Artificial Intelligence Technology Stock Alpha and Beta Analysis

AITX Stock  USD 0  0.0001  3.57%   
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Artificial Intelligence Technology. It also helps investors analyze the systematic and unsystematic risks associated with investing in Artificial Intelligence over a specified time horizon. Remember, high Artificial Intelligence'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 Artificial Intelligence's market risk premium analysis include:
Beta
0.39
Alpha
(0.02)
Risk
8.56
Sharpe Ratio
0.0103
Expected Return
0.0883
Please note that although Artificial Intelligence alpha is a measure of relative return and represented here as a single number, it indicates the percentage above or below your selected benchmark (i.e., Dow Jones Industrial index.) So in this particular case, Artificial Intelligence did 0.02  worse than the index. Remember, a high alpha is always good. Beta, on the other hand, measures the volatility (or risk) of an investment. It is an indication of Artificial Intelligence Technology stock's relative risk over its benchmark. Artificial Intelligence has a beta of 0.39  . As returns on the market increase, Artificial Intelligence's returns are expected to increase less than the market. However, during the bear market, the loss of holding Artificial Intelligence is expected to be smaller as well. .
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.
  
Check out Artificial Intelligence Backtesting, Artificial Intelligence Valuation, Artificial Intelligence Correlation, Artificial Intelligence Hype Analysis, Artificial Intelligence Volatility, Artificial Intelligence History and analyze Artificial Intelligence Performance.

Artificial Intelligence Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Artificial Intelligence market risk premium is the additional return an investor will receive from holding Artificial Intelligence 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 Artificial Intelligence. 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 Artificial Intelligence's performance over market.
α-0.02   β0.39

Artificial Intelligence 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 Artificial Intelligence's Buy-and-hold return. Our buy-and-hold chart shows how Artificial Intelligence performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.

Artificial Intelligence Market Price Analysis

Market price analysis indicators help investors to evaluate how Artificial Intelligence pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Artificial Intelligence shares will generate the highest return on investment. By understating and applying Artificial Intelligence pink sheet market price indicators, traders can identify Artificial Intelligence position entry and exit signals to maximize returns.

Artificial Intelligence Return and Market Media

The median price of Artificial Intelligence for the period between Sun, Sep 1, 2024 and Sat, Nov 30, 2024 is 0.0029 with a coefficient of variation of 8.83. The daily time series for the period is distributed with a sample standard deviation of 0.0, arithmetic mean of 0.0, and mean deviation of 0.0. The Stock did not receive any noticable media coverage during the period.
 Price Growth (%)  
       Timeline  

About Artificial Intelligence 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 Artificial or other pink sheets. Alpha measures the amount that position in Artificial Intelligence 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.
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 Artificial Intelligence 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, Artificial Intelligence's short interest history, or implied volatility extrapolated from Artificial Intelligence options trading.

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Additional Tools for Artificial Pink Sheet Analysis

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