Wisdomtree India Earnings Etf Market Value
| EPI Etf | USD 47.70 0.12 0.25% |
| Symbol | WisdomTree |
The market value of WisdomTree India Earnings is measured differently than its book value, which is the value of WisdomTree that is recorded on the company's balance sheet. Investors also form their own opinion of WisdomTree India's value that differs from its market value or its book value, called intrinsic value, which is WisdomTree India'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 WisdomTree India's market value can be influenced by many factors that don't directly affect WisdomTree India'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 WisdomTree India's value and its price as these two are different measures arrived at by different means. Investors typically determine if WisdomTree India is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WisdomTree India'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.
WisdomTree India '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 WisdomTree India'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 WisdomTree India.
| 12/22/2023 |
| 12/16/2024 |
If you would invest 0.00 in WisdomTree India on December 22, 2023 and sell it all today you would earn a total of 0.00 from holding WisdomTree India Earnings or generate 0.0% return on investment in WisdomTree India over 360 days. WisdomTree India is related to or competes with IShares India, IShares MSCI, VanEck Vietnam, and IShares MSCI. Under normal circumstances, at least 95 percent of the funds total assets will be invested in component securities of th... More
WisdomTree India 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 WisdomTree India'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 WisdomTree India Earnings upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 3.48 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 1.11 |
WisdomTree India Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WisdomTree India's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WisdomTree India's standard deviation. In reality, there are many statistical measures that can use WisdomTree India historical prices to predict the future WisdomTree India's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | (0.13) |
WisdomTree India Earnings Backtested Returns
WisdomTree India Earnings shows Sharpe Ratio of -0.0816, which attests that the etf had a -0.0816% return per unit of risk over the last 3 months. WisdomTree India Earnings exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WisdomTree India's Standard Deviation of 0.8055, mean deviation of 0.6112, and Market Risk Adjusted Performance of (0.12) to validate the risk estimate we provide. The entity maintains a market beta of 0.48, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, WisdomTree India's returns are expected to increase less than the market. However, during the bear market, the loss of holding WisdomTree India is expected to be smaller as well.
Auto-correlation | -0.45 |
Modest reverse predictability
WisdomTree India Earnings has modest reverse predictability. Overlapping area represents the amount of predictability between WisdomTree India time series from 22nd of December 2023 to 19th of June 2024 and 19th of June 2024 to 16th 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 WisdomTree India Earnings price movement. The serial correlation of -0.45 indicates that just about 45.0% of current WisdomTree India price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 1.48 |
WisdomTree India Earnings lagged returns against current returns
Autocorrelation, which is WisdomTree India 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 WisdomTree India's etf expected returns. We can calculate the autocorrelation of WisdomTree India returns to help us make a trade decision. For example, suppose you find that WisdomTree India 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 |
WisdomTree India 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 WisdomTree India etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WisdomTree India etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WisdomTree India etf over time.
Current vs Lagged Prices |
| Timeline |
WisdomTree India Lagged Returns
When evaluating WisdomTree India's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WisdomTree India etf have on its future price. WisdomTree India 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, WisdomTree India autocorrelation shows the relationship between WisdomTree India etf current value and its past values and can show if there is a momentum factor associated with investing in WisdomTree India Earnings.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether WisdomTree India Earnings offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of WisdomTree India'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 Wisdomtree India Earnings Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Wisdomtree India Earnings Etf:Check out WisdomTree India Correlation, WisdomTree India Volatility and WisdomTree India Alpha and Beta module to complement your research on WisdomTree India. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
WisdomTree India 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.