KORN FERRY (Germany) Analysis

KFY Stock  EUR 68.50  0.50  0.74%   
KORN FERRY INTL is fairly valued with Real Value of 68.64 and Hype Value of 68.5. The main objective of KORN FERRY stock analysis is to determine its intrinsic value, which is an estimate of what KORN FERRY INTL is worth, separate from its market price. There are two main types of KORN FERRY's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect KORN FERRY's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of KORN FERRY's stock to identify patterns and trends that may indicate its future price movements.
The KORN FERRY stock is traded in Germany on Berlin Exchange, with the market opening at 08:00:00 and closing at 20:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and KORN FERRY's ongoing operational relationships across important fundamental and technical indicators.
  
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in KORN FERRY INTL. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
For information on how to trade KORN Stock refer to our How to Trade KORN Stock guide.

KORN Stock Analysis Notes

The company has price-to-book ratio of 1.71. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. KORN FERRY INTL last dividend was issued on the 18th of December 1970.

KORN Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 3.76 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate KORN FERRY's market, we take the total number of its shares issued and multiply it by KORN FERRY's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Technical Drivers

As of the 2nd of February, KORN FERRY secures the risk adjusted performance of 0.0669, and Mean Deviation of 1.23. KORN FERRY INTL technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify KORN FERRY INTL information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if KORN FERRY INTL is priced more or less accurately, providing market reflects its recent price of 68.5 per share.

KORN FERRY INTL Price Movement Analysis

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The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. KORN FERRY middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for KORN FERRY INTL. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

KORN FERRY Predictive Daily Indicators

KORN FERRY intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of KORN FERRY stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

KORN FERRY Forecast Models

KORN FERRY's time-series forecasting models are one of many KORN FERRY's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary KORN FERRY's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding KORN FERRY to your portfolios without increasing risk or reducing expected return.

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Complementary Tools for KORN Stock analysis

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