VETIVA SUMER's market value is the price at which a share of VETIVA SUMER trades on a public exchange. It measures the collective expectations of VETIVA SUMER GOODS investors about its performance. VETIVA SUMER is trading at 17.20 as of the 3rd of February 2025, a No Change since the beginning of the trading day. The etf's lowest day price was 17.2. With this module, you can estimate the performance of a buy and hold strategy of VETIVA SUMER GOODS and determine expected loss or profit from investing in VETIVA SUMER over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in persons.
Symbol
VETIVA
VETIVA SUMER '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 VETIVA SUMER'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 VETIVA SUMER.
0.00
01/04/2025
No Change 0.00
0.0
In 30 days
02/03/2025
0.00
If you would invest 0.00 in VETIVA SUMER on January 4, 2025 and sell it all today you would earn a total of 0.00 from holding VETIVA SUMER GOODS or generate 0.0% return on investment in VETIVA SUMER over 30 days.
VETIVA SUMER 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 VETIVA SUMER'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 VETIVA SUMER GOODS upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for VETIVA SUMER's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VETIVA SUMER's standard deviation. In reality, there are many statistical measures that can use VETIVA SUMER historical prices to predict the future VETIVA SUMER's volatility.
At this point, VETIVA SUMER is very steady. VETIVA SUMER GOODS owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.24, which indicates the etf had a 0.24 % return per unit of risk over the last 3 months. We have found seventeen technical indicators for VETIVA SUMER GOODS, which you can use to evaluate the volatility of the etf. Please validate VETIVA SUMER's Coefficient Of Variation of 439.57, risk adjusted performance of 0.1776, and Variance of 0.1302 to confirm if the risk estimate we provide is consistent with the expected return of 0.0874%. The entity has a beta of -0.029, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning VETIVA SUMER are expected to decrease at a much lower rate. During the bear market, VETIVA SUMER is likely to outperform the market.
Auto-correlation
1.00
Perfect predictability
VETIVA SUMER GOODS has perfect predictability. Overlapping area represents the amount of predictability between VETIVA SUMER time series from 4th of January 2025 to 19th of January 2025 and 19th of January 2025 to 3rd of February 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 VETIVA SUMER GOODS price movement. The serial correlation of 1.0 indicates that 100.0% of current VETIVA SUMER price fluctuation can be explain by its past prices.
Correlation Coefficient
1.0
Spearman Rank Test
1.0
Residual Average
0.0
Price Variance
0.0
VETIVA SUMER GOODS lagged returns against current returns
Autocorrelation, which is VETIVA SUMER 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 VETIVA SUMER's etf expected returns. We can calculate the autocorrelation of VETIVA SUMER returns to help us make a trade decision. For example, suppose you find that VETIVA SUMER 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
VETIVA SUMER 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 VETIVA SUMER etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VETIVA SUMER etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VETIVA SUMER etf over time.
Current vs Lagged Prices
Timeline
VETIVA SUMER Lagged Returns
When evaluating VETIVA SUMER's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VETIVA SUMER etf have on its future price. VETIVA SUMER 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, VETIVA SUMER autocorrelation shows the relationship between VETIVA SUMER etf current value and its past values and can show if there is a momentum factor associated with investing in VETIVA SUMER GOODS.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.