Long An (Vietnam) Market Value
LAF Stock | 22,600 300.00 1.35% |
Symbol | Long |
Long An '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 Long An'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 Long An.
02/02/2025 |
| 03/04/2025 |
If you would invest 0.00 in Long An on February 2, 2025 and sell it all today you would earn a total of 0.00 from holding Long An Food or generate 0.0% return on investment in Long An over 30 days. Long An is related to or competes with PetroVietnam Drilling, Transport, Mobile World, Ba Ria, Elcom Technology, and Ducgiang Chemicals. More
Long An 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 Long An'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 Long An Food upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.38 | |||
Information Ratio | 0.2339 | |||
Maximum Drawdown | 10.35 | |||
Value At Risk | (1.67) | |||
Potential Upside | 3.3 |
Long An Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Long An's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Long An's standard deviation. In reality, there are many statistical measures that can use Long An historical prices to predict the future Long An's volatility.Risk Adjusted Performance | 0.1596 | |||
Jensen Alpha | 0.3854 | |||
Total Risk Alpha | 0.5049 | |||
Sortino Ratio | 0.3035 | |||
Treynor Ratio | 0.842 |
Long An Food Backtested Returns
Long An appears to be very steady, given 3 months investment horizon. Long An Food has Sharpe Ratio of 0.24, which conveys that the firm had a 0.24 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Long An, which you can use to evaluate the volatility of the firm. Please exercise Long An's Mean Deviation of 1.29, downside deviation of 1.38, and Risk Adjusted Performance of 0.1596 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Long An holds a performance score of 19. The company secures a Beta (Market Risk) of 0.43, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Long An's returns are expected to increase less than the market. However, during the bear market, the loss of holding Long An is expected to be smaller as well. Please check Long An's treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to make a quick decision on whether Long An's current price movements will revert.
Auto-correlation | 0.68 |
Good predictability
Long An Food has good predictability. Overlapping area represents the amount of predictability between Long An time series from 2nd of February 2025 to 17th of February 2025 and 17th of February 2025 to 4th 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 Long An Food price movement. The serial correlation of 0.68 indicates that around 68.0% of current Long An price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.68 | |
Spearman Rank Test | 0.53 | |
Residual Average | 0.0 | |
Price Variance | 192.4 K |
Long An Food lagged returns against current returns
Autocorrelation, which is Long An 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 Long An's stock expected returns. We can calculate the autocorrelation of Long An returns to help us make a trade decision. For example, suppose you find that Long An 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 |
Long An 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 Long An stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Long An stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Long An stock over time.
Current vs Lagged Prices |
Timeline |
Long An Lagged Returns
When evaluating Long An's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Long An stock have on its future price. Long An 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, Long An autocorrelation shows the relationship between Long An stock current value and its past values and can show if there is a momentum factor associated with investing in Long An Food.
Regressed Prices |
Timeline |
Pair Trading with Long An
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 Long An 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 Long An will appreciate offsetting losses from the drop in the long position's value.Moving against Long Stock
The ability to find closely correlated positions to Long An could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Long An 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 Long An - 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 Long An Food to buy it.
The correlation of Long An 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 Long An moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Long An Food 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 Long An 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.Other Information on Investing in Long Stock
Long An financial ratios help investors to determine whether Long Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Long with respect to the benefits of owning Long An security.