Tekla Life Sciences Stock Market Value
| HQL Stock | USD 14.13 0.21 1.51% |
| Symbol | Tekla |
Tekla Life Sciences Price To Book Ratio
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Tekla Life. If investors know Tekla will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Tekla Life listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.425 | Dividend Share 1.3 | Earnings Share 1.34 | Revenue Per Share 0.134 | Quarterly Revenue Growth 0.07 |
The market value of Tekla Life Sciences is measured differently than its book value, which is the value of Tekla that is recorded on the company's balance sheet. Investors also form their own opinion of Tekla Life's value that differs from its market value or its book value, called intrinsic value, which is Tekla Life's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Tekla Life's market value can be influenced by many factors that don't directly affect Tekla Life's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Tekla Life's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tekla Life is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tekla Life's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Tekla Life '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 Tekla Life's 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 Tekla Life.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Tekla Life on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Tekla Life Sciences or generate 0.0% return on investment in Tekla Life over 30 days. Tekla Life is related to or competes with Tekla World, Tekla Healthcare, Royce Value, John Hancock, Tekla Healthcare, Flaherty, and Cohen. Tekla Life Sciences Investors is a closed-ended equity mutual fund launched and managed by Tekla Capital Management LLC More
Tekla Life 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 Tekla Life's 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 Tekla Life Sciences upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 6.65 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 1.51 |
Tekla Life Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tekla Life's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tekla Life's standard deviation. In reality, there are many statistical measures that can use Tekla Life historical prices to predict the future Tekla Life's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.09) |
Tekla Life Sciences Backtested Returns
Tekla Life Sciences owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0183, which indicates the firm had a -0.0183% return per unit of risk over the last 3 months. Tekla Life Sciences exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tekla Life's Coefficient Of Variation of (2,275), risk adjusted performance of (0.03), and Variance of 1.4 to confirm the risk estimate we provide. The entity has a beta of 0.72, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Tekla Life's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tekla Life is expected to be smaller as well. At this point, Tekla Life Sciences has a negative expected return of -0.0219%. Please make sure to validate Tekla Life's value at risk, as well as the relationship between the daily balance of power and price action indicator , to decide if Tekla Life Sciences performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.52 |
Modest predictability
Tekla Life Sciences has modest predictability. Overlapping area represents the amount of predictability between Tekla Life time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Tekla Life Sciences price movement. The serial correlation of 0.52 indicates that about 52.0% of current Tekla Life price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Tekla Life Sciences lagged returns against current returns
Autocorrelation, which is Tekla Life 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 Tekla Life's stock expected returns. We can calculate the autocorrelation of Tekla Life returns to help us make a trade decision. For example, suppose you find that Tekla Life has exhibited high autocorrelation historically, and you observe that the 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 |
Tekla Life 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 Tekla Life stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tekla Life stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tekla Life stock over time.
Current vs Lagged Prices |
| Timeline |
Tekla Life Lagged Returns
When evaluating Tekla Life's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tekla Life stock have on its future price. Tekla Life 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, Tekla Life autocorrelation shows the relationship between Tekla Life stock current value and its past values and can show if there is a momentum factor associated with investing in Tekla Life Sciences.
Regressed Prices |
| Timeline |
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Tekla Life technical 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, stock market cycles, or different charting patterns.