protection.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether Ionic Inflation Prot offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ionic Inflation'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 Ionic Inflation Protection Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ionic Inflation Protection Etf:Check out Ionic Inflation Correlation, Ionic Inflation Volatility and Ionic Inflation Alpha and Beta module to complement your research on Ionic Inflation. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Ionic Inflation 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.