Lobe Sciences Stock Market Value
| LOBEF Stock | USD 0 0.0003 20.00% |
| Symbol | Lobe |
Lobe Sciences '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 Lobe Sciences' 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 Lobe Sciences.
| 11/18/2024 |
| 12/18/2024 |
If you would invest 0.00 in Lobe Sciences on November 18, 2024 and sell it all today you would earn a total of 0.00 from holding Lobe Sciences or generate 0.0% return on investment in Lobe Sciences over 30 days. Lobe Sciences is related to or competes with C21 Investments, Ascend Wellness, and Grey Cloak. Lobe Sciences Ltd., a life sciences company, focuses on the research and development of psychedelic medicines More
Lobe Sciences 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 Lobe Sciences' 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 Lobe Sciences upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 48.43 | |||
| Information Ratio | 0.3034 | |||
| Maximum Drawdown | 1266.55 | |||
| Value At Risk | (90.40) | |||
| Potential Upside | 892.31 |
Lobe Sciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lobe Sciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lobe Sciences' standard deviation. In reality, there are many statistical measures that can use Lobe Sciences historical prices to predict the future Lobe Sciences' volatility.| Risk Adjusted Performance | 0.23 | |||
| Jensen Alpha | 91.85 | |||
| Total Risk Alpha | 66.44 | |||
| Sortino Ratio | 1.86 | |||
| Treynor Ratio | (2.91) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lobe Sciences' 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.
Lobe Sciences Backtested Returns
Lobe Sciences is out of control given 3 months investment horizon. Lobe Sciences has Sharpe Ratio of 0.29, which conveys that the firm had a 0.29% return per unit of risk 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 76.0% are justified by taking the suggested risk. Use Lobe Sciences Downside Deviation of 48.43, risk adjusted performance of 0.23, and Mean Deviation of 178.25 to evaluate company specific risk that cannot be diversified away. Lobe Sciences holds a performance score of 22 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -30.96, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Lobe Sciences are expected to decrease by larger amounts. On the other hand, during market turmoil, Lobe Sciences is expected to outperform it. Use Lobe Sciences treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to analyze future returns on Lobe Sciences.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Lobe Sciences has insignificant reverse predictability. Overlapping area represents the amount of predictability between Lobe Sciences time series from 18th of November 2024 to 3rd of December 2024 and 3rd of December 2024 to 18th 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 Lobe Sciences price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Lobe Sciences price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Lobe Sciences lagged returns against current returns
Autocorrelation, which is Lobe Sciences 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 Lobe Sciences' otc stock expected returns. We can calculate the autocorrelation of Lobe Sciences returns to help us make a trade decision. For example, suppose you find that Lobe Sciences 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 |
Lobe Sciences 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 Lobe Sciences otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lobe Sciences otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lobe Sciences otc stock over time.
Current vs Lagged Prices |
| Timeline |
Lobe Sciences Lagged Returns
When evaluating Lobe Sciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lobe Sciences otc stock have on its future price. Lobe Sciences 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, Lobe Sciences autocorrelation shows the relationship between Lobe Sciences otc stock current value and its past values and can show if there is a momentum factor associated with investing in Lobe Sciences.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Lobe OTC Stock
Lobe Sciences financial ratios help investors to determine whether Lobe 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 Lobe with respect to the benefits of owning Lobe Sciences security.