NICE Information (Korea) Market Value
| 030190 Stock | KRW 11,640 70.00 0.61% |
| Symbol | NICE |
NICE Information '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 NICE Information'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 NICE Information.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in NICE Information on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding NICE Information Service or generate 0.0% return on investment in NICE Information over 30 days. NICE Information is related to or competes with LEENO Industrial, and SFA Engineering. NICE Information Service Co., Ltd. provides credit bureau and corporate intelligence services in South Korea More
NICE Information 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 NICE Information'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 NICE Information Service upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.79 | |||
| Information Ratio | 0.038 | |||
| Maximum Drawdown | 8.79 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 3.51 |
NICE Information Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NICE Information's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NICE Information's standard deviation. In reality, there are many statistical measures that can use NICE Information historical prices to predict the future NICE Information's volatility.| Risk Adjusted Performance | 0.0874 | |||
| Jensen Alpha | 0.2543 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0397 | |||
| Treynor Ratio | (0.35) |
NICE Information Service Backtested Returns
NICE Information appears to be very steady, given 3 months investment horizon. NICE Information Service retains Efficiency (Sharpe Ratio) of 0.13, which conveys that the firm had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for NICE Information, which you can use to evaluate the volatility of the firm. Please exercise NICE Information's Semi Deviation of 1.47, market risk adjusted performance of (0.34), and Mean Deviation of 1.39 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, NICE Information holds a performance score of 9. The company owns a Beta (Systematic Risk) of -0.54, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning NICE Information are expected to decrease at a much lower rate. During the bear market, NICE Information is likely to outperform the market. Please check NICE Information's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether NICE Information's current price history will revert.
Auto-correlation | 0.23 |
Weak predictability
NICE Information Service has weak predictability. Overlapping area represents the amount of predictability between NICE Information 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 NICE Information Service price movement. The serial correlation of 0.23 indicates that over 23.0% of current NICE Information price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 221.6 K |
NICE Information Service lagged returns against current returns
Autocorrelation, which is NICE Information 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 NICE Information's stock expected returns. We can calculate the autocorrelation of NICE Information returns to help us make a trade decision. For example, suppose you find that NICE Information 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 |
NICE Information 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 NICE Information stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NICE Information stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NICE Information stock over time.
Current vs Lagged Prices |
| Timeline |
NICE Information Lagged Returns
When evaluating NICE Information's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NICE Information stock have on its future price. NICE Information 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, NICE Information autocorrelation shows the relationship between NICE Information stock current value and its past values and can show if there is a momentum factor associated with investing in NICE Information Service.
Regressed Prices |
| Timeline |
Pair Trading with NICE Information
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if NICE Information position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in NICE Information will appreciate offsetting losses from the drop in the long position's value.Moving together with NICE Stock
Moving against NICE Stock
The ability to find closely correlated positions to NICE Information could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NICE Information when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back NICE Information - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling NICE Information Service to buy it.
The correlation of NICE Information is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as NICE Information moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NICE Information Service moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for NICE Information can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in NICE Stock
NICE Information financial ratios help investors to determine whether NICE 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 NICE with respect to the benefits of owning NICE Information security.