Txnm Energy, Stock Market Value
| TXNM Stock | USD 49.05 0.19 0.39% |
| Symbol | TXNM |
TXNM Energy, Price To Book Ratio
Is Electric Utilities 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 TXNM Energy,. If investors know TXNM 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 TXNM Energy, 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 0.007 | Dividend Share 1.53 | Earnings Share 0.9 | Revenue Per Share 20.825 | Quarterly Revenue Growth 0.023 |
The market value of TXNM Energy, is measured differently than its book value, which is the value of TXNM that is recorded on the company's balance sheet. Investors also form their own opinion of TXNM Energy,'s value that differs from its market value or its book value, called intrinsic value, which is TXNM Energy,'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 TXNM Energy,'s market value can be influenced by many factors that don't directly affect TXNM Energy,'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 TXNM Energy,'s value and its price as these two are different measures arrived at by different means. Investors typically determine if TXNM Energy, is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TXNM Energy,'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.
TXNM Energy, '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 TXNM Energy,'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 TXNM Energy,.
| 12/09/2023 |
| 12/03/2024 |
If you would invest 0.00 in TXNM Energy, on December 9, 2023 and sell it all today you would earn a total of 0.00 from holding TXNM Energy, or generate 0.0% return on investment in TXNM Energy, over 360 days. TXNM Energy, is related to or competes with Cannae Holdings, Dine Brands, Algoma Steel, RCI Hospitality, Cracker Barrel, Rave Restaurant, and Biglari Holdings. TXNM Energy, is entity of United States. It is traded as Stock on NYSE exchange. More
TXNM Energy, 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 TXNM Energy,'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 TXNM Energy, upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8797 | |||
| Information Ratio | 0.1586 | |||
| Maximum Drawdown | 5.52 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.86 |
TXNM Energy, Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TXNM Energy,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TXNM Energy,'s standard deviation. In reality, there are many statistical measures that can use TXNM Energy, historical prices to predict the future TXNM Energy,'s volatility.| Risk Adjusted Performance | 0.2125 | |||
| Jensen Alpha | 0.2643 | |||
| Total Risk Alpha | 0.1239 | |||
| Sortino Ratio | 0.1934 | |||
| Treynor Ratio | 1.62 |
TXNM Energy, Backtested Returns
TXNM Energy, appears to be very steady, given 3 months investment horizon. TXNM Energy, owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.26, which indicates the firm had a 0.26% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for TXNM Energy,, which you can use to evaluate the volatility of the company. Please review TXNM Energy,'s coefficient of variation of 364.43, and Risk Adjusted Performance of 0.2125 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, TXNM Energy, holds a performance score of 20. The entity has a beta of 0.18, which indicates not very significant fluctuations relative to the market. As returns on the market increase, TXNM Energy,'s returns are expected to increase less than the market. However, during the bear market, the loss of holding TXNM Energy, is expected to be smaller as well. Please check TXNM Energy,'s value at risk, as well as the relationship between the skewness and day median price , to make a quick decision on whether TXNM Energy,'s existing price patterns will revert.
Auto-correlation | -0.34 |
Poor reverse predictability
TXNM Energy, has poor reverse predictability. Overlapping area represents the amount of predictability between TXNM Energy, time series from 9th of December 2023 to 6th of June 2024 and 6th of June 2024 to 3rd of December 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 TXNM Energy, price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current TXNM Energy, price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 11.87 |
TXNM Energy, lagged returns against current returns
Autocorrelation, which is TXNM Energy, 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 TXNM Energy,'s stock expected returns. We can calculate the autocorrelation of TXNM Energy, returns to help us make a trade decision. For example, suppose you find that TXNM Energy, 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 |
TXNM Energy, 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 TXNM Energy, stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TXNM Energy, stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TXNM Energy, stock over time.
Current vs Lagged Prices |
| Timeline |
TXNM Energy, Lagged Returns
When evaluating TXNM Energy,'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TXNM Energy, stock have on its future price. TXNM Energy, 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, TXNM Energy, autocorrelation shows the relationship between TXNM Energy, stock current value and its past values and can show if there is a momentum factor associated with investing in TXNM Energy,.
Regressed Prices |
| Timeline |
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TXNM Energy, 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.