Vanguard Dividend Appreciation Etf Market Value
| VGH Etf | CAD 65.93 0.47 0.72% |
| Symbol | Vanguard |
Vanguard Dividend '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 Vanguard Dividend'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 Vanguard Dividend.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Vanguard Dividend on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Vanguard Dividend Appreciation or generate 0.0% return on investment in Vanguard Dividend over 30 days. Vanguard Dividend is related to or competes with Vanguard Dividend, Vanguard Total, Vanguard FTSE, Vanguard FTSE, and Vanguard FTSE. The ETF seeks to track, to the extent reasonably possible and before fees and expenses, the performance of a U.S More
Vanguard Dividend 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 Vanguard Dividend'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 Vanguard Dividend Appreciation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5595 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.65 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 1.12 |
Vanguard Dividend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Dividend's standard deviation. In reality, there are many statistical measures that can use Vanguard Dividend historical prices to predict the future Vanguard Dividend's volatility.| Risk Adjusted Performance | 0.0825 | |||
| Jensen Alpha | 0.024 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.1606 |
Vanguard Dividend Backtested Returns
As of now, Vanguard Etf is very steady. Vanguard Dividend owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the etf had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Vanguard Dividend Appreciation, which you can use to evaluate the volatility of the etf. Please validate Vanguard Dividend's Risk Adjusted Performance of 0.0825, coefficient of variation of 907.78, and Semi Deviation of 0.4587 to confirm if the risk estimate we provide is consistent with the expected return of 0.0744%. The entity has a beta of 0.39, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Vanguard Dividend's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vanguard Dividend is expected to be smaller as well.
Auto-correlation | 0.70 |
Good predictability
Vanguard Dividend Appreciation has good predictability. Overlapping area represents the amount of predictability between Vanguard Dividend time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Vanguard Dividend price movement. The serial correlation of 0.7 indicates that around 70.0% of current Vanguard Dividend price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.29 |
Vanguard Dividend lagged returns against current returns
Autocorrelation, which is Vanguard Dividend 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 Vanguard Dividend's etf expected returns. We can calculate the autocorrelation of Vanguard Dividend returns to help us make a trade decision. For example, suppose you find that Vanguard Dividend 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 |
Vanguard Dividend 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 Vanguard Dividend etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Dividend etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vanguard Dividend etf over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Dividend Lagged Returns
When evaluating Vanguard Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Dividend etf have on its future price. Vanguard Dividend 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, Vanguard Dividend autocorrelation shows the relationship between Vanguard Dividend etf current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Dividend Appreciation.
Regressed Prices |
| Timeline |
Pair Trading with Vanguard Dividend
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 Vanguard Dividend 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 Vanguard Dividend will appreciate offsetting losses from the drop in the long position's value.Moving together with Vanguard Etf
| 0.9 | VGG | Vanguard Dividend | PairCorr |
| 0.79 | CUD | iShares Dividend Growers | PairCorr |
| 0.89 | ZDY | BMO Dividend ETF | PairCorr |
| 0.9 | ZWH | BMO High Dividend | PairCorr |
The ability to find closely correlated positions to Vanguard Dividend could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vanguard Dividend 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 Vanguard Dividend - 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 Vanguard Dividend Appreciation to buy it.
The correlation of Vanguard Dividend 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 Vanguard Dividend moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vanguard Dividend 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 Vanguard Dividend 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 Vanguard Dividend Correlation, Vanguard Dividend Volatility and Vanguard Dividend Alpha and Beta module to complement your research on Vanguard Dividend. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Vanguard Dividend 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.