Sfhy Etf Alpha and Beta Analysis

This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as SFHY. It also helps investors analyze the systematic and unsystematic risks associated with investing in SFHY over a specified time horizon. Remember, high SFHY'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 SFHY's market risk premium analysis include:
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Alpha
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Sharpe Ratio
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Please note that although SFHY 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, SFHY did 0.00  better 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 SFHY etf's relative risk over its benchmark. SFHY has a beta of 0.00  . The returns on DOW JONES INDUSTRIAL and SFHY are completely uncorrelated. .
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 World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in rate.

SFHY Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. SFHY market risk premium is the additional return an investor will receive from holding SFHY 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 SFHY. 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 SFHY's performance over market.
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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 SFHY 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, SFHY's short interest history, or implied volatility extrapolated from SFHY options trading.

Build Portfolio with SFHY

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Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in rate.
You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.

Other Tools for SFHY Etf

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