Slang Worldwide Stock Market Value
SLGWF Stock | USD 0 0 36.67% |
Symbol | Slang |
Slang Worldwide '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 Slang Worldwide's otc 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 Slang Worldwide.
10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Slang Worldwide on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Slang Worldwide or generate 0.0% return on investment in Slang Worldwide over 30 days. SLANG Worldwide Inc. operates as a cannabis consumer packaged goods company in Canada and the United States More
Slang Worldwide 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 Slang Worldwide's otc 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 Slang Worldwide upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 25.43 | |||
Information Ratio | 0.0733 | |||
Maximum Drawdown | 216.17 | |||
Value At Risk | (36.17) | |||
Potential Upside | 41.46 |
Slang Worldwide Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Slang Worldwide's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Slang Worldwide's standard deviation. In reality, there are many statistical measures that can use Slang Worldwide historical prices to predict the future Slang Worldwide's volatility.Risk Adjusted Performance | 0.0689 | |||
Jensen Alpha | 3.07 | |||
Total Risk Alpha | (2.78) | |||
Sortino Ratio | 0.0992 | |||
Treynor Ratio | (0.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Slang Worldwide'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.
Slang Worldwide Backtested Returns
Slang Worldwide is out of control given 3 months investment horizon. Slang Worldwide owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0902, which indicates the firm had a 0.0902% return per unit of risk over the last 3 months. We are able to interpolate and break down thirty different technical indicators, which can help you to evaluate if expected returns of 3.09% are justified by taking the suggested risk. Use Slang Worldwide Risk Adjusted Performance of 0.0689, coefficient of variation of 1297.83, and Semi Deviation of 19.71 to evaluate company specific risk that cannot be diversified away. Slang Worldwide holds a performance score of 7 on a scale of zero to a hundred. The entity has a beta of -3.58, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Slang Worldwide are expected to decrease by larger amounts. On the other hand, during market turmoil, Slang Worldwide is expected to outperform it. Use Slang Worldwide jensen alpha, skewness, relative strength index, as well as the relationship between the value at risk and day median price , to analyze future returns on Slang Worldwide.
Auto-correlation | -0.7 |
Very good reverse predictability
Slang Worldwide has very good reverse predictability. Overlapping area represents the amount of predictability between Slang Worldwide time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Slang Worldwide price movement. The serial correlation of -0.7 indicates that around 70.0% of current Slang Worldwide price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.7 | |
Spearman Rank Test | -0.31 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Slang Worldwide lagged returns against current returns
Autocorrelation, which is Slang Worldwide otc 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 Slang Worldwide's otc stock expected returns. We can calculate the autocorrelation of Slang Worldwide returns to help us make a trade decision. For example, suppose you find that Slang Worldwide has exhibited high autocorrelation historically, and you observe that the otc 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 |
Slang Worldwide 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 Slang Worldwide otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Slang Worldwide otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Slang Worldwide otc stock over time.
Current vs Lagged Prices |
Timeline |
Slang Worldwide Lagged Returns
When evaluating Slang Worldwide's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Slang Worldwide otc stock have on its future price. Slang Worldwide 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, Slang Worldwide autocorrelation shows the relationship between Slang Worldwide otc stock current value and its past values and can show if there is a momentum factor associated with investing in Slang Worldwide.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Slang OTC Stock
Slang Worldwide financial ratios help investors to determine whether Slang OTC 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 Slang with respect to the benefits of owning Slang Worldwide security.