PETROSEA (Germany) Alpha and Beta Analysis

2P0N Stock   1.65  0.00  0.00%   
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as PETROSEA. It also helps investors analyze the systematic and unsystematic risks associated with investing in PETROSEA over a specified time horizon. Remember, high PETROSEA'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 PETROSEA's market risk premium analysis include:
Beta
(0.30)
Alpha
1.21
Risk
4.76
Sharpe Ratio
0.27
Expected Return
1.26
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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

PETROSEA Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. PETROSEA market risk premium is the additional return an investor will receive from holding PETROSEA 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 PETROSEA. 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 PETROSEA's performance over market.
α1.21   β-0.3

PETROSEA Return and Market Media

The median price of PETROSEA for the period between Sun, Sep 29, 2024 and Sat, Dec 28, 2024 is 1.07 with a coefficient of variation of 24.68. The daily time series for the period is distributed with a sample standard deviation of 0.27, arithmetic mean of 1.11, and mean deviation of 0.23. The Stock did not receive any noticable media coverage during the period.
 Price Growth (%)  
       Timeline  
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 PETROSEA 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, PETROSEA's short interest history, or implied volatility extrapolated from PETROSEA options trading.

Build Portfolio with PETROSEA

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Align your risk with return expectations

By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations

Additional Tools for PETROSEA Stock Analysis

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