SSIAM VN30 (Vietnam) Alpha and Beta Analysis
| FUESSV30 | 16,280 130.00 0.80% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as SSIAM VN30 ETF. It also helps investors analyze the systematic and unsystematic risks associated with investing in SSIAM VN30 over a specified time horizon. Remember, high SSIAM VN30'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 SSIAM VN30's market risk premium analysis include:
Beta 0.3 | Alpha (0.06) | Risk 0.74 | Sharpe Ratio (0.01) | Expected Return (0) |
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.
SSIAM |
SSIAM VN30 Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. SSIAM VN30 market risk premium is the additional return an investor will receive from holding SSIAM VN30 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 SSIAM VN30. 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 SSIAM VN30's performance over market.| α | -0.06 | β | 0.30 |
SSIAM VN30 Return and Market Media
The median price of SSIAM VN30 for the period between Sun, Sep 1, 2024 and Sat, Nov 30, 2024 is 16520.0 with a coefficient of variation of 1.99. The daily time series for the period is distributed with a sample standard deviation of 328.25, arithmetic mean of 16491.36, and mean deviation of 275.18. The Etf 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 SSIAM VN30 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, SSIAM VN30's short interest history, or implied volatility extrapolated from SSIAM VN30 options trading.