ADC (Vietnam) Market Value
| ADC Stock | 22,400 700.00 3.23% |
| Symbol | ADC |
ADC '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 ADC'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 ADC.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in ADC on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding ADC or generate 0.0% return on investment in ADC over 90 days.
ADC 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 ADC'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 ADC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.77 | |||
| Information Ratio | 0.1028 | |||
| Maximum Drawdown | 15.52 | |||
| Value At Risk | (4.80) | |||
| Potential Upside | 5.66 |
ADC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ADC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ADC's standard deviation. In reality, there are many statistical measures that can use ADC historical prices to predict the future ADC's volatility.| Risk Adjusted Performance | 0.0688 | |||
| Jensen Alpha | 0.2043 | |||
| Total Risk Alpha | 0.5964 | |||
| Sortino Ratio | 0.0845 | |||
| Treynor Ratio | (4.85) |
ADC Backtested Returns
ADC appears to be very steady, given 3 months investment horizon. ADC retains Efficiency (Sharpe Ratio) of 0.0899, which signifies that the company had a 0.0899 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ADC, which you can use to evaluate the volatility of the firm. Please makes use of ADC's market risk adjusted performance of (4.84), and Coefficient Of Variation of 1412.38 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ADC holds a performance score of 7. The firm owns a Beta (Systematic Risk) of -0.0431, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ADC are expected to decrease at a much lower rate. During the bear market, ADC is likely to outperform the market. Please check ADC's sortino ratio, semi variance, and the relationship between the standard deviation and value at risk , to make a quick decision on whether ADC's current price history will revert.
Auto-correlation | -0.3 |
Weak reverse predictability
ADC has weak reverse predictability. Overlapping area represents the amount of predictability between ADC time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 ADC price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current ADC price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 544.6 K |
ADC lagged returns against current returns
Autocorrelation, which is ADC 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 ADC's stock expected returns. We can calculate the autocorrelation of ADC returns to help us make a trade decision. For example, suppose you find that ADC 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 |
ADC 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 ADC stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ADC stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ADC stock over time.
Current vs Lagged Prices |
| Timeline |
ADC Lagged Returns
When evaluating ADC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ADC stock have on its future price. ADC 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, ADC autocorrelation shows the relationship between ADC stock current value and its past values and can show if there is a momentum factor associated with investing in ADC.
Regressed Prices |
| Timeline |
Pair Trading with ADC
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 ADC 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 ADC will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to ADC could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ADC 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 ADC - 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 ADC to buy it.
The correlation of ADC 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 ADC moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ADC 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 ADC 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.