Sohucom Stock Market Value
| SOHU Stock | USD 10.91 0.10 0.91% |
| Symbol | SohuCom |
SohuCom Price To Book Ratio
Is SohuCom's 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 SohuCom. If investors know SohuCom 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 SohuCom 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 (0.76) | Earnings Share (1.93) | Revenue Per Share 17.61 | Quarterly Revenue Growth (0.12) | Return On Assets (0.03) |
The market value of SohuCom is measured differently than its book value, which is the value of SohuCom that is recorded on the company's balance sheet. Investors also form their own opinion of SohuCom's value that differs from its market value or its book value, called intrinsic value, which is SohuCom'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 SohuCom's market value can be influenced by many factors that don't directly affect SohuCom'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 SohuCom's value and its price as these two are different measures arrived at by different means. Investors typically determine if SohuCom is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SohuCom'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.
SohuCom '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 SohuCom'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 SohuCom.
| 10/21/2023 |
| 04/18/2024 |
If you would invest 0.00 in SohuCom on October 21, 2023 and sell it all today you would earn a total of 0.00 from holding SohuCom or generate 0.0% return on investment in SohuCom over 180 days. SohuCom is related to or competes with Arqit Quantum. Sohu.com Limited provides online media, video, and game products and services on PCs and mobile devices in China More
SohuCom 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 SohuCom'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 SohuCom upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.34 | |||
| Information Ratio | 0.0734 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (3.83) | |||
| Potential Upside | 3.88 |
SohuCom Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SohuCom's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SohuCom's standard deviation. In reality, there are many statistical measures that can use SohuCom historical prices to predict the future SohuCom's volatility.| Risk Adjusted Performance | 0.0689 | |||
| Jensen Alpha | 0.1562 | |||
| Total Risk Alpha | 0.0483 | |||
| Sortino Ratio | 0.0712 | |||
| Treynor Ratio | 0.1729 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SohuCom'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.
SohuCom Backtested Returns
SohuCom appears to be not too volatile, given 3 months investment horizon. SohuCom owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for SohuCom, which you can use to evaluate the volatility of the company. Please review SohuCom's Coefficient Of Variation of 1021.96, risk adjusted performance of 0.0689, and Semi Deviation of 2.08 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SohuCom holds a performance score of 8. The entity has a beta of 1.23, 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, SohuCom will likely underperform. Please check SohuCom's treynor ratio, as well as the relationship between the expected short fall and day median price , to make a quick decision on whether SohuCom's existing price patterns will revert.
Auto-correlation | 0.56 |
Modest predictability
SohuCom has modest predictability. Overlapping area represents the amount of predictability between SohuCom time series from 21st of October 2023 to 19th of January 2024 and 19th of January 2024 to 18th 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 SohuCom price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current SohuCom price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.48 |
SohuCom lagged returns against current returns
Autocorrelation, which is SohuCom 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 SohuCom's stock expected returns. We can calculate the autocorrelation of SohuCom returns to help us make a trade decision. For example, suppose you find that SohuCom 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 |
SohuCom 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 SohuCom stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SohuCom stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SohuCom stock over time.
Current vs Lagged Prices |
| Timeline |
SohuCom Lagged Returns
When evaluating SohuCom's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SohuCom stock have on its future price. SohuCom 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, SohuCom autocorrelation shows the relationship between SohuCom stock current value and its past values and can show if there is a momentum factor associated with investing in SohuCom.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether SohuCom is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if SohuCom Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Sohucom Stock. Highlighted below are key reports to facilitate an investment decision about Sohucom Stock:Check out SohuCom Correlation, SohuCom Volatility and SohuCom Alpha and Beta module to complement your research on SohuCom. For more information on how to buy SohuCom Stock please use our How to Invest in SohuCom guide.Note that the SohuCom information on this page should be used as a complementary analysis to other SohuCom'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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for SohuCom Stock analysis
When running SohuCom's price analysis, check to measure SohuCom'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 SohuCom is operating at the current time. Most of SohuCom's value examination focuses on studying past and present price action to predict the probability of SohuCom's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SohuCom's price. Additionally, you may evaluate how the addition of SohuCom to your portfolios can decrease your overall portfolio volatility.
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SohuCom 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.