VETIVA BANKING's market value is the price at which a share of VETIVA BANKING trades on a public exchange. It measures the collective expectations of VETIVA BANKING ETF investors about its performance. VETIVA BANKING is selling for 13.70 as of the 4th of March 2025. This is a 2.93 percent increase since the beginning of the trading day. The etf's last reported lowest price was 13.31. With this module, you can estimate the performance of a buy and hold strategy of VETIVA BANKING ETF and determine expected loss or profit from investing in VETIVA BANKING 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 nation.
Symbol
VETIVA
VETIVA BANKING '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 BANKING'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 BANKING.
0.00
09/05/2024
No Change 0.00
0.0
In 5 months and 29 days
03/04/2025
0.00
If you would invest 0.00 in VETIVA BANKING on September 5, 2024 and sell it all today you would earn a total of 0.00 from holding VETIVA BANKING ETF or generate 0.0% return on investment in VETIVA BANKING over 180 days.
VETIVA BANKING 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 BANKING'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 BANKING ETF 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 BANKING's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VETIVA BANKING's standard deviation. In reality, there are many statistical measures that can use VETIVA BANKING historical prices to predict the future VETIVA BANKING's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as VETIVA BANKING. Your research has to be compared to or analyzed against VETIVA BANKING's peers to derive any actionable benefits. When done correctly, VETIVA BANKING's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in VETIVA BANKING ETF.
VETIVA BANKING ETF Backtested Returns
VETIVA BANKING appears to be not too volatile, given 3 months investment horizon. VETIVA BANKING ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.28, which indicates the etf had a 0.28 % return per unit of risk over the last 3 months. By examining VETIVA BANKING's technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please review VETIVA BANKING's Variance of 2.99, risk adjusted performance of 0.2053, and Coefficient Of Variation of 374.34 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of -0.0094, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning VETIVA BANKING are expected to decrease at a much lower rate. During the bear market, VETIVA BANKING is likely to outperform the market.
Auto-correlation
0.91
Excellent predictability
VETIVA BANKING ETF has excellent predictability. Overlapping area represents the amount of predictability between VETIVA BANKING time series from 5th of September 2024 to 4th of December 2024 and 4th of December 2024 to 4th of March 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 BANKING ETF price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current VETIVA BANKING price fluctuation can be explain by its past prices.
Correlation Coefficient
0.91
Spearman Rank Test
0.93
Residual Average
0.0
Price Variance
1.15
VETIVA BANKING ETF lagged returns against current returns
Autocorrelation, which is VETIVA BANKING 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 BANKING's etf expected returns. We can calculate the autocorrelation of VETIVA BANKING returns to help us make a trade decision. For example, suppose you find that VETIVA BANKING 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 BANKING 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 BANKING etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VETIVA BANKING etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VETIVA BANKING etf over time.
Current vs Lagged Prices
Timeline
VETIVA BANKING Lagged Returns
When evaluating VETIVA BANKING's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VETIVA BANKING etf have on its future price. VETIVA BANKING 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 BANKING autocorrelation shows the relationship between VETIVA BANKING etf current value and its past values and can show if there is a momentum factor associated with investing in VETIVA BANKING ETF.
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.