Tekla Healthcare Investors Stock Market Value
| HQH Stock | USD 15.78 0.30 1.87% |
| Symbol | Tekla |
Tekla Healthcare Inv Price To Book Ratio
Is Tekla Healthcare's industry 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 Healthcare. 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 Healthcare 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 (0.67) | Dividend Share 1.61 | Earnings Share 1.09 | Revenue Per Share 0.208 | Quarterly Revenue Growth 0.081 |
The market value of Tekla Healthcare Inv 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 Healthcare's value that differs from its market value or its book value, called intrinsic value, which is Tekla Healthcare'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 Healthcare's market value can be influenced by many factors that don't directly affect Tekla Healthcare'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 Healthcare's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tekla Healthcare is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tekla Healthcare'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 Healthcare '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 Healthcare'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 Healthcare.
| 02/19/2024 |
| 04/19/2024 |
If you would invest 0.00 in Tekla Healthcare on February 19, 2024 and sell it all today you would earn a total of 0.00 from holding Tekla Healthcare Investors or generate 0.0% return on investment in Tekla Healthcare over 60 days. Tekla Healthcare is related to or competes with Tekla Healthcare, Eaton Vance, Tekla World, Cohen Steers, Tekla Life, Cohen Steers, and XAI Octagon. Tekla Healthcare Investors is a closed-ended equity mutual fund launched and managed by Tekla Capital Management LLC More
Tekla Healthcare 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 Healthcare'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 Healthcare Investors upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 3.68 | |||
| Value At Risk | (1.68) | |||
| Potential Upside | 1.2 |
Tekla Healthcare Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tekla Healthcare's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tekla Healthcare's standard deviation. In reality, there are many statistical measures that can use Tekla Healthcare historical prices to predict the future Tekla Healthcare's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tekla Healthcare'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.
Tekla Healthcare Inv Backtested Returns
Tekla Healthcare Inv owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the firm had a -0.1% return per unit of risk over the last 3 months. Tekla Healthcare Investors exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tekla Healthcare's Variance of 0.6466, risk adjusted performance of (0.07), and Coefficient Of Variation of (903.94) to confirm the risk estimate we provide. The entity has a beta of 0.78, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Tekla Healthcare's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tekla Healthcare is expected to be smaller as well. Tekla Healthcare Inv has an expected return of -0.087%. Please make sure to validate Tekla Healthcare treynor ratio, as well as the relationship between the kurtosis and day median price , to decide if Tekla Healthcare Inv performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.72 |
Good predictability
Tekla Healthcare Investors has good predictability. Overlapping area represents the amount of predictability between Tekla Healthcare time series from 19th of February 2024 to 20th of March 2024 and 20th of March 2024 to 19th 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 Tekla Healthcare Inv price movement. The serial correlation of 0.72 indicates that around 72.0% of current Tekla Healthcare price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Tekla Healthcare Inv lagged returns against current returns
Autocorrelation, which is Tekla Healthcare 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 Healthcare's stock expected returns. We can calculate the autocorrelation of Tekla Healthcare returns to help us make a trade decision. For example, suppose you find that Tekla Healthcare 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 Healthcare 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 Healthcare stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tekla Healthcare stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tekla Healthcare stock over time.
Current vs Lagged Prices |
| Timeline |
Tekla Healthcare Lagged Returns
When evaluating Tekla Healthcare's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tekla Healthcare stock have on its future price. Tekla Healthcare 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 Healthcare autocorrelation shows the relationship between Tekla Healthcare stock current value and its past values and can show if there is a momentum factor associated with investing in Tekla Healthcare Investors.
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 Tekla Healthcare 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, Tekla Healthcare's short interest history, or implied volatility extrapolated from Tekla Healthcare options trading.
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Complementary Tools for Tekla Stock analysis
When running Tekla Healthcare's price analysis, check to measure Tekla Healthcare'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 Tekla Healthcare is operating at the current time. Most of Tekla Healthcare's value examination focuses on studying past and present price action to predict the probability of Tekla Healthcare's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tekla Healthcare's price. Additionally, you may evaluate how the addition of Tekla Healthcare to your portfolios can decrease your overall portfolio volatility.
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Tekla Healthcare 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.