Gauzy Ltd Ordinary Stock Market Value

GAUZ Stock   11.94  0.43  3.74%   
Gauzy's market value is the price at which a share of Gauzy trades on a public exchange. It measures the collective expectations of Gauzy Ltd Ordinary investors about its performance. Gauzy is trading at 11.94 as of the 22nd of January 2025; that is 3.74 percent up since the beginning of the trading day. The stock's open price was 11.51.
With this module, you can estimate the performance of a buy and hold strategy of Gauzy Ltd Ordinary and determine expected loss or profit from investing in Gauzy over a given investment horizon. Check out Gauzy Correlation, Gauzy Volatility and Gauzy Alpha and Beta module to complement your research on Gauzy.
Symbol

Gauzy Ordinary Price To Book Ratio

Is Electronic Equipment, Instruments & Components 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 Gauzy. If investors know Gauzy 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 Gauzy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(4.19)
Revenue Per Share
14.532
Quarterly Revenue Growth
0.224
Return On Assets
(0.14)
Return On Equity
(4.22)
The market value of Gauzy Ordinary is measured differently than its book value, which is the value of Gauzy that is recorded on the company's balance sheet. Investors also form their own opinion of Gauzy's value that differs from its market value or its book value, called intrinsic value, which is Gauzy'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 Gauzy's market value can be influenced by many factors that don't directly affect Gauzy'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 Gauzy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gauzy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gauzy'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.

Gauzy '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 Gauzy'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 Gauzy.
0.00
02/02/2023
No Change 0.00  0.0 
In 1 year 11 months and 22 days
01/22/2025
0.00
If you would invest  0.00  in Gauzy on February 2, 2023 and sell it all today you would earn a total of 0.00 from holding Gauzy Ltd Ordinary or generate 0.0% return on investment in Gauzy over 720 days. Gauzy is related to or competes with Integral, NETGEAR, Everus Construction, Cementos Pacasmayo, Jacobs Solutions, Ziff Davis, and Cheche Group. Gauzy is entity of United States. It is traded as Stock on NASDAQ exchange. More

Gauzy 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 Gauzy'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 Gauzy Ltd Ordinary upside and downside potential and time the market with a certain degree of confidence.

Gauzy Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Gauzy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gauzy's standard deviation. In reality, there are many statistical measures that can use Gauzy historical prices to predict the future Gauzy's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gauzy'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.
Hype
Prediction
LowEstimatedHigh
6.8411.6516.46
Details
Intrinsic
Valuation
LowRealHigh
9.8514.6619.47
Details
4 Analysts
Consensus
LowTargetHigh
18.5520.3822.62
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.06-0.030.02
Details

Gauzy Ordinary Backtested Returns

Gauzy appears to be somewhat reliable, given 3 months investment horizon. Gauzy Ordinary holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11 % return per unit of risk over the last 3 months. By evaluating Gauzy's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please utilize Gauzy's Risk Adjusted Performance of 0.0704, market risk adjusted performance of (0.73), and Downside Deviation of 4.66 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Gauzy holds a performance score of 8. The company retains a Market Volatility (i.e., Beta) of -0.47, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Gauzy are expected to decrease at a much lower rate. During the bear market, Gauzy is likely to outperform the market. Please check Gauzy's downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to make a quick decision on whether Gauzy's current trending patterns will revert.

Auto-correlation

    
  0.00  

No correlation between past and present

Gauzy Ltd Ordinary has no correlation between past and present. Overlapping area represents the amount of predictability between Gauzy time series from 2nd of February 2023 to 28th of January 2024 and 28th of January 2024 to 22nd of January 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 Gauzy Ordinary price movement. The serial correlation of 0.0 indicates that just 0.0% of current Gauzy price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.0

Gauzy Ordinary lagged returns against current returns

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

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

Gauzy Lagged Returns

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

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Additional Tools for Gauzy Stock Analysis

When running Gauzy's price analysis, check to measure Gauzy'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 Gauzy is operating at the current time. Most of Gauzy's value examination focuses on studying past and present price action to predict the probability of Gauzy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gauzy's price. Additionally, you may evaluate how the addition of Gauzy to your portfolios can decrease your overall portfolio volatility.