Ntt Data Corp Stock Market Value

NTDTY Stock  USD 19.04  0.65  3.30%   
NTT Data's market value is the price at which a share of NTT Data trades on a public exchange. It measures the collective expectations of NTT Data Corp investors about its performance. NTT Data is trading at 19.04 as of the 16th of December 2024; that is 3.3% down since the beginning of the trading day. The stock's open price was 19.69.
With this module, you can estimate the performance of a buy and hold strategy of NTT Data Corp and determine expected loss or profit from investing in NTT Data over a given investment horizon. Check out NTT Data Correlation, NTT Data Volatility and NTT Data Alpha and Beta module to complement your research on NTT Data.
Symbol

Please note, there is a significant difference between NTT Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if NTT Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NTT Data'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.

NTT Data '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 NTT Data's pink sheet 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 NTT Data.
0.00
10/23/2023
No Change 0.00  0.0 
In 1 year 1 month and 24 days
12/16/2024
0.00
If you would invest  0.00  in NTT Data on October 23, 2023 and sell it all today you would earn a total of 0.00 from holding NTT Data Corp or generate 0.0% return on investment in NTT Data over 420 days. NTT Data is related to or competes with EPAM Systems, Concentrix, Gartner, Accenture Plc, FiscalNote Holdings, Innodata, and International Business. NTT DATA Corporation provides IT and business services worldwide More

NTT Data 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 NTT Data's pink sheet 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 NTT Data Corp upside and downside potential and time the market with a certain degree of confidence.

NTT Data Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for NTT Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NTT Data's standard deviation. In reality, there are many statistical measures that can use NTT Data historical prices to predict the future NTT Data's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of NTT Data's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
15.9419.0422.14
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Intrinsic
Valuation
LowRealHigh
14.9018.0021.10
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NTT Data Corp Backtested Returns

At this stage we consider NTT Pink Sheet to be not too volatile. NTT Data Corp has Sharpe Ratio of 0.0608, which conveys that the firm had a 0.0608% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for NTT Data, which you can use to evaluate the volatility of the firm. Please verify NTT Data's Mean Deviation of 2.34, risk adjusted performance of 0.0668, and Market Risk Adjusted Performance of 0.2615 to check out if the risk estimate we provide is consistent with the expected return of 0.19%. NTT Data has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.96, which conveys possible diversification benefits within a given portfolio. NTT Data returns are very sensitive to returns on the market. As the market goes up or down, NTT Data is expected to follow. NTT Data Corp presently secures a risk of 3.1%. Please verify NTT Data Corp downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to decide if NTT Data Corp will be following its current price movements.

Auto-correlation

    
  0.58  

Modest predictability

NTT Data Corp has modest predictability. Overlapping area represents the amount of predictability between NTT Data time series from 23rd of October 2023 to 20th of May 2024 and 20th of May 2024 to 16th of December 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 NTT Data Corp price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current NTT Data price fluctuation can be explain by its past prices.
Correlation Coefficient0.58
Spearman Rank Test0.59
Residual Average0.0
Price Variance3.09

NTT Data Corp lagged returns against current returns

Autocorrelation, which is NTT Data pink sheet'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 NTT Data's pink sheet expected returns. We can calculate the autocorrelation of NTT Data returns to help us make a trade decision. For example, suppose you find that NTT Data has exhibited high autocorrelation historically, and you observe that the pink sheet 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  

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

NTT Data Lagged Returns

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

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Additional Tools for NTT Pink Sheet Analysis

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