Gauzy Ltd Ordinary Stock Alpha and Beta Analysis
| GAUZ Stock | 10.16 0.06 0.59% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Gauzy Ltd Ordinary. It also helps investors analyze the systematic and unsystematic risks associated with investing in Gauzy over a specified time horizon. Remember, high Gauzy's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Gauzy's market risk premium analysis include:
Beta (0.31) | Alpha 0.28 | Risk 4.88 | Sharpe Ratio 0.0741 | Expected Return 0.36 |
Enterprise Value |
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Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
Gauzy |
Gauzy Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Gauzy market risk premium is the additional return an investor will receive from holding Gauzy long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Gauzy. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Gauzy's performance over market.| α | 0.28 | β | -0.31 |
Gauzy expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Gauzy's Buy-and-hold return. Our buy-and-hold chart shows how Gauzy performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Gauzy Market Price Analysis
Market price analysis indicators help investors to evaluate how Gauzy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Gauzy shares will generate the highest return on investment. By understating and applying Gauzy stock market price indicators, traders can identify Gauzy position entry and exit signals to maximize returns.
Gauzy Return and Market Media
The median price of Gauzy for the period between Tue, Oct 8, 2024 and Mon, Jan 6, 2025 is 8.8 with a coefficient of variation of 10.14. The daily time series for the period is distributed with a sample standard deviation of 0.89, arithmetic mean of 8.76, and mean deviation of 0.77. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Gauzys Advanced Driver Assistance System Fully Replaces Traditional Side Mirrors on Capital District Transportation Authority of New Yorks Public Buses | 10/10/2024 |
2 | Gauzy Ltd. adds Second Production Shift in Europe to Meet Strong Global Demand Releases Preliminary Third Quarter Revenue Range and ProvidesFourth Quarter Guida... | 10/31/2024 |
3 | Gauzy shares rise as Q3 loss narrows, revenue growth strong | 11/12/2024 |
4 | Gauzy Ltd Q3 2024 Earnings Call Highlights Strong Revenue Growth Amid Operational Challenges | 11/13/2024 |
5 | Gauzy Ltd. to Present and Feature Advanced Driver Assistance System Equipped Bus at Barclays 15th Annual Global Automotive and Mobility Tech Conference | 11/18/2024 |
6 | Certain Warrants of Gauzy Ltd. are subject to a Lock-Up Agreement Ending on 3-DEC-2024. - Marketscreener.com | 12/02/2024 |
7 | Does Gauzy Have A Healthy Balance Sheet | 12/06/2024 |
8 | Gauzy Receives Outstanding Supplier Award for Its Smart-Vision Advanced Driver Assistance System From Worlds Largest Commercial Bus Manufacturer, Yutong | 12/17/2024 |
About Gauzy Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Gauzy or other stocks. Alpha measures the amount that position in Gauzy Ordinary has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
| 2022 | 2023 | 2024 | 2025 (projected) | Payables Turnover | 3.67 | 4.41 | 3.97 | 2.48 | Days Of Inventory On Hand | 89.35 | 77.93 | 89.62 | 103.18 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Gauzy in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Gauzy's short interest history, or implied volatility extrapolated from Gauzy options trading.
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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.