Sea Stock Market Value
| SE Stock | USD 114.00 0.96 0.85% |
| Symbol | Sea |
Sea Price To Book Ratio
Is Interactive Home Entertainment 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 Sea. If investors know Sea 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 Sea 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 (0.74) | Earnings Share 0.15 | Revenue Per Share 27.058 | Quarterly Revenue Growth 0.308 | Return On Assets 0.0094 |
The market value of Sea is measured differently than its book value, which is the value of Sea that is recorded on the company's balance sheet. Investors also form their own opinion of Sea's value that differs from its market value or its book value, called intrinsic value, which is Sea'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 Sea's market value can be influenced by many factors that don't directly affect Sea'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 Sea's value and its price as these two are different measures arrived at by different means. Investors typically determine if Sea is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sea'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.
Sea '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 Sea'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 Sea.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Sea on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Sea or generate 0.0% return on investment in Sea over 30 days. Sea is related to or competes with Atari SA, Motorsport Gaming, GD Culture, Snail,, Blue Hat, Golden Matrix, and Doubledown Interactive. Sea Limited, together with its subsidiaries, engages in the digital entertainment, e-commerce, and digital financial ser... More
Sea 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 Sea'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 Sea upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.75 | |||
| Information Ratio | 0.1566 | |||
| Maximum Drawdown | 12.95 | |||
| Value At Risk | (2.83) | |||
| Potential Upside | 4.65 |
Sea Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sea's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sea's standard deviation. In reality, there are many statistical measures that can use Sea historical prices to predict the future Sea's volatility.| Risk Adjusted Performance | 0.1694 | |||
| Jensen Alpha | 0.4673 | |||
| Total Risk Alpha | 0.1188 | |||
| Sortino Ratio | 0.2107 | |||
| Treynor Ratio | 2.55 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sea'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.
Sea Backtested Returns
Sea appears to be very steady, given 3 months investment horizon. Sea owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.22, which indicates the firm had a 0.22% return per unit of risk over the last 3 months. By inspecting Sea's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please review Sea's Risk Adjusted Performance of 0.1694, semi deviation of 1.45, and Coefficient Of Variation of 471.57 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sea holds a performance score of 17. The entity has a beta of 0.19, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sea's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sea is expected to be smaller as well. Please check Sea's value at risk, and the relationship between the jensen alpha and skewness , to make a quick decision on whether Sea's existing price patterns will revert.
Auto-correlation | -0.32 |
Poor reverse predictability
Sea has poor reverse predictability. Overlapping area represents the amount of predictability between Sea time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 Sea price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Sea price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 33.32 |
Sea lagged returns against current returns
Autocorrelation, which is Sea 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 Sea's stock expected returns. We can calculate the autocorrelation of Sea returns to help us make a trade decision. For example, suppose you find that Sea 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 |
Sea 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 Sea stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sea stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sea stock over time.
Current vs Lagged Prices |
| Timeline |
Sea Lagged Returns
When evaluating Sea's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sea stock have on its future price. Sea 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, Sea autocorrelation shows the relationship between Sea stock current value and its past values and can show if there is a momentum factor associated with investing in Sea.
Regressed Prices |
| Timeline |
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Sea 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.