Kingfa Science (India) Market Value

KINGFA Stock   2,940  78.45  2.74%   
Kingfa Science's market value is the price at which a share of Kingfa Science trades on a public exchange. It measures the collective expectations of Kingfa Science Technology investors about its performance. Kingfa Science is trading at 2939.65 as of the 26th of November 2024, a 2.74 percent increase since the beginning of the trading day. The stock's open price was 2861.2.
With this module, you can estimate the performance of a buy and hold strategy of Kingfa Science Technology and determine expected loss or profit from investing in Kingfa Science over a given investment horizon. Check out Kingfa Science Correlation, Kingfa Science Volatility and Kingfa Science Alpha and Beta module to complement your research on Kingfa Science.
Symbol

Please note, there is a significant difference between Kingfa Science's value and its price as these two are different measures arrived at by different means. Investors typically determine if Kingfa Science is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kingfa Science's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Kingfa Science '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 Kingfa Science'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 Kingfa Science.
0.00
10/27/2024
No Change 0.00  0.0 
In 30 days
11/26/2024
0.00
If you would invest  0.00  in Kingfa Science on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Kingfa Science Technology or generate 0.0% return on investment in Kingfa Science over 30 days. Kingfa Science is related to or competes with Clean Science, Speciality Restaurants, Network18 Media, Cholamandalam Investment, HDFC Asset, SINCLAIRS HOTELS, and Sonata Software. Kingfa Science is entity of India. It is traded as Stock on NSE exchange. More

Kingfa Science 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 Kingfa Science'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 Kingfa Science Technology upside and downside potential and time the market with a certain degree of confidence.

Kingfa Science Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Kingfa Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kingfa Science's standard deviation. In reality, there are many statistical measures that can use Kingfa Science historical prices to predict the future Kingfa Science's volatility.
Hype
Prediction
LowEstimatedHigh
2,9372,9392,941
Details
Intrinsic
Valuation
LowRealHigh
2,8082,8113,234
Details
Naive
Forecast
LowNextHigh
2,8552,8572,859
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2,7742,9383,101
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Kingfa Science. Your research has to be compared to or analyzed against Kingfa Science's peers to derive any actionable benefits. When done correctly, Kingfa Science's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Kingfa Science Technology.

Kingfa Science Technology Backtested Returns

Kingfa Science Technology has Sharpe Ratio of -0.0578, which conveys that the firm had a -0.0578% return per unit of risk over the last 3 months. Kingfa Science exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Kingfa Science's Mean Deviation of 1.65, standard deviation of 2.12, and Risk Adjusted Performance of (0.08) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kingfa Science's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kingfa Science is expected to be smaller as well. At this point, Kingfa Science Technology has a negative expected return of -0.12%. Please make sure to verify Kingfa Science's value at risk, rate of daily change, relative strength index, as well as the relationship between the kurtosis and market facilitation index , to decide if Kingfa Science Technology performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.6  

Good reverse predictability

Kingfa Science Technology has good reverse predictability. Overlapping area represents the amount of predictability between Kingfa Science time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Kingfa Science Technology price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current Kingfa Science price fluctuation can be explain by its past prices.
Correlation Coefficient-0.6
Spearman Rank Test-0.54
Residual Average0.0
Price Variance2719.83

Kingfa Science Technology lagged returns against current returns

Autocorrelation, which is Kingfa Science 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 Kingfa Science's stock expected returns. We can calculate the autocorrelation of Kingfa Science returns to help us make a trade decision. For example, suppose you find that Kingfa Science 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  

Kingfa Science 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 Kingfa Science stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kingfa Science stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kingfa Science stock over time.
   Current vs Lagged Prices   
       Timeline  

Kingfa Science Lagged Returns

When evaluating Kingfa Science's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kingfa Science stock have on its future price. Kingfa Science 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, Kingfa Science autocorrelation shows the relationship between Kingfa Science stock current value and its past values and can show if there is a momentum factor associated with investing in Kingfa Science Technology.
   Regressed Prices   
       Timeline  

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Other Information on Investing in Kingfa Stock

Kingfa Science financial ratios help investors to determine whether Kingfa Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Kingfa with respect to the benefits of owning Kingfa Science security.