1933 Industries Stock Market Value
| TGIFF Stock | USD 0.01 0.0009 20.45% |
| Symbol | 1933 |
1933 Industries '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 1933 Industries' 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 1933 Industries.
| 11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in 1933 Industries on November 13, 2024 and sell it all today you would earn a total of 0.00 from holding 1933 Industries or generate 0.0% return on investment in 1933 Industries over 30 days. 1933 Industries is related to or competes with Bionoid Pharma, HLS Therapeutics, Crescita Therapeutics, Sonoma Pharmaceuticals, Durect, Green Thumb, and Tilray. 1933 Industries Inc., a cannabis company, engages in the cultivation and production of medical marijuana in the United S... More
1933 Industries 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 1933 Industries' 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 1933 Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 14.22 | |||
| Information Ratio | 0.0135 | |||
| Maximum Drawdown | 96.98 | |||
| Value At Risk | (21.05) | |||
| Potential Upside | 25.0 |
1933 Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 1933 Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 1933 Industries' standard deviation. In reality, there are many statistical measures that can use 1933 Industries historical prices to predict the future 1933 Industries' volatility.| Risk Adjusted Performance | 0.0246 | |||
| Jensen Alpha | 0.398 | |||
| Total Risk Alpha | (1.87) | |||
| Sortino Ratio | 0.0148 | |||
| Treynor Ratio | (0.37) |
1933 Industries Backtested Returns
1933 Industries appears to be out of control, given 3 months investment horizon. 1933 Industries retains Efficiency (Sharpe Ratio) of 0.0368, which signifies that the company had a 0.0368% return per unit of price deviation over the last 3 months. By evaluating 1933 Industries' technical indicators, you can evaluate if the expected return of 0.56% is justified by implied risk. Please makes use of 1933 Industries' Coefficient Of Variation of 4825.98, market risk adjusted performance of (0.36), and Standard Deviation of 15.55 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, 1933 Industries holds a performance score of 2. The firm owns a Beta (Systematic Risk) of -0.84, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning 1933 Industries are expected to decrease at a much lower rate. During the bear market, 1933 Industries is likely to outperform the market. Please check 1933 Industries' treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to make a quick decision on whether 1933 Industries' current price history will revert.
Auto-correlation | 0.56 |
Modest predictability
1933 Industries has modest predictability. Overlapping area represents the amount of predictability between 1933 Industries time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th 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 1933 Industries price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current 1933 Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
1933 Industries lagged returns against current returns
Autocorrelation, which is 1933 Industries 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 1933 Industries' otc stock expected returns. We can calculate the autocorrelation of 1933 Industries returns to help us make a trade decision. For example, suppose you find that 1933 Industries 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 |
1933 Industries 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 1933 Industries otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 1933 Industries otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 1933 Industries otc stock over time.
Current vs Lagged Prices |
| Timeline |
1933 Industries Lagged Returns
When evaluating 1933 Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 1933 Industries otc stock have on its future price. 1933 Industries 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, 1933 Industries autocorrelation shows the relationship between 1933 Industries otc stock current value and its past values and can show if there is a momentum factor associated with investing in 1933 Industries.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in 1933 OTC Stock
1933 Industries financial ratios help investors to determine whether 1933 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 1933 with respect to the benefits of owning 1933 Industries security.