Flying Spark (Israel) Alpha and Beta Analysis
| FLYS Stock | ILA 73.30 0.00 0.00% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Flying Spark. It also helps investors analyze the systematic and unsystematic risks associated with investing in Flying Spark over a specified time horizon. Remember, high Flying Spark'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 Flying Spark's market risk premium analysis include:
Beta (1.96) | Alpha (0.71) | 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.
Flying |
Flying Spark Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Flying Spark market risk premium is the additional return an investor will receive from holding Flying Spark 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 Flying Spark. 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 Flying Spark's performance over market.| α | -0.71 | β | -1.96 |
Flying Spark Fundamentals Vs Peers
Comparing Flying Spark'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 Flying Spark's direct or indirect competition across all of the common fundamentals between Flying Spark and the related equities. This way, we can detect undervalued stocks with similar characteristics as Flying Spark or determine the stocks which would be an excellent addition to an existing portfolio. Peer analysis of Flying Spark's fundamental indicators could also be used in its relative valuation, which is a method of valuing Flying Spark by comparing valuation metrics with those of similar companies.
| Better Than Average | Worse Than Average | Compare Flying Spark to competition |
| Fundamentals | Flying Spark | Peer Average |
| Return On Equity | -0.77 | -0.31 |
| Return On Asset | -0.29 | -0.14 |
| Shares Owned By Insiders | 22.00 % | 10.09 % |
| Shares Owned By Institutions | 0.09 % | 39.21 % |
| Revenue | 6 K | 9.43 B |
| Gross Profit | 12 K | 27.38 B |
| EBITDA | (9.88 M) | 3.9 B |
Flying Spark Opportunities
Flying Spark Return and Market Media
The Stock did not receive any noticable media coverage during the period. Price Growth (%) |
| Timeline |
About Flying Spark 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 Flying or other stocks. Alpha measures the amount that position in Flying Spark 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 Flying Spark 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, Flying Spark's short interest history, or implied volatility extrapolated from Flying Spark options trading.
Build Portfolio with Flying Spark
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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Flying Stock analysis
When running Flying Spark's price analysis, check to measure Flying Spark'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 Flying Spark is operating at the current time. Most of Flying Spark's value examination focuses on studying past and present price action to predict the probability of Flying Spark's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Flying Spark's price. Additionally, you may evaluate how the addition of Flying Spark to your portfolios can decrease your overall portfolio volatility.
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Flying Spark 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.