The Travelers Companies Stock Market Value
| TRV Stock | USD 206.58 16.54 7.41% |
| Symbol | Travelers |
The Travelers Companies Price To Book Ratio
Is Travelers Companies' 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 Travelers Companies. If investors know Travelers 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 Travelers Companies 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 1.032 | Dividend Share 3.93 | Earnings Share 12.78 | Revenue Per Share 180.078 | Quarterly Revenue Growth 0.134 |
The market value of The Travelers Companies is measured differently than its book value, which is the value of Travelers that is recorded on the company's balance sheet. Investors also form their own opinion of Travelers Companies' value that differs from its market value or its book value, called intrinsic value, which is Travelers Companies' 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 Travelers Companies' market value can be influenced by many factors that don't directly affect Travelers Companies' 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 Travelers Companies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Travelers Companies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Travelers Companies' 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.
Travelers Companies '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 Travelers Companies' 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 Travelers Companies.
| 07/22/2023 |
| 04/17/2024 |
If you would invest 0.00 in Travelers Companies on July 22, 2023 and sell it all today you would earn a total of 0.00 from holding The Travelers Companies or generate 0.0% return on investment in Travelers Companies over 270 days. Travelers Companies is related to or competes with Thrivent High, Morningstar Unconstrained, T Rowe, and 70082LAB3. The Travelers Companies, Inc., through its subsidiaries, provides a range of commercial and personal property, and casua... More
Travelers Companies 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 Travelers Companies' 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 The Travelers Companies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.33 | |||
| Information Ratio | 0.031 | |||
| Maximum Drawdown | 9.64 | |||
| Value At Risk | (2.03) | |||
| Potential Upside | 2.02 |
Travelers Companies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Travelers Companies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Travelers Companies' standard deviation. In reality, there are many statistical measures that can use Travelers Companies historical prices to predict the future Travelers Companies' volatility.| Risk Adjusted Performance | 0.0436 | |||
| Jensen Alpha | 0.042 | |||
| Total Risk Alpha | 0.0404 | |||
| Sortino Ratio | 0.0309 | |||
| Treynor Ratio | 0.0708 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Travelers Companies' 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.
The Travelers Companies Backtested Returns
We consider Travelers Companies very steady. The Travelers Companies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0383, which indicates the firm had a 0.0383% return per unit of risk over the last 24 months. We have found twenty-nine technical indicators for The Travelers Companies, which you can use to evaluate the volatility of the company. Please validate Travelers Companies' Semi Deviation of 1.29, coefficient of variation of 2475.94, and Risk Adjusted Performance of 0.0436 to confirm if the risk estimate we provide is consistent with the expected return of 0.052%. Travelers Companies has a performance score of 2 on a scale of 0 to 100. The entity has a beta of 0.61, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Travelers Companies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Travelers Companies is expected to be smaller as well. The Travelers Companies right now has a risk of 1.36%. Please validate Travelers Companies sortino ratio, as well as the relationship between the semi variance and rate of daily change , to decide if Travelers Companies will be following its existing price patterns.
Auto-correlation | 0.16 |
Very weak predictability
The Travelers Companies has very weak predictability. Overlapping area represents the amount of predictability between Travelers Companies time series from 22nd of July 2023 to 4th of December 2023 and 4th of December 2023 to 17th 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 The Travelers Companies price movement. The serial correlation of 0.16 indicates that over 16.0% of current Travelers Companies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 257.78 |
The Travelers Companies lagged returns against current returns
Autocorrelation, which is Travelers Companies 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 Travelers Companies' stock expected returns. We can calculate the autocorrelation of Travelers Companies returns to help us make a trade decision. For example, suppose you find that Travelers Companies 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 |
Travelers Companies 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 Travelers Companies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Travelers Companies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Travelers Companies stock over time.
Current vs Lagged Prices |
| Timeline |
Travelers Companies Lagged Returns
When evaluating Travelers Companies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Travelers Companies stock have on its future price. Travelers Companies 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, Travelers Companies autocorrelation shows the relationship between Travelers Companies stock current value and its past values and can show if there is a momentum factor associated with investing in The Travelers Companies.
Regressed Prices |
| Timeline |
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Check out Travelers Companies Correlation, Travelers Companies Volatility and Travelers Companies Alpha and Beta module to complement your research on Travelers Companies. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Complementary Tools for Travelers Stock analysis
When running Travelers Companies' price analysis, check to measure Travelers Companies' 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 Travelers Companies is operating at the current time. Most of Travelers Companies' value examination focuses on studying past and present price action to predict the probability of Travelers Companies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Travelers Companies' price. Additionally, you may evaluate how the addition of Travelers Companies to your portfolios can decrease your overall portfolio volatility.
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Travelers Companies 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.