Hvidbjerg Bank (Denmark) Alpha and Beta Analysis
| HVID Stock | DKK 115.00 1.00 0.88% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Hvidbjerg Bank. It also helps investors analyze the systematic and unsystematic risks associated with investing in Hvidbjerg Bank over a specified time horizon. Remember, high Hvidbjerg Bank'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 Hvidbjerg Bank's market risk premium analysis include:
Beta 0.12 | Alpha 0.0311 | Risk 1.08 | Sharpe Ratio 0.0851 | Expected Return 0.0922 |
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.
Hvidbjerg |
Hvidbjerg Bank Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Hvidbjerg Bank market risk premium is the additional return an investor will receive from holding Hvidbjerg Bank 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 Hvidbjerg Bank. 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 Hvidbjerg Bank's performance over market.| α | 0.03 | β | 0.12 |
Hvidbjerg Bank expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Hvidbjerg Bank's Buy-and-hold return. Our buy-and-hold chart shows how Hvidbjerg Bank performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Hvidbjerg Bank Market Price Analysis
Market price analysis indicators help investors to evaluate how Hvidbjerg Bank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hvidbjerg Bank shares will generate the highest return on investment. By understating and applying Hvidbjerg Bank stock market price indicators, traders can identify Hvidbjerg Bank position entry and exit signals to maximize returns.
Hvidbjerg Bank Return and Market Media
The median price of Hvidbjerg Bank for the period between Sat, Jan 20, 2024 and Fri, Apr 19, 2024 is 114.0 with a coefficient of variation of 2.74. The daily time series for the period is distributed with a sample standard deviation of 3.1, arithmetic mean of 113.05, and mean deviation of 2.68. The Stock did not receive any noticable media coverage during the period. Price Growth (%) |
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About Hvidbjerg Bank 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 Hvidbjerg or other stocks. Alpha measures the amount that position in Hvidbjerg Bank 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 Hvidbjerg Bank 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, Hvidbjerg Bank's short interest history, or implied volatility extrapolated from Hvidbjerg Bank options trading.
Build Portfolio with Hvidbjerg Bank
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
Check out Hvidbjerg Bank Backtesting, Hvidbjerg Bank Valuation, Hvidbjerg Bank Correlation, Hvidbjerg Bank Hype Analysis, Hvidbjerg Bank Volatility, Hvidbjerg Bank History and analyze Hvidbjerg Bank Performance. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for Hvidbjerg Stock analysis
When running Hvidbjerg Bank's price analysis, check to measure Hvidbjerg Bank'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 Hvidbjerg Bank is operating at the current time. Most of Hvidbjerg Bank's value examination focuses on studying past and present price action to predict the probability of Hvidbjerg Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hvidbjerg Bank's price. Additionally, you may evaluate how the addition of Hvidbjerg Bank to your portfolios can decrease your overall portfolio volatility.
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Hvidbjerg Bank technical stock 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, stock market cycles, or different charting patterns.