Wh Group Stock Market Value
WHGLY Stock | USD 13.55 0.65 5.04% |
Symbol | WHGLY |
WH Group '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 WH Group's pink sheet 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 WH Group.
02/02/2023 |
| 03/28/2024 |
If you would invest 0.00 in WH Group on February 2, 2023 and sell it all today you would earn a total of 0.00 from holding WH Group or generate 0.0% return on investment in WH Group over 420 days. WH Group is related to or competes with Kraft Heinz, General Mills, Danone PK, McCormick Company, and Kellanova. WH Group Limited, an investment holding company, engages in the production, wholesale, and retail sale of meat products ... More
WH Group 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 WH Group's pink sheet 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 WH Group upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.55 | |||
Information Ratio | (0.01) | |||
Maximum Drawdown | 6.08 | |||
Value At Risk | (2.63) | |||
Potential Upside | 2.55 |
WH Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WH Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WH Group's standard deviation. In reality, there are many statistical measures that can use WH Group historical prices to predict the future WH Group's volatility.Risk Adjusted Performance | 0.0465 | |||
Jensen Alpha | 0.0363 | |||
Total Risk Alpha | (0.26) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | 0.1878 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WH Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
WH Group Backtested Returns
We consider WH Group not too volatile. WH Group retains Efficiency (Sharpe Ratio) of 0.0549, which attests that the company had a 0.0549% return per unit of price deviation over the last 3 months. We have found thirty technical indicators for WH Group, which you can use to evaluate the volatility of the company. Please check out WH Group's market risk adjusted performance of 0.1978, and Standard Deviation of 1.63 to validate if the risk estimate we provide is consistent with the expected return of 0.0917%. WH Group has a performance score of 4 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of 0.57, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, WH Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding WH Group is expected to be smaller as well. WH Group today owns a risk of 1.67%. Please check out WH Group value at risk, and the relationship between the standard deviation and kurtosis , to decide if WH Group will be following its current price history.
Auto-correlation | -0.7 |
Very good reverse predictability
WH Group has very good reverse predictability. Overlapping area represents the amount of predictability between WH Group time series from 2nd of February 2023 to 31st of August 2023 and 31st of August 2023 to 28th of March 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 WH Group price movement. The serial correlation of -0.7 indicates that around 70.0% of current WH Group price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.7 | |
Spearman Rank Test | -0.43 | |
Residual Average | 0.0 | |
Price Variance | 0.84 |
WH Group lagged returns against current returns
Autocorrelation, which is WH Group pink sheet'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 WH Group's pink sheet expected returns. We can calculate the autocorrelation of WH Group returns to help us make a trade decision. For example, suppose you find that WH Group has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
WH Group 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 WH Group pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WH Group pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WH Group pink sheet over time.
Current vs Lagged Prices |
Timeline |
WH Group Lagged Returns
When evaluating WH Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WH Group pink sheet have on its future price. WH Group 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, WH Group autocorrelation shows the relationship between WH Group pink sheet current value and its past values and can show if there is a momentum factor associated with investing in WH Group.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards WH Group in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, WH Group's short interest history, or implied volatility extrapolated from WH Group options trading.
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Check out WH Group Correlation, WH Group Volatility and WH Group Alpha and Beta module to complement your research on WH Group. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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When running WH Group's price analysis, check to measure WH Group's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy WH Group is operating at the current time. Most of WH Group's value examination focuses on studying past and present price action to predict the probability of WH Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WH Group's price. Additionally, you may evaluate how the addition of WH Group to your portfolios can decrease your overall portfolio volatility.
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WH Group technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.