1933 Industries Stock Market Value
| TGIFF Stock | USD 0.01 0 9.03% |
| 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.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in 1933 Industries on April 5, 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 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 | 14.73 | |||
| Information Ratio | 0.1142 | |||
| Maximum Drawdown | 79.52 | |||
| Value At Risk | (19.19) | |||
| Potential Upside | 30.0 |
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 | 0.0852 | |||
| Jensen Alpha | 1.81 | |||
| Total Risk Alpha | 0.1292 | |||
| Sortino Ratio | 0.1094 | |||
| Treynor Ratio | (0.92) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 1933 Industries' 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.
1933 Industries Backtested Returns
1933 Industries is out of control given 3 months investment horizon. 1933 Industries retains Efficiency (Sharpe Ratio) of 0.0975, which signifies that the company had a 0.0975% return per unit of price deviation over the last 3 months. We were able to analyze and collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.35% are justified by taking the suggested risk. Use 1933 Industries Standard Deviation of 14.12, coefficient of variation of 834.52, and Market Risk Adjusted Performance of (0.91) to evaluate company specific risk that cannot be diversified away. 1933 Industries holds a performance score of 7 on a scale of zero to a hundred. The firm owns a Beta (Systematic Risk) of -1.83, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning 1933 Industries are expected to decrease by larger amounts. On the other hand, during market turmoil, 1933 Industries is expected to outperform it. Use 1933 Industries treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to analyze future returns on 1933 Industries.
Auto-correlation | -0.23 |
Weak reverse predictability
1933 Industries has weak reverse predictability. Overlapping area represents the amount of predictability between 1933 Industries time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th of May 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 -0.23 indicates that over 23.0% of current 1933 Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.21 | |
| 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 |
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 1933 Industries 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, 1933 Industries' short interest history, or implied volatility extrapolated from 1933 Industries options trading.
Currently Active Assets on Macroaxis
Check out 1933 Industries Correlation, 1933 Industries Volatility and 1933 Industries Alpha and Beta module to complement your research on 1933 Industries. Note that the 1933 Industries information on this page should be used as a complementary analysis to other 1933 Industries' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Complementary Tools for 1933 OTC Stock analysis
When running 1933 Industries' price analysis, check to measure 1933 Industries' 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 1933 Industries is operating at the current time. Most of 1933 Industries' value examination focuses on studying past and present price action to predict the probability of 1933 Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 1933 Industries' price. Additionally, you may evaluate how the addition of 1933 Industries to your portfolios can decrease your overall portfolio volatility.
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1933 Industries technical otc stock 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, otc market cycles, or different charting patterns.