Ambarella Stock Market Value

AMBA Stock  USD 54.78  2.58  4.94%   
Ambarella's market value is the price at which a share of Ambarella trades on a public exchange. It measures the collective expectations of Ambarella investors about its performance. Ambarella is trading at 54.78 as of the 16th of March 2025, a 4.94 percent increase since the beginning of the trading day. The stock's open price was 52.2.
With this module, you can estimate the performance of a buy and hold strategy of Ambarella and determine expected loss or profit from investing in Ambarella over a given investment horizon. Check out Ambarella Correlation, Ambarella Volatility and Ambarella Alpha and Beta module to complement your research on Ambarella.
For information on how to trade Ambarella Stock refer to our How to Trade Ambarella Stock guide.
Symbol

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 Ambarella. If investors know Ambarella 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 Ambarella listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Ambarella is measured differently than its book value, which is the value of Ambarella that is recorded on the company's balance sheet. Investors also form their own opinion of Ambarella's value that differs from its market value or its book value, called intrinsic value, which is Ambarella'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 Ambarella's market value can be influenced by many factors that don't directly affect Ambarella'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 Ambarella's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ambarella is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ambarella'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.

Ambarella '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 Ambarella'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 Ambarella.
0.00
12/16/2024
No Change 0.00  0.0 
In 3 months and 1 day
03/16/2025
0.00
If you would invest  0.00  in Ambarella on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Ambarella or generate 0.0% return on investment in Ambarella over 90 days. Ambarella is related to or competes with Axcelis Technologies, Kulicke, Ultra Clean, Cohu, Amtech Systems, Aehr Test, and Photronics. Ambarella, Inc. develops semiconductor solutions for video that enable high-definition and ultra HD compression, image p... More

Ambarella 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 Ambarella'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 Ambarella upside and downside potential and time the market with a certain degree of confidence.

Ambarella Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Ambarella's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ambarella's standard deviation. In reality, there are many statistical measures that can use Ambarella historical prices to predict the future Ambarella's volatility.
Hype
Prediction
LowEstimatedHigh
42.5046.3760.26
Details
Intrinsic
Valuation
LowRealHigh
49.3068.9572.82
Details
Naive
Forecast
LowNextHigh
48.8552.7256.60
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
46.9667.6788.38
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Ambarella. Your research has to be compared to or analyzed against Ambarella's peers to derive any actionable benefits. When done correctly, Ambarella's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Ambarella.

Ambarella Backtested Returns

Ambarella secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12 % return per unit of standard deviation over the last 3 months. Ambarella exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Ambarella's mean deviation of 2.93, and Risk Adjusted Performance of (0.1) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0753, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Ambarella's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ambarella is expected to be smaller as well. At this point, Ambarella has a negative expected return of -0.46%. Please make sure to confirm Ambarella's total risk alpha, potential upside, and the relationship between the standard deviation and maximum drawdown , to decide if Ambarella performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.51  

Good reverse predictability

Ambarella has good reverse predictability. Overlapping area represents the amount of predictability between Ambarella time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Ambarella price movement. The serial correlation of -0.51 indicates that about 51.0% of current Ambarella price fluctuation can be explain by its past prices.
Correlation Coefficient-0.51
Spearman Rank Test-0.24
Residual Average0.0
Price Variance128.9

Ambarella lagged returns against current returns

Autocorrelation, which is Ambarella 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 Ambarella's stock expected returns. We can calculate the autocorrelation of Ambarella returns to help us make a trade decision. For example, suppose you find that Ambarella 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  

Ambarella 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 Ambarella stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ambarella stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ambarella stock over time.
   Current vs Lagged Prices   
       Timeline  

Ambarella Lagged Returns

When evaluating Ambarella's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ambarella stock have on its future price. Ambarella 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, Ambarella autocorrelation shows the relationship between Ambarella stock current value and its past values and can show if there is a momentum factor associated with investing in Ambarella.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Ambarella offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ambarella's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ambarella Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Ambarella Stock:
Check out Ambarella Correlation, Ambarella Volatility and Ambarella Alpha and Beta module to complement your research on Ambarella.
For information on how to trade Ambarella Stock refer to our How to Trade Ambarella Stock guide.
You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Ambarella 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.
A focus of Ambarella technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Ambarella trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...