PUMA ENERGY (Zambia) Alpha and Beta Analysis
PUMA Stock | 5.80 0.05 0.87% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as PUMA ENERGY ZAMBIA. It also helps investors analyze the systematic and unsystematic risks associated with investing in PUMA ENERGY over a specified time horizon. Remember, high PUMA ENERGY'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 PUMA ENERGY's market risk premium analysis include:
Beta (0.05) | Alpha (0.08) | Risk 0.6 | Sharpe Ratio (0.10) | Expected Return (0.06) |
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.
PUMA |
PUMA ENERGY Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. PUMA ENERGY market risk premium is the additional return an investor will receive from holding PUMA ENERGY 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 PUMA ENERGY. 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 PUMA ENERGY's performance over market.α | -0.08 | β | -0.05 |
PUMA ENERGY Return and Market Media
The median price of PUMA ENERGY for the period between Sun, Sep 1, 2024 and Sat, Nov 30, 2024 is 5.8 with a coefficient of variation of 2.35. The daily time series for the period is distributed with a sample standard deviation of 0.14, arithmetic mean of 5.88, and mean deviation of 0.13. 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 PUMA ENERGY 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, PUMA ENERGY's short interest history, or implied volatility extrapolated from PUMA ENERGY options trading.
Build Portfolio with PUMA ENERGY
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Additional Tools for PUMA Stock Analysis
When running PUMA ENERGY's price analysis, check to measure PUMA ENERGY'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 PUMA ENERGY is operating at the current time. Most of PUMA ENERGY's value examination focuses on studying past and present price action to predict the probability of PUMA ENERGY's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PUMA ENERGY's price. Additionally, you may evaluate how the addition of PUMA ENERGY to your portfolios can decrease your overall portfolio volatility.