Living Cell Technologies Stock Market Value
| LVCLY Stock | USD 0.04 0.01 20.00% |
| Symbol | Living |
Living Cell '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 Living Cell'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 Living Cell.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Living Cell on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Living Cell Technologies or generate 0.0% return on investment in Living Cell over 30 days. Living Cell is related to or competes with HUMANA, Barloworld, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. Living Cell Technologies Limited, a biotechnology company, discovers, develops, and commercializes regenerative treatmen... More
Living Cell 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 Living Cell'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 Living Cell Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0585 | |||
| Maximum Drawdown | 86.67 | |||
| Value At Risk | (20.00) | |||
| Potential Upside | 25.0 |
Living Cell Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Living Cell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Living Cell's standard deviation. In reality, there are many statistical measures that can use Living Cell historical prices to predict the future Living Cell's volatility.| Risk Adjusted Performance | 0.0502 | |||
| Jensen Alpha | 1.22 | |||
| Total Risk Alpha | (1.04) | |||
| Treynor Ratio | (0.26) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Living Cell'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.
Living Cell Technologies Backtested Returns
Living Cell appears to be out of control, given 3 months investment horizon. Living Cell Technologies has Sharpe Ratio of 0.0666, which conveys that the firm had a 0.0666% return per unit of risk over the last 3 months. By analyzing Living Cell's technical indicators, you can evaluate if the expected return of 0.98% is justified by implied risk. Please exercise Living Cell's Mean Deviation of 5.92, standard deviation of 14.35, and Risk Adjusted Performance of 0.0502 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Living Cell holds a performance score of 5. The company secures a Beta (Market Risk) of -3.52, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Living Cell are expected to decrease by larger amounts. On the other hand, during market turmoil, Living Cell is expected to outperform it. Please check Living Cell's value at risk and rate of daily change , to make a quick decision on whether Living Cell's current price movements will revert.
Auto-correlation | 0.27 |
Poor predictability
Living Cell Technologies has poor predictability. Overlapping area represents the amount of predictability between Living Cell time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Living Cell Technologies price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Living Cell price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.95 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Living Cell Technologies lagged returns against current returns
Autocorrelation, which is Living Cell 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 Living Cell's otc stock expected returns. We can calculate the autocorrelation of Living Cell returns to help us make a trade decision. For example, suppose you find that Living Cell 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 |
Living Cell 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 Living Cell otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Living Cell otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Living Cell otc stock over time.
Current vs Lagged Prices |
| Timeline |
Living Cell Lagged Returns
When evaluating Living Cell's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Living Cell otc stock have on its future price. Living Cell 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, Living Cell autocorrelation shows the relationship between Living Cell otc stock current value and its past values and can show if there is a momentum factor associated with investing in Living Cell Technologies.
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 Living Cell 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, Living Cell's short interest history, or implied volatility extrapolated from Living Cell options trading.
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Complementary Tools for Living OTC Stock analysis
When running Living Cell's price analysis, check to measure Living Cell's 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 Living Cell is operating at the current time. Most of Living Cell's value examination focuses on studying past and present price action to predict the probability of Living Cell's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Living Cell's price. Additionally, you may evaluate how the addition of Living Cell to your portfolios can decrease your overall portfolio volatility.
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Living Cell 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.