Huge (South Africa) Market Value
| HUG Stock | 176.00 23.00 11.56% |
| Symbol | Huge |
Huge '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 Huge'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 Huge.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Huge on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Huge Group or generate 0.0% return on investment in Huge over 30 days. Huge is related to or competes with Kap Industrial, Bytes Technology, Frontier Transport, Afine Investments, Capitec Bank, Astoria Investments, and British Amer. More
Huge 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 Huge'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 Huge Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.79 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 19.09 | |||
| Value At Risk | (8.64) | |||
| Potential Upside | 6.83 |
Huge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Huge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Huge's standard deviation. In reality, there are many statistical measures that can use Huge historical prices to predict the future Huge's volatility.| Risk Adjusted Performance | 0.0117 | |||
| Jensen Alpha | 0.0737 | |||
| Total Risk Alpha | (0.56) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.01) |
Huge Group Backtested Returns
Huge Group holds Efficiency (Sharpe) Ratio of -0.032, which attests that the entity had a -0.032% return per unit of risk over the last 3 months. Huge Group exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Huge's Risk Adjusted Performance of 0.0117, insignificant market risk adjusted performance, and Downside Deviation of 5.79 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.54, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Huge are expected to decrease at a much lower rate. During the bear market, Huge is likely to outperform the market. At this point, Huge Group has a negative expected return of -0.13%. Please make sure to check out Huge's sortino ratio, potential upside, and the relationship between the jensen alpha and maximum drawdown , to decide if Huge Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.29 |
Poor predictability
Huge Group has poor predictability. Overlapping area represents the amount of predictability between Huge time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Huge Group price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Huge price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 43.72 |
Huge Group lagged returns against current returns
Autocorrelation, which is Huge 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 Huge's stock expected returns. We can calculate the autocorrelation of Huge returns to help us make a trade decision. For example, suppose you find that Huge 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 |
Huge 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 Huge stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Huge stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Huge stock over time.
Current vs Lagged Prices |
| Timeline |
Huge Lagged Returns
When evaluating Huge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Huge stock have on its future price. Huge 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, Huge autocorrelation shows the relationship between Huge stock current value and its past values and can show if there is a momentum factor associated with investing in Huge Group.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Huge Stock
Huge financial ratios help investors to determine whether Huge 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 Huge with respect to the benefits of owning Huge security.