An Phat (Vietnam) Market Value
AAA Stock | 8,360 40.00 0.48% |
Symbol | AAA |
An Phat '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 An Phat'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 An Phat.
10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in An Phat on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding An Phat Plastic or generate 0.0% return on investment in An Phat over 30 days. An Phat is related to or competes with FIT INVEST, Damsan JSC, APG Securities, Binhthuan Agriculture, Mekong Fisheries, and Bentre Aquaproduct. More
An Phat 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 An Phat'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 An Phat Plastic upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.34) | |||
Maximum Drawdown | 6.55 | |||
Value At Risk | (2.24) | |||
Potential Upside | 1.79 |
An Phat Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for An Phat's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as An Phat's standard deviation. In reality, there are many statistical measures that can use An Phat historical prices to predict the future An Phat's volatility.Risk Adjusted Performance | (0.20) | |||
Jensen Alpha | (0.37) | |||
Total Risk Alpha | (0.53) | |||
Treynor Ratio | (2.58) |
An Phat Plastic Backtested Returns
An Phat Plastic retains Efficiency (Sharpe Ratio) of -0.22, which signifies that the company had a -0.22% return per unit of price deviation over the last 3 months. An Phat exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm An Phat's Market Risk Adjusted Performance of (2.57), information ratio of (0.34), and Variance of 1.78 to double-check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, An Phat's returns are expected to increase less than the market. However, during the bear market, the loss of holding An Phat is expected to be smaller as well. At this point, An Phat Plastic has a negative expected return of -0.28%. Please make sure to confirm An Phat's value at risk, rate of daily change, and the relationship between the total risk alpha and kurtosis , to decide if An Phat Plastic performance from the past will be repeated in the future.
Auto-correlation | 0.61 |
Good predictability
An Phat Plastic has good predictability. Overlapping area represents the amount of predictability between An Phat time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 An Phat Plastic price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current An Phat price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.61 | |
Spearman Rank Test | 0.73 | |
Residual Average | 0.0 | |
Price Variance | 16.5 K |
An Phat Plastic lagged returns against current returns
Autocorrelation, which is An Phat 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 An Phat's stock expected returns. We can calculate the autocorrelation of An Phat returns to help us make a trade decision. For example, suppose you find that An Phat 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 |
An Phat 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 An Phat stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if An Phat stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in An Phat stock over time.
Current vs Lagged Prices |
Timeline |
An Phat Lagged Returns
When evaluating An Phat's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of An Phat stock have on its future price. An Phat 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, An Phat autocorrelation shows the relationship between An Phat stock current value and its past values and can show if there is a momentum factor associated with investing in An Phat Plastic.
Regressed Prices |
Timeline |
Pair Trading with An Phat
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 An Phat 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 An Phat will appreciate offsetting losses from the drop in the long position's value.Moving together with AAA Stock
Moving against AAA Stock
The ability to find closely correlated positions to An Phat could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace An Phat 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 An Phat - 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 An Phat Plastic to buy it.
The correlation of An Phat 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 An Phat moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if An Phat Plastic 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 An Phat 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 AAA Stock
An Phat financial ratios help investors to determine whether AAA 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 AAA with respect to the benefits of owning An Phat security.