VICS (Vietnam) Market Value

VIG Stock   6,300  200.00  3.28%   
VICS's market value is the price at which a share of VICS trades on a public exchange. It measures the collective expectations of VICS investors about its performance. VICS is selling at 6300.00 as of the 16th of March 2025; that is 3.28 percent up since the beginning of the trading day. The stock's open price was 6100.0.
With this module, you can estimate the performance of a buy and hold strategy of VICS and determine expected loss or profit from investing in VICS 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 company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol

VICS '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 VICS's stock 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 VICS.
0.00
12/16/2024
No Change 0.00  0.0 
In 2 months and 31 days
03/16/2025
0.00
If you would invest  0.00  in VICS on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding VICS or generate 0.0% return on investment in VICS over 90 days.

VICS 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 VICS's stock 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 VICS upside and downside potential and time the market with a certain degree of confidence.

VICS Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for VICS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VICS's standard deviation. In reality, there are many statistical measures that can use VICS historical prices to predict the future VICS's volatility.

VICS Backtested Returns

VICS appears to be very steady, given 3 months investment horizon. VICS retains Efficiency (Sharpe Ratio) of 0.11, which indicates the firm had a 0.11 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for VICS, which you can use to evaluate the volatility of the company. Please review VICS's downside deviation of 2.09, and Risk Adjusted Performance of 0.0995 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, VICS holds a performance score of 8. The entity owns a Beta (Systematic Risk) of 0.29, which indicates not very significant fluctuations relative to the market. As returns on the market increase, VICS's returns are expected to increase less than the market. However, during the bear market, the loss of holding VICS is expected to be smaller as well. Please check VICS's jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether VICS's current price history will revert.

Auto-correlation

    
  -0.14  

Insignificant reverse predictability

VICS has insignificant reverse predictability. Overlapping area represents the amount of predictability between VICS time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 VICS price movement. The serial correlation of -0.14 indicates that less than 14.0% of current VICS price fluctuation can be explain by its past prices.
Correlation Coefficient-0.14
Spearman Rank Test0.01
Residual Average0.0
Price Variance54.5 K

VICS lagged returns against current returns

Autocorrelation, which is VICS stock'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 VICS's stock expected returns. We can calculate the autocorrelation of VICS returns to help us make a trade decision. For example, suppose you find that VICS has exhibited high autocorrelation historically, and you observe that the stock 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  

VICS 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 VICS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VICS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VICS stock over time.
   Current vs Lagged Prices   
       Timeline  

VICS Lagged Returns

When evaluating VICS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VICS stock have on its future price. VICS 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, VICS autocorrelation shows the relationship between VICS stock current value and its past values and can show if there is a momentum factor associated with investing in VICS.
   Regressed Prices   
       Timeline  

Pair Trading with VICS

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 VICS 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 VICS will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to VICS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace VICS 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 VICS - 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 VICS to buy it.
The correlation of VICS 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 VICS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if VICS 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 VICS 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.
Pair CorrelationCorrelation Matching