Thomson Reuters Corp Stock Market Value
| TRI Stock | CAD 236.87 7.43 3.24% |
| Symbol | Thomson |
Thomson Reuters Corp Price To Book Ratio
Thomson Reuters '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 Thomson Reuters' 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 Thomson Reuters.
| 10/07/2024 |
| 11/06/2024 |
If you would invest 0.00 in Thomson Reuters on October 7, 2024 and sell it all today you would earn a total of 0.00 from holding Thomson Reuters Corp or generate 0.0% return on investment in Thomson Reuters over 30 days. Thomson Reuters is related to or competes with George Weston, Waste Connections, S A P, Toromont Industries, and Intact Financial. Thomson Reuters Corporation provides news and business information services to professionals in the United States, Other... More
Thomson Reuters 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 Thomson Reuters' 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 Thomson Reuters Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8663 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 4.76 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.89 |
Thomson Reuters Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Thomson Reuters' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Thomson Reuters' standard deviation. In reality, there are many statistical measures that can use Thomson Reuters historical prices to predict the future Thomson Reuters' volatility.| Risk Adjusted Performance | 0.0839 | |||
| Jensen Alpha | 0.0844 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.5601 |
Thomson Reuters Corp Backtested Returns
As of now, Thomson Stock is very steady. Thomson Reuters Corp 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 Thomson Reuters Corp, which you can use to evaluate the volatility of the company. Please validate Thomson Reuters' Semi Deviation of 0.7226, risk adjusted performance of 0.0839, and Coefficient Of Variation of 828.01 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Thomson Reuters has a performance score of 10 on a scale of 0 to 100. The entity has a beta of 0.19, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Thomson Reuters' returns are expected to increase less than the market. However, during the bear market, the loss of holding Thomson Reuters is expected to be smaller as well. Thomson Reuters Corp right now has a risk of 0.98%. Please validate Thomson Reuters semi variance, and the relationship between the maximum drawdown and accumulation distribution , to decide if Thomson Reuters will be following its existing price patterns.
Auto-correlation | -0.06 |
Very weak reverse predictability
Thomson Reuters Corp has very weak reverse predictability. Overlapping area represents the amount of predictability between Thomson Reuters time series from 7th of October 2024 to 22nd of October 2024 and 22nd of October 2024 to 6th of November 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 Thomson Reuters Corp price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Thomson Reuters price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 4.8 |
Thomson Reuters Corp lagged returns against current returns
Autocorrelation, which is Thomson Reuters 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 Thomson Reuters' stock expected returns. We can calculate the autocorrelation of Thomson Reuters returns to help us make a trade decision. For example, suppose you find that Thomson Reuters 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 |
Thomson Reuters 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 Thomson Reuters stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Thomson Reuters stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Thomson Reuters stock over time.
Current vs Lagged Prices |
| Timeline |
Thomson Reuters Lagged Returns
When evaluating Thomson Reuters' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Thomson Reuters stock have on its future price. Thomson Reuters 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, Thomson Reuters autocorrelation shows the relationship between Thomson Reuters stock current value and its past values and can show if there is a momentum factor associated with investing in Thomson Reuters Corp.
Regressed Prices |
| Timeline |
Pair Trading with Thomson Reuters
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 Thomson Reuters 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 Thomson Reuters will appreciate offsetting losses from the drop in the long position's value.Moving together with Thomson Stock
The ability to find closely correlated positions to Thomson Reuters could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Thomson Reuters 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 Thomson Reuters - 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 Thomson Reuters Corp to buy it.
The correlation of Thomson Reuters 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 Thomson Reuters moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Thomson Reuters Corp 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 Thomson Reuters 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 Thomson Reuters Correlation, Thomson Reuters Volatility and Thomson Reuters Alpha and Beta module to complement your research on Thomson Reuters. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Thomson Reuters 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.