Silicon Motion (Germany) Market Value
| S9M Stock | 51.00 1.50 2.86% |
| Symbol | Silicon |
Silicon Motion '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 Silicon Motion'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 Silicon Motion.
| 08/28/2024 |
| 11/26/2024 |
If you would invest 0.00 in Silicon Motion on August 28, 2024 and sell it all today you would earn a total of 0.00 from holding Silicon Motion Technology or generate 0.0% return on investment in Silicon Motion over 90 days. Silicon Motion is related to or competes with Apple, Apple, Apple, Apple, Apple, Microsoft, and Microsoft. More
Silicon Motion 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 Silicon Motion'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 Silicon Motion Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 10.04 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 3.81 |
Silicon Motion Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silicon Motion's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silicon Motion's standard deviation. In reality, there are many statistical measures that can use Silicon Motion historical prices to predict the future Silicon Motion's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.46) | |||
| Treynor Ratio | (0.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Silicon Motion'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.
Silicon Motion Technology Backtested Returns
Silicon Motion Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of -3.0E-4, which indicates the firm had a -3.0E-4% return per unit of risk over the last 3 months. Silicon Motion Technology exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Silicon Motion's Variance of 5.62, risk adjusted performance of (0.02), and Coefficient Of Variation of (2,902) to confirm the risk estimate we provide. The entity has a beta of 0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Silicon Motion's returns are expected to increase less than the market. However, during the bear market, the loss of holding Silicon Motion is expected to be smaller as well. At this point, Silicon Motion Technology has a negative expected return of -6.0E-4%. Please make sure to validate Silicon Motion's kurtosis, and the relationship between the value at risk and rate of daily change , to decide if Silicon Motion Technology performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.46 |
Average predictability
Silicon Motion Technology has average predictability. Overlapping area represents the amount of predictability between Silicon Motion time series from 28th of August 2024 to 12th of October 2024 and 12th of October 2024 to 26th 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 Silicon Motion Technology price movement. The serial correlation of 0.46 indicates that about 46.0% of current Silicon Motion price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 2.77 |
Silicon Motion Technology lagged returns against current returns
Autocorrelation, which is Silicon Motion 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 Silicon Motion's stock expected returns. We can calculate the autocorrelation of Silicon Motion returns to help us make a trade decision. For example, suppose you find that Silicon Motion 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 |
Silicon Motion 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 Silicon Motion stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silicon Motion stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silicon Motion stock over time.
Current vs Lagged Prices |
| Timeline |
Silicon Motion Lagged Returns
When evaluating Silicon Motion's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silicon Motion stock have on its future price. Silicon Motion 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, Silicon Motion autocorrelation shows the relationship between Silicon Motion stock current value and its past values and can show if there is a momentum factor associated with investing in Silicon Motion Technology.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Silicon Stock Analysis
When running Silicon Motion's price analysis, check to measure Silicon Motion'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 Silicon Motion is operating at the current time. Most of Silicon Motion's value examination focuses on studying past and present price action to predict the probability of Silicon Motion's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silicon Motion's price. Additionally, you may evaluate how the addition of Silicon Motion to your portfolios can decrease your overall portfolio volatility.