Alpha Divisions (Thailand) Market Value
| ALPHAX Stock | 0.62 0.01 1.59% |
| Symbol | Alpha |
Alpha Divisions '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 Alpha Divisions' 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 Alpha Divisions.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Alpha Divisions on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Alpha Divisions PCL or generate 0.0% return on investment in Alpha Divisions over 30 days. Alpha Divisions is related to or competes with Asia Biomass, Akkhie Prakarn, AIRA Factoring, Infraset Public, and CAZ Public. More
Alpha Divisions 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 Alpha Divisions' 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 Alpha Divisions PCL upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 10.41 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 3.08 |
Alpha Divisions Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Divisions' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Divisions' standard deviation. In reality, there are many statistical measures that can use Alpha Divisions historical prices to predict the future Alpha Divisions' volatility.| Risk Adjusted Performance | 0.0017 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | 0.7296 |
Alpha Divisions PCL Backtested Returns
Alpha Divisions PCL secures Sharpe Ratio (or Efficiency) of -0.0201, which signifies that the company had a -0.0201% return per unit of risk over the last 3 months. Alpha Divisions PCL exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alpha Divisions' Risk Adjusted Performance of 0.0017, standard deviation of 1.75, and Mean Deviation of 1.21 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0263, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alpha Divisions are expected to decrease at a much lower rate. During the bear market, Alpha Divisions is likely to outperform the market. At this point, Alpha Divisions PCL has a negative expected return of -0.0358%. Please make sure to confirm Alpha Divisions' maximum drawdown, daily balance of power, period momentum indicator, as well as the relationship between the skewness and day typical price , to decide if Alpha Divisions PCL performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.64 |
Good predictability
Alpha Divisions PCL has good predictability. Overlapping area represents the amount of predictability between Alpha Divisions time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Alpha Divisions PCL price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Alpha Divisions price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Alpha Divisions PCL lagged returns against current returns
Autocorrelation, which is Alpha Divisions 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 Alpha Divisions' stock expected returns. We can calculate the autocorrelation of Alpha Divisions returns to help us make a trade decision. For example, suppose you find that Alpha Divisions 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 |
Alpha Divisions 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 Alpha Divisions stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Divisions stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Divisions stock over time.
Current vs Lagged Prices |
| Timeline |
Alpha Divisions Lagged Returns
When evaluating Alpha Divisions' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Divisions stock have on its future price. Alpha Divisions 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, Alpha Divisions autocorrelation shows the relationship between Alpha Divisions stock current value and its past values and can show if there is a momentum factor associated with investing in Alpha Divisions PCL.
Regressed Prices |
| Timeline |
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Alpha Divisions financial ratios help investors to determine whether Alpha 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 Alpha with respect to the benefits of owning Alpha Divisions security.