Tenet Fintech Group Stock Market Value
| PKKFF Stock | USD 0.08 0.01 9.72% |
| Symbol | Tenet |
Tenet Fintech '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 Tenet Fintech's pink sheet 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 Tenet Fintech.
| 10/27/2023 |
| 04/24/2024 |
If you would invest 0.00 in Tenet Fintech on October 27, 2023 and sell it all today you would earn a total of 0.00 from holding Tenet Fintech Group or generate 0.0% return on investment in Tenet Fintech over 180 days. Tenet Fintech is related to or competes with NCino, Thinkific Labs, Dassault Systemes, Snowflake, Zoom Video, and Shopify. Tenet Fintech Group Inc., through its subsidiaries, operates in the commercial lending industry in China More
Tenet Fintech 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 Tenet Fintech's pink sheet 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 Tenet Fintech Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 36.36 | |||
| Value At Risk | (11.63) | |||
| Potential Upside | 13.11 |
Tenet Fintech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tenet Fintech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tenet Fintech's standard deviation. In reality, there are many statistical measures that can use Tenet Fintech historical prices to predict the future Tenet Fintech's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.53) | |||
| Total Risk Alpha | (1.38) | |||
| Treynor Ratio | (0.21) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tenet Fintech'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.
Tenet Fintech Group Backtested Returns
Tenet Fintech Group owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0448, which indicates the firm had a -0.0448% return per unit of risk over the last 3 months. Tenet Fintech Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tenet Fintech's Risk Adjusted Performance of (0.02), coefficient of variation of (1,956), and Variance of 52.78 to confirm the risk estimate we provide. The entity has a beta of 1.78, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Tenet Fintech will likely underperform. Tenet Fintech Group has an expected return of -0.3%. Please make sure to validate Tenet Fintech value at risk and the relationship between the kurtosis and market facilitation index , to decide if Tenet Fintech Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.58 |
Modest predictability
Tenet Fintech Group has modest predictability. Overlapping area represents the amount of predictability between Tenet Fintech time series from 27th of October 2023 to 25th of January 2024 and 25th of January 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 Tenet Fintech Group price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Tenet Fintech price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Tenet Fintech Group lagged returns against current returns
Autocorrelation, which is Tenet Fintech pink sheet'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 Tenet Fintech's pink sheet expected returns. We can calculate the autocorrelation of Tenet Fintech returns to help us make a trade decision. For example, suppose you find that Tenet Fintech has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Tenet Fintech 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 Tenet Fintech pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tenet Fintech pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tenet Fintech pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Tenet Fintech Lagged Returns
When evaluating Tenet Fintech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tenet Fintech pink sheet have on its future price. Tenet Fintech 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, Tenet Fintech autocorrelation shows the relationship between Tenet Fintech pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Tenet Fintech Group.
Regressed Prices |
| Timeline |
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Check out Tenet Fintech Correlation, Tenet Fintech Volatility and Tenet Fintech Alpha and Beta module to complement your research on Tenet Fintech. Note that the Tenet Fintech Group information on this page should be used as a complementary analysis to other Tenet Fintech's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Complementary Tools for Tenet Pink Sheet analysis
When running Tenet Fintech's price analysis, check to measure Tenet Fintech'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 Tenet Fintech is operating at the current time. Most of Tenet Fintech's value examination focuses on studying past and present price action to predict the probability of Tenet Fintech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tenet Fintech's price. Additionally, you may evaluate how the addition of Tenet Fintech to your portfolios can decrease your overall portfolio volatility.
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Tenet Fintech technical pink sheet 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, pink sheet market cycles, or different charting patterns.