Thinkific Labs Stock Market Value
| THNC Stock | CAD 2.59 0.03 1.15% |
| Symbol | Thinkific |
Thinkific Labs Price To Book Ratio
Thinkific Labs '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 Thinkific Labs' 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 Thinkific Labs.
| 09/21/2024 |
| 10/21/2024 |
If you would invest 0.00 in Thinkific Labs on September 21, 2024 and sell it all today you would earn a total of 0.00 from holding Thinkific Labs or generate 0.0% return on investment in Thinkific Labs over 30 days. Thinkific Labs is related to or competes with Queens Road, CVW CleanTech, Northstar Clean, Primaris Retail, Salesforce, Evertz Technologies, and Maple Leaf. Thinkific Labs Inc. develops, markets, and supports cloud-based platform in Canada, the United States, and international... More
Thinkific Labs 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 Thinkific Labs' 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 Thinkific Labs upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 14.71 | |||
| Value At Risk | (5.59) | |||
| Potential Upside | 4.67 |
Thinkific Labs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Thinkific Labs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Thinkific Labs' standard deviation. In reality, there are many statistical measures that can use Thinkific Labs historical prices to predict the future Thinkific Labs' volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.47) | |||
| Total Risk Alpha | (0.81) | |||
| Treynor Ratio | (1.70) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Thinkific Labs' 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.
Thinkific Labs Backtested Returns
Thinkific Labs owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12% return per unit of risk over the last 3 months. Thinkific Labs exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Thinkific Labs' Variance of 10.53, coefficient of variation of (741.25), and Risk Adjusted Performance of (0.1) to confirm the risk estimate we provide. The entity has a beta of 0.26, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Thinkific Labs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Thinkific Labs is expected to be smaller as well. At this point, Thinkific Labs has a negative expected return of -0.37%. Please make sure to validate Thinkific Labs' total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Thinkific Labs performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.06 |
Virtually no predictability
Thinkific Labs has virtually no predictability. Overlapping area represents the amount of predictability between Thinkific Labs time series from 21st of September 2024 to 6th of October 2024 and 6th of October 2024 to 21st of October 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 Thinkific Labs price movement. The serial correlation of 0.06 indicates that barely 6.0% of current Thinkific Labs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Thinkific Labs lagged returns against current returns
Autocorrelation, which is Thinkific Labs 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 Thinkific Labs' stock expected returns. We can calculate the autocorrelation of Thinkific Labs returns to help us make a trade decision. For example, suppose you find that Thinkific Labs 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 |
Thinkific Labs 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 Thinkific Labs stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Thinkific Labs stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Thinkific Labs stock over time.
Current vs Lagged Prices |
| Timeline |
Thinkific Labs Lagged Returns
When evaluating Thinkific Labs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Thinkific Labs stock have on its future price. Thinkific Labs 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, Thinkific Labs autocorrelation shows the relationship between Thinkific Labs stock current value and its past values and can show if there is a momentum factor associated with investing in Thinkific Labs.
Regressed Prices |
| Timeline |
Pair Trading with Thinkific Labs
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Thinkific Labs position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Thinkific Labs will appreciate offsetting losses from the drop in the long position's value.Moving against Thinkific Stock
The ability to find closely correlated positions to Thinkific Labs could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Thinkific Labs when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Thinkific Labs - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Thinkific Labs to buy it.
The correlation of Thinkific Labs is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Thinkific Labs moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Thinkific Labs moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Thinkific Labs can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Thinkific Stock
Thinkific Labs financial ratios help investors to determine whether Thinkific 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 Thinkific with respect to the benefits of owning Thinkific Labs security.