EMnet (Korea) Market Value
| 123570 Stock | 3,855 15.00 0.39% |
| Symbol | EMnet |
EMnet '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 EMnet'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 EMnet.
| 04/03/2024 |
| 05/03/2024 |
If you would invest 0.00 in EMnet on April 3, 2024 and sell it all today you would earn a total of 0.00 from holding eMnet Inc or generate 0.0% return on investment in EMnet over 30 days. EMnet is related to or competes with Koh Young, INtRON Biotechnology, Hana Technology, Haitai Confectionery, Value Added, Sempio Foods, and ADTechnology CoLtd. More
EMnet 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 EMnet'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 eMnet Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.05 | |||
| Information Ratio | 0.034 | |||
| Maximum Drawdown | 39.14 | |||
| Value At Risk | (4.59) | |||
| Potential Upside | 4.7 |
EMnet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for EMnet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as EMnet's standard deviation. In reality, there are many statistical measures that can use EMnet historical prices to predict the future EMnet's volatility.| Risk Adjusted Performance | 0.0379 | |||
| Jensen Alpha | 0.2532 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.0539 | |||
| Treynor Ratio | (0.22) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of EMnet'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.
eMnet Inc Backtested Returns
EMnet appears to be very steady, given 3 months investment horizon. eMnet Inc secures Sharpe Ratio (or Efficiency) of 0.0455, which denotes the company had a 0.0455% return per unit of risk over the last 3 months. We have found thirty technical indicators for eMnet Inc, which you can use to evaluate the volatility of the firm. Please utilize EMnet's Risk Adjusted Performance of 0.0379, semi deviation of 2.83, and Downside Deviation of 3.05 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, EMnet holds a performance score of 3. The firm shows a Beta (market volatility) of -0.97, which means possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning EMnet are expected to decrease slowly. On the other hand, during market turmoil, EMnet is expected to outperform it slightly. Please check EMnet's semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to make a quick decision on whether EMnet's price patterns will revert.
Auto-correlation | -0.63 |
Very good reverse predictability
eMnet Inc has very good reverse predictability. Overlapping area represents the amount of predictability between EMnet time series from 3rd of April 2024 to 18th of April 2024 and 18th of April 2024 to 3rd of May 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 eMnet Inc price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current EMnet price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 25.4 K |
eMnet Inc lagged returns against current returns
Autocorrelation, which is EMnet 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 EMnet's stock expected returns. We can calculate the autocorrelation of EMnet returns to help us make a trade decision. For example, suppose you find that EMnet 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 |
EMnet 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 EMnet stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if EMnet stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in EMnet stock over time.
Current vs Lagged Prices |
| Timeline |
EMnet Lagged Returns
When evaluating EMnet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of EMnet stock have on its future price. EMnet 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, EMnet autocorrelation shows the relationship between EMnet stock current value and its past values and can show if there is a momentum factor associated with investing in eMnet Inc.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards EMnet in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, EMnet's short interest history, or implied volatility extrapolated from EMnet options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out EMnet Correlation, EMnet Volatility and EMnet Alpha and Beta module to complement your research on EMnet. Note that the eMnet Inc information on this page should be used as a complementary analysis to other EMnet's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Complementary Tools for EMnet Stock analysis
When running EMnet's price analysis, check to measure EMnet'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 EMnet is operating at the current time. Most of EMnet's value examination focuses on studying past and present price action to predict the probability of EMnet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EMnet's price. Additionally, you may evaluate how the addition of EMnet to your portfolios can decrease your overall portfolio volatility.
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EMnet technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.