KH Group's market value is the price at which a share of KH Group trades on a public exchange. It measures the collective expectations of KH Group Oyj investors about its performance. KH Group is trading at 100.87 as of the 28th of November 2024, a 18,240 percent up since the beginning of the trading day. The stock's lowest day price was 100.87. With this module, you can estimate the performance of a buy and hold strategy of KH Group Oyj and determine expected loss or profit from investing in KH Group over a given investment horizon. Check out Correlation Analysis to better understand how to build diversified portfolios. 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.
Symbol
KHG
KH Group 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to KH Group's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of KH Group.
0.00
10/29/2024
No Change 0.00
0.0
In 31 days
11/28/2024
0.00
If you would invest 0.00 in KH Group on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding KH Group Oyj or generate 0.0% return on investment in KH Group over 30 days.
KH Group Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure KH Group's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess KH Group Oyj upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for KH Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KH Group's standard deviation. In reality, there are many statistical measures that can use KH Group historical prices to predict the future KH Group's volatility.
KH Group is out of control given 3 months investment horizon. KH Group Oyj retains Efficiency (Sharpe Ratio) of 0.12, which conveys that the firm had a 0.12% return per unit of price deviation over the last 3 months. We were able to analyze and collect data for twenty-six different technical indicators, which can help you to evaluate if expected returns of 15.19% are justified by taking the suggested risk. Use KH Group Oyj Mean Deviation of 516.04, variance of 4530144.97, and Market Risk Adjusted Performance of (1.32) to evaluate company specific risk that cannot be diversified away. KH Group holds a performance score of 9 on a scale of zero to a hundred. The company owns a Beta (Systematic Risk) of -196.73, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning KH Group are expected to decrease by larger amounts. On the other hand, during market turmoil, KH Group is expected to outperform it. Use KH Group Oyj downside deviation, total risk alpha, value at risk, as well as the relationship between the standard deviation and treynor ratio , to analyze future returns on KH Group Oyj.
Auto-correlation
-0.49
Modest reverse predictability
KH Group Oyj has modest reverse predictability. Overlapping area represents the amount of predictability between KH Group time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of KH Group Oyj price movement. The serial correlation of -0.49 indicates that about 49.0% of current KH Group price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.49
Spearman Rank Test
-0.15
Residual Average
0.0
Price Variance
768.65
KH Group Oyj lagged returns against current returns
Autocorrelation, which is KH Group stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting KH Group's stock expected returns. We can calculate the autocorrelation of KH Group returns to help us make a trade decision. For example, suppose you find that KH Group has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
KH Group regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If KH Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KH Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KH Group stock over time.
Current vs Lagged Prices
Timeline
KH Group Lagged Returns
When evaluating KH Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KH Group stock have on its future price. KH Group autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, KH Group autocorrelation shows the relationship between KH Group stock current value and its past values and can show if there is a momentum factor associated with investing in KH Group Oyj.
Regressed Prices
Timeline
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