This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as HIGHLAND LONGSHORT HEALTHCARE. It also helps investors analyze the systematic and unsystematic risks associated with investing in HIGHLAND LONGSHORT over a specified time horizon. Remember, high HIGHLAND LONGSHORT'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.
Please note that although HIGHLAND LONGSHORT 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., NYSE Composite index.) So in this particular case, HIGHLAND LONGSHORT did 0.06 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 HIGHLAND LONGSHORT HEALTHCARE fund's relative risk over its benchmark. HIGHLAND LONGSHORT has a beta of 0.11 . As returns on the market increase, HIGHLAND LONGSHORT returns are expected to increase less than the market. However, during the bear market, the loss on holding HIGHLAND LONGSHORT will be expected to be smaller as well. .
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 HIGHLAND LONGSHORT Backtesting, Portfolio Optimization, HIGHLAND LONGSHORT Correlation, HIGHLAND LONGSHORT Hype Analysis, HIGHLAND LONGSHORT Volatility, HIGHLAND LONGSHORT History and analyze HIGHLAND LONGSHORT Performance.
HIGHLAND LONGSHORT Market PremiumsInvestors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. HIGHLAND LONGSHORT market risk premium is the additional return an investor will receive from holding HIGHLAND LONGSHORT 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 HIGHLAND LONGSHORT. 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 HIGHLAND LONGSHORT's performance over market.
HIGHLAND LONGSHORT expected buy-and-hold returnsAlthough buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of HIGHLAND LONGSHORT's Buy-and-hold return. Our buy-and-hold chart shows how HIGHLAND LONGSHORT performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.
HIGHLAND LONGSHORT Market Price Analysis
Market price analysis indicators help investors to evaluate how HIGHLAND LONGSHORT mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading HIGHLAND LONGSHORT shares will generate the highest return on investment. By understating and applying HIGHLAND LONGSHORT mutual fund market price indicators, traders can identify HIGHLAND LONGSHORT position entry and exit signals to maximize returns.
HIGHLAND LONGSHORT Return and Market MediaThe median price of HIGHLAND LONGSHORT for the period between Tue, Jul 4, 2023 and Mon, Oct 2, 2023 is 14.66 with a coefficient of variation of 1.45. The daily time series for the period is distributed with a sample standard deviation of 0.21, arithmetic mean of 14.66, and mean deviation of 0.18. The Fund did not receive any noticable media coverage during the period.
About HIGHLAND LONGSHORT Beta and Alpha
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 HIGHLAND LONGSHORT 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, HIGHLAND LONGSHORT's short interest history, or implied volatility extrapolated from HIGHLAND LONGSHORT options trading.
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Check out HIGHLAND LONGSHORT Backtesting, Portfolio Optimization, HIGHLAND LONGSHORT Correlation, HIGHLAND LONGSHORT Hype Analysis, HIGHLAND LONGSHORT Volatility, HIGHLAND LONGSHORT History and analyze HIGHLAND LONGSHORT Performance. Note that the HIGHLAND LONGSHORT information on this page should be used as a complementary analysis to other HIGHLAND LONGSHORT's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Complementary Tools for HIGHLAND Mutual Fund analysis
When running HIGHLAND LONGSHORT's price analysis, check to measure HIGHLAND LONGSHORT'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 HIGHLAND LONGSHORT is operating at the current time. Most of HIGHLAND LONGSHORT's value examination focuses on studying past and present price action to predict the probability of HIGHLAND LONGSHORT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HIGHLAND LONGSHORT's price. Additionally, you may evaluate how the addition of HIGHLAND LONGSHORT to your portfolios can decrease your overall portfolio volatility.
HIGHLAND LONGSHORT technical mutual fund 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, fund market cycles, or different charting patterns.