Iq Candriam Esg Etf Market Value
| IQSI Etf | USD 29.22 0.15 0.52% |
| Symbol | IQSI |
The market value of IQ Candriam ESG is measured differently than its book value, which is the value of IQSI that is recorded on the company's balance sheet. Investors also form their own opinion of IQ Candriam's value that differs from its market value or its book value, called intrinsic value, which is IQ Candriam'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 IQ Candriam's market value can be influenced by many factors that don't directly affect IQ Candriam'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 IQ Candriam's value and its price as these two are different measures arrived at by different means. Investors typically determine if IQ Candriam is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IQ Candriam'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.
IQ Candriam '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 IQ Candriam'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 IQ Candriam.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in IQ Candriam on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding IQ Candriam ESG or generate 0.0% return on investment in IQ Candriam over 30 days. IQ Candriam is related to or competes with IQ Candriam, IQ 500, and IQ 50. investment approach designed to track the performance of the underlying index More
IQ Candriam 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 IQ Candriam'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 IQ Candriam ESG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 4.04 | |||
| Value At Risk | (1.68) | |||
| Potential Upside | 1.03 |
IQ Candriam Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IQ Candriam's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IQ Candriam's standard deviation. In reality, there are many statistical measures that can use IQ Candriam historical prices to predict the future IQ Candriam's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | 2.41 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IQ Candriam'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.
IQ Candriam ESG Backtested Returns
IQ Candriam ESG retains Efficiency (Sharpe Ratio) of -0.13, which attests that the entity had a -0.13% return per unit of price deviation over the last 3 months. IQ Candriam exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IQ Candriam's Information Ratio of (0.27), coefficient of variation of (853.09), and Market Risk Adjusted Performance of 2.42 to validate the risk estimate we provide. The etf owns a Beta (Systematic Risk) of -0.0445, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IQ Candriam are expected to decrease at a much lower rate. During the bear market, IQ Candriam is likely to outperform the market.
Auto-correlation | -0.52 |
Good reverse predictability
IQ Candriam ESG has good reverse predictability. Overlapping area represents the amount of predictability between IQ Candriam 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 IQ Candriam ESG price movement. The serial correlation of -0.52 indicates that about 52.0% of current IQ Candriam price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
IQ Candriam ESG lagged returns against current returns
Autocorrelation, which is IQ Candriam 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 IQ Candriam's etf expected returns. We can calculate the autocorrelation of IQ Candriam returns to help us make a trade decision. For example, suppose you find that IQ Candriam 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 |
IQ Candriam 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 IQ Candriam etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IQ Candriam etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IQ Candriam etf over time.
Current vs Lagged Prices |
| Timeline |
IQ Candriam Lagged Returns
When evaluating IQ Candriam's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IQ Candriam etf have on its future price. IQ Candriam 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, IQ Candriam autocorrelation shows the relationship between IQ Candriam etf current value and its past values and can show if there is a momentum factor associated with investing in IQ Candriam ESG.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether IQ Candriam ESG 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 IQSI 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 Iq Candriam Esg Etf. Highlighted below are key reports to facilitate an investment decision about Iq Candriam Esg Etf:Check out IQ Candriam Correlation, IQ Candriam Volatility and IQ Candriam Alpha and Beta module to complement your research on IQ Candriam. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
IQ Candriam 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.