Triumph Financial Stock Market Value
| TFIN Stock | 70.73 0.03 0.04% |
| Symbol | Triumph |
Is Regional 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 Triumph Financial. If investors know Triumph 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 Triumph Financial 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 (0.80) | Earnings Share 0.28 | Revenue Per Share | Quarterly Revenue Growth 0.03 | Return On Assets |
The market value of Triumph Financial is measured differently than its book value, which is the value of Triumph that is recorded on the company's balance sheet. Investors also form their own opinion of Triumph Financial's value that differs from its market value or its book value, called intrinsic value, which is Triumph Financial'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 Triumph Financial's market value can be influenced by many factors that don't directly affect Triumph Financial'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 Triumph Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Triumph Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Triumph Financial'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.
Triumph Financial '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 Triumph Financial'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 Triumph Financial.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Triumph Financial on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Triumph Financial or generate 0.0% return on investment in Triumph Financial over 90 days. Triumph Financial is related to or competes with FirstSun Capital, CullenFrost Bankers, Preferred Bank, Origin Bancorp, Peoples Bancorp, OceanFirst Financial, and Westamerica Bancorporation. Triumph Financial is entity of United States More
Triumph Financial 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 Triumph Financial'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 Triumph Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.17 | |||
| Information Ratio | 0.1349 | |||
| Maximum Drawdown | 16.33 | |||
| Value At Risk | (3.53) | |||
| Potential Upside | 5.29 |
Triumph Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Triumph Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Triumph Financial's standard deviation. In reality, there are many statistical measures that can use Triumph Financial historical prices to predict the future Triumph Financial's volatility.| Risk Adjusted Performance | 0.1343 | |||
| Jensen Alpha | 0.2883 | |||
| Total Risk Alpha | 0.1155 | |||
| Sortino Ratio | 0.1752 | |||
| Treynor Ratio | 0.2394 |
Triumph Financial January 23, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.1343 | |||
| Market Risk Adjusted Performance | 0.2494 | |||
| Mean Deviation | 2.09 | |||
| Semi Deviation | 1.75 | |||
| Downside Deviation | 2.17 | |||
| Coefficient Of Variation | 582.0 | |||
| Standard Deviation | 2.82 | |||
| Variance | 7.96 | |||
| Information Ratio | 0.1349 | |||
| Jensen Alpha | 0.2883 | |||
| Total Risk Alpha | 0.1155 | |||
| Sortino Ratio | 0.1752 | |||
| Treynor Ratio | 0.2394 | |||
| Maximum Drawdown | 16.33 | |||
| Value At Risk | (3.53) | |||
| Potential Upside | 5.29 | |||
| Downside Variance | 4.72 | |||
| Semi Variance | 3.06 | |||
| Expected Short fall | (2.44) | |||
| Skewness | 0.8365 | |||
| Kurtosis | 1.74 |
Triumph Financial Backtested Returns
Triumph Financial appears to be very steady, given 3 months investment horizon. Triumph Financial owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Triumph Financial, which you can use to evaluate the volatility of the company. Please review Triumph Financial's Risk Adjusted Performance of 0.1343, coefficient of variation of 582.0, and Semi Deviation of 1.75 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Triumph Financial holds a performance score of 10. The entity has a beta of 1.98, 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, Triumph Financial will likely underperform. Please check Triumph Financial's semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Triumph Financial's existing price patterns will revert.
Auto-correlation | 0.32 |
Below average predictability
Triumph Financial has below average predictability. Overlapping area represents the amount of predictability between Triumph Financial time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Triumph Financial price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Triumph Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 9.79 |
Pair Trading with Triumph Financial
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 Triumph Financial 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 Triumph Financial will appreciate offsetting losses from the drop in the long position's value.Moving together with Triumph Stock
| 0.61 | BIRG | Bank of Ireland | PairCorr |
| 0.71 | WBCPM | Westpac Banking | PairCorr |
| 0.75 | NPB | Northpointe Bancshares | PairCorr |
Moving against Triumph Stock
| 0.89 | ROBOF | RoboGroup TEK | PairCorr |
| 0.85 | 601665 | Qilu Bank | PairCorr |
| 0.83 | 601658 | Postal Savings Bank | PairCorr |
| 0.78 | BETRW | Better Home Finance | PairCorr |
| 0.73 | CDIV | Cascadia Investments | PairCorr |
The ability to find closely correlated positions to Triumph Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Triumph Financial 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 Triumph Financial - 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 Triumph Financial to buy it.
The correlation of Triumph Financial 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 Triumph Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Triumph Financial 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 Triumph Financial 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.Check out Triumph Financial Correlation, Triumph Financial Volatility and Triumph Financial Alpha and Beta module to complement your research on Triumph Financial. To learn how to invest in Triumph Stock, please use our How to Invest in Triumph Financial guide.You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Triumph Financial 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.