Wkly Etf Alpha and Beta Analysis
| WKLY Etf | USD 48.32 0.01 0.02% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as WKLY. It also helps investors analyze the systematic and unsystematic risks associated with investing in WKLY over a specified time horizon. Remember, high WKLY'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 WKLY's market risk premium analysis include:
Beta 0.14 | Alpha 0.012 | Risk 0.0 | Sharpe Ratio 0.0 | Expected Return 0.0 |
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.
WKLY |
WKLY Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. WKLY market risk premium is the additional return an investor will receive from holding WKLY 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 WKLY. 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 WKLY's performance over market.| α | 0.01 | β | 0.14 |
WKLY Fundamentals Vs Peers
Comparing WKLY's fundamentals to the average values of its peers is one of the most widely used and accepted methods of equity analyses. It helps to analyze WKLY's direct or indirect competition across all of the common fundamentals between WKLY and the related equities. This way, we can detect undervalued stocks with similar characteristics as WKLY or determine the etfs which would be an excellent addition to an existing portfolio. Peer analysis of WKLY's fundamental indicators could also be used in its relative valuation, which is a method of valuing WKLY by comparing valuation metrics with those of similar companies.
| Better Than Average | Worse Than Average | Compare WKLY to competition |
| Fundamentals | WKLY | Peer Average |
| One Year Return | 32.60 % | (0.97) % |
| Net Asset | 8.15 M | 2.29 B |
| Last Dividend Paid | 0.02 | 0.14 |
| Equity Positions Weight | 99.20 % | 52.82 % |
WKLY Opportunities
WKLY Return and Market Media
The Etf did not receive any noticable media coverage during the period. Price Growth (%) |
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About WKLY 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 WKLY or other etfs. Alpha measures the amount that position in WKLY 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 WKLY 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, WKLY's short interest history, or implied volatility extrapolated from WKLY options trading.
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WKLY technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.