Silicon Motion Technology Stock Market Value
| SIMO Stock | USD 73.32 0.16 0.22% |
| Symbol | Silicon |
Silicon Motion Technology Price To Book Ratio
Is Semiconductors & Semiconductor Equipment 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 Silicon Motion. If investors know Silicon 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 Silicon Motion 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 0.211 | Earnings Share 2.72 | Revenue Per Share | Quarterly Revenue Growth (0.12) | Return On Assets |
The market value of Silicon Motion Technology is measured differently than its book value, which is the value of Silicon that is recorded on the company's balance sheet. Investors also form their own opinion of Silicon Motion's value that differs from its market value or its book value, called intrinsic value, which is Silicon Motion'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 Silicon Motion's market value can be influenced by many factors that don't directly affect Silicon Motion'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 Silicon Motion's value and its price as these two are different measures arrived at by different means. Investors typically determine if Silicon Motion is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Silicon Motion'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.
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.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Silicon Motion on April 21, 2025 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 ASE Industrial, Himax Technologies, United Microelectronics, MaxLinear, SemiLEDS, Monolithic Power, and Synaptics Incorporated. Silicon Motion Technology Corporation, together with its subsidiaries, designs, develops, and markets NAND flash control... 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.
| Downside Deviation | 1.58 | |||
| Information Ratio | 0.3008 | |||
| Maximum Drawdown | 12.51 | |||
| Value At Risk | (2.11) | |||
| Potential Upside | 5.97 |
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 | 0.3387 | |||
| Jensen Alpha | 0.7058 | |||
| Total Risk Alpha | 0.5417 | |||
| Sortino Ratio | 0.4852 | |||
| Treynor Ratio | 0.6069 |
Silicon Motion Technology Backtested Returns
Silicon Motion is very steady given 3 months investment horizon. Silicon Motion Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.42, which indicates the firm had a 0.42 % return per unit of risk over the last 3 months. We have collected data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.05% are justified by taking the suggested risk. Use Silicon Motion Technology Semi Deviation of 0.9701, coefficient of variation of 281.02, and Risk Adjusted Performance of 0.3387 to evaluate company specific risk that cannot be diversified away. Silicon Motion holds a performance score of 32 on a scale of zero to a hundred. The entity has a beta of 1.48, 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, Silicon Motion will likely underperform. Use Silicon Motion Technology expected short fall, and the relationship between the maximum drawdown and rate of daily change , to analyze future returns on Silicon Motion Technology.
Auto-correlation | 0.86 |
Very good predictability
Silicon Motion Technology has very good predictability. Overlapping area represents the amount of predictability between Silicon Motion time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 2025. 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 0.86 indicates that approximately 86.0% of current Silicon Motion price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 8.33 |
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 |
Pair Trading with Silicon Motion
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 Silicon Motion 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 Silicon Motion will appreciate offsetting losses from the drop in the long position's value.Moving together with Silicon Stock
| 0.96 | MU | Micron Technology | PairCorr |
| 0.91 | AMD | Advanced Micro Devices Aggressive Push | PairCorr |
| 0.96 | TSM | Taiwan Semiconductor Aggressive Push | PairCorr |
| 0.69 | INTC | Intel Earnings Call This Week | PairCorr |
| 0.92 | MRVL | Marvell Technology Aggressive Push | PairCorr |
The ability to find closely correlated positions to Silicon Motion could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Silicon Motion 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 Silicon Motion - 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 Silicon Motion Technology to buy it.
The correlation of Silicon Motion 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 Silicon Motion moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Silicon Motion Technology 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 Silicon Motion 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 Silicon Motion Correlation, Silicon Motion Volatility and Silicon Motion Alpha and Beta module to complement your research on Silicon Motion. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Silicon Motion 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.