Vinacomin Mong (Vietnam) Market Value
MDC Stock | 9,800 100.00 1.01% |
Symbol | Vinacomin |
Vinacomin Mong '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 Vinacomin Mong'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 Vinacomin Mong.
11/27/2024 |
| 12/27/2024 |
If you would invest 0.00 in Vinacomin Mong on November 27, 2024 and sell it all today you would earn a total of 0.00 from holding Vinacomin Mong Duong or generate 0.0% return on investment in Vinacomin Mong over 30 days.
Vinacomin Mong 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 Vinacomin Mong'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 Vinacomin Mong Duong upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.18) | |||
Maximum Drawdown | 5.09 | |||
Value At Risk | (1.02) | |||
Potential Upside | 1.02 |
Vinacomin Mong Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vinacomin Mong's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vinacomin Mong's standard deviation. In reality, there are many statistical measures that can use Vinacomin Mong historical prices to predict the future Vinacomin Mong's volatility.Risk Adjusted Performance | (0.09) | |||
Jensen Alpha | (0.11) | |||
Total Risk Alpha | (0.16) | |||
Treynor Ratio | 0.9937 |
Vinacomin Mong Duong Backtested Returns
Vinacomin Mong Duong owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0943, which indicates the firm had a -0.0943% return per unit of risk over the last 3 months. Vinacomin Mong Duong exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Vinacomin Mong's Risk Adjusted Performance of (0.09), variance of 0.7085, and Coefficient Of Variation of (833.39) to confirm the risk estimate we provide. The entity has a beta of -0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Vinacomin Mong are expected to decrease at a much lower rate. During the bear market, Vinacomin Mong is likely to outperform the market. At this point, Vinacomin Mong Duong has a negative expected return of -0.0863%. Please make sure to validate Vinacomin Mong's kurtosis, and the relationship between the treynor ratio and day median price , to decide if Vinacomin Mong Duong performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.07 |
Virtually no predictability
Vinacomin Mong Duong has virtually no predictability. Overlapping area represents the amount of predictability between Vinacomin Mong time series from 27th of November 2024 to 12th of December 2024 and 12th of December 2024 to 27th 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 Vinacomin Mong Duong price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Vinacomin Mong price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.07 | |
Spearman Rank Test | 0.4 | |
Residual Average | 0.0 | |
Price Variance | 3209.88 |
Vinacomin Mong Duong lagged returns against current returns
Autocorrelation, which is Vinacomin Mong 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 Vinacomin Mong's stock expected returns. We can calculate the autocorrelation of Vinacomin Mong returns to help us make a trade decision. For example, suppose you find that Vinacomin Mong 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 |
Vinacomin Mong 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 Vinacomin Mong stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vinacomin Mong stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vinacomin Mong stock over time.
Current vs Lagged Prices |
Timeline |
Vinacomin Mong Lagged Returns
When evaluating Vinacomin Mong's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vinacomin Mong stock have on its future price. Vinacomin Mong 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, Vinacomin Mong autocorrelation shows the relationship between Vinacomin Mong stock current value and its past values and can show if there is a momentum factor associated with investing in Vinacomin Mong Duong.
Regressed Prices |
Timeline |
Pair Trading with Vinacomin Mong
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 Vinacomin Mong 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 Vinacomin Mong will appreciate offsetting losses from the drop in the long position's value.Moving against Vinacomin Stock
0.75 | ELC | Elcom Technology Com | PairCorr |
0.73 | BCF | Bich Chi Food | PairCorr |
0.73 | ICT | Telecoms Informatics JSC | PairCorr |
0.6 | FPT | FPT Corp | PairCorr |
0.53 | SMA | Saigon Machinery Spare | PairCorr |
The ability to find closely correlated positions to Vinacomin Mong could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vinacomin Mong 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 Vinacomin Mong - 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 Vinacomin Mong Duong to buy it.
The correlation of Vinacomin Mong 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 Vinacomin Mong moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vinacomin Mong Duong 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 Vinacomin Mong 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.