Dong A (Vietnam) Market Value

DAH Stock   3,070  10.00  0.32%   
Dong A's market value is the price at which a share of Dong A trades on a public exchange. It measures the collective expectations of Dong A Hotel investors about its performance. Dong A is selling at 3070.00 as of the 16th of December 2024; that is 0.32 percent decrease since the beginning of the trading day. The stock's open price was 3080.0.
With this module, you can estimate the performance of a buy and hold strategy of Dong A Hotel and determine expected loss or profit from investing in Dong A over a given investment horizon. Check out Investing Opportunities 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.
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Dong A '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 Dong A'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 Dong A.
0.00
11/16/2024
No Change 0.00  0.0 
In 31 days
12/16/2024
0.00
If you would invest  0.00  in Dong A on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding Dong A Hotel or generate 0.0% return on investment in Dong A over 30 days.

Dong A 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 Dong A'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 Dong A Hotel upside and downside potential and time the market with a certain degree of confidence.

Dong A Market Risk Indicators

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

Dong A Hotel Backtested Returns

Dong A Hotel secures Sharpe Ratio (or Efficiency) of -0.0404, which denotes the company had a -0.0404% return per unit of risk over the last 3 months. Dong A Hotel exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dong A's Variance of 0.9806, mean deviation of 0.5982, and Standard Deviation of 0.9903 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.18, which means not very significant fluctuations relative to the market. As returns on the market increase, Dong A's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dong A is expected to be smaller as well. At this point, Dong A Hotel has a negative expected return of -0.0397%. Please make sure to confirm Dong A's skewness, and the relationship between the treynor ratio and daily balance of power , to decide if Dong A Hotel performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.41  

Modest reverse predictability

Dong A Hotel has modest reverse predictability. Overlapping area represents the amount of predictability between Dong A time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th 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 Dong A Hotel price movement. The serial correlation of -0.41 indicates that just about 41.0% of current Dong A price fluctuation can be explain by its past prices.
Correlation Coefficient-0.41
Spearman Rank Test-0.07
Residual Average0.0
Price Variance874.38

Dong A Hotel lagged returns against current returns

Autocorrelation, which is Dong A 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 Dong A's stock expected returns. We can calculate the autocorrelation of Dong A returns to help us make a trade decision. For example, suppose you find that Dong A 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  

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

Dong A Lagged Returns

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

Pair Trading with Dong A

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