WHA Industrial (Thailand) Market Value
WHAIR Stock | 5.65 0.05 0.89% |
Symbol | WHA |
WHA Industrial '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 WHA Industrial'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 WHA Industrial.
12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in WHA Industrial on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding WHA Industrial Leasehold or generate 0.0% return on investment in WHA Industrial over 90 days. WHA Industrial is related to or competes with Quality Houses, Ticon Freehold, CPN Retail, Prospect Logistics, and WHA Premium. More
WHA Industrial 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 WHA Industrial'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 WHA Industrial Leasehold upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.07) | |||
Maximum Drawdown | 9.44 | |||
Value At Risk | (2.59) | |||
Potential Upside | 1.82 |
WHA Industrial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WHA Industrial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WHA Industrial's standard deviation. In reality, there are many statistical measures that can use WHA Industrial historical prices to predict the future WHA Industrial's volatility.Risk Adjusted Performance | (0.1) | |||
Jensen Alpha | (0.16) | |||
Total Risk Alpha | (0.03) | |||
Treynor Ratio | (0.41) |
WHA Industrial Leasehold Backtested Returns
WHA Industrial Leasehold retains Efficiency (Sharpe Ratio) of -0.12, which attests that the company had a -0.12 % return per unit of volatility over the last 3 months. WHA Industrial exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WHA Industrial's Market Risk Adjusted Performance of (0.40), information ratio of (0.07), and Mean Deviation of 1.03 to validate the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.5, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, WHA Industrial's returns are expected to increase less than the market. However, during the bear market, the loss of holding WHA Industrial is expected to be smaller as well. At this point, WHA Industrial Leasehold has a negative expected return of -0.2%. Please make sure to check out WHA Industrial's total risk alpha, as well as the relationship between the kurtosis and day typical price , to decide if WHA Industrial Leasehold performance from the past will be repeated in the future.
Auto-correlation | 0.47 |
Average predictability
WHA Industrial Leasehold has average predictability. Overlapping area represents the amount of predictability between WHA Industrial time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th 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 WHA Industrial Leasehold price movement. The serial correlation of 0.47 indicates that about 47.0% of current WHA Industrial price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.47 | |
Spearman Rank Test | 0.31 | |
Residual Average | 0.0 | |
Price Variance | 0.1 |
WHA Industrial Leasehold lagged returns against current returns
Autocorrelation, which is WHA Industrial 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 WHA Industrial's stock expected returns. We can calculate the autocorrelation of WHA Industrial returns to help us make a trade decision. For example, suppose you find that WHA Industrial 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 |
WHA Industrial 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 WHA Industrial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WHA Industrial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WHA Industrial stock over time.
Current vs Lagged Prices |
Timeline |
WHA Industrial Lagged Returns
When evaluating WHA Industrial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WHA Industrial stock have on its future price. WHA Industrial 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, WHA Industrial autocorrelation shows the relationship between WHA Industrial stock current value and its past values and can show if there is a momentum factor associated with investing in WHA Industrial Leasehold.
Regressed Prices |
Timeline |
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WHA Industrial financial ratios help investors to determine whether WHA 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 WHA with respect to the benefits of owning WHA Industrial security.