Viet Nam (Vietnam) Market Value
V12 Stock | 12,000 100.00 0.84% |
Symbol | Viet |
Viet Nam '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 Viet Nam'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 Viet Nam.
11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in Viet Nam on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding Viet Nam Construction or generate 0.0% return on investment in Viet Nam over 30 days.
Viet Nam 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 Viet Nam'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 Viet Nam Construction upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 4.81 | |||
Information Ratio | 0.0318 | |||
Maximum Drawdown | 19.41 | |||
Value At Risk | (8.66) | |||
Potential Upside | 8.93 |
Viet Nam Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Viet Nam's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Viet Nam's standard deviation. In reality, there are many statistical measures that can use Viet Nam historical prices to predict the future Viet Nam's volatility.Risk Adjusted Performance | 0.0391 | |||
Jensen Alpha | 0.1725 | |||
Total Risk Alpha | 0.0394 | |||
Sortino Ratio | 0.0297 | |||
Treynor Ratio | (0.49) |
Viet Nam Construction Backtested Returns
Viet Nam Construction owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0057, which indicates the firm had a -0.0057% return per unit of risk over the last 3 months. Viet Nam Construction exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Viet Nam's Semi Deviation of 3.72, risk adjusted performance of 0.0391, and Coefficient Of Variation of 2562.72 to confirm the risk estimate we provide. The entity has a beta of -0.34, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Viet Nam are expected to decrease at a much lower rate. During the bear market, Viet Nam is likely to outperform the market. At this point, Viet Nam Construction has a negative expected return of -0.0273%. Please make sure to validate Viet Nam's potential upside, daily balance of power, and the relationship between the treynor ratio and expected short fall , to decide if Viet Nam Construction performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.33 |
Below average predictability
Viet Nam Construction has below average predictability. Overlapping area represents the amount of predictability between Viet Nam time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd 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 Viet Nam Construction price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Viet Nam price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.33 | |
Spearman Rank Test | -0.6 | |
Residual Average | 0.0 | |
Price Variance | 58.4 K |
Viet Nam Construction lagged returns against current returns
Autocorrelation, which is Viet Nam 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 Viet Nam's stock expected returns. We can calculate the autocorrelation of Viet Nam returns to help us make a trade decision. For example, suppose you find that Viet Nam 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 |
Viet Nam 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 Viet Nam stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Viet Nam stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Viet Nam stock over time.
Current vs Lagged Prices |
Timeline |
Viet Nam Lagged Returns
When evaluating Viet Nam's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Viet Nam stock have on its future price. Viet Nam 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, Viet Nam autocorrelation shows the relationship between Viet Nam stock current value and its past values and can show if there is a momentum factor associated with investing in Viet Nam Construction.
Regressed Prices |
Timeline |
Pair Trading with Viet Nam
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 Viet Nam 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 Viet Nam will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Viet Nam could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Viet Nam 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 Viet Nam - 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 Viet Nam Construction to buy it.
The correlation of Viet Nam 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 Viet Nam moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Viet Nam Construction 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 Viet Nam 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.