InfoBank (Korea) Market Value
| 039290 Stock | KRW 7,360 90.00 1.24% |
| Symbol | InfoBank |
InfoBank '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 InfoBank'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 InfoBank.
| 01/06/2023 |
| 11/26/2024 |
If you would invest 0.00 in InfoBank on January 6, 2023 and sell it all today you would earn a total of 0.00 from holding InfoBank or generate 0.0% return on investment in InfoBank over 690 days. InfoBank is related to or competes with Korea Real, Korea Ratings, IQuest, and Wonbang Tech. Infobank Corporation provides mobile applications in South Korea More
InfoBank 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 InfoBank'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 InfoBank upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.98 | |||
| Information Ratio | 0.0117 | |||
| Maximum Drawdown | 22.29 | |||
| Value At Risk | (5.82) | |||
| Potential Upside | 8.11 |
InfoBank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for InfoBank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as InfoBank's standard deviation. In reality, there are many statistical measures that can use InfoBank historical prices to predict the future InfoBank's volatility.| Risk Adjusted Performance | 0.0422 | |||
| Jensen Alpha | 0.0414 | |||
| Total Risk Alpha | (0.44) | |||
| Sortino Ratio | 0.0154 | |||
| Treynor Ratio | 0.1586 |
InfoBank Backtested Returns
InfoBank appears to be very steady, given 3 months investment horizon. InfoBank holds Efficiency (Sharpe) Ratio of 0.0584, which attests that the entity had a 0.0584% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for InfoBank, which you can use to evaluate the volatility of the firm. Please utilize InfoBank's Market Risk Adjusted Performance of 0.1686, risk adjusted performance of 0.0422, and Downside Deviation of 2.98 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, InfoBank holds a performance score of 4. The company retains a Market Volatility (i.e., Beta) of 1.04, which attests to a somewhat significant risk relative to the market. InfoBank returns are very sensitive to returns on the market. As the market goes up or down, InfoBank is expected to follow. Please check InfoBank's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to make a quick decision on whether InfoBank's current trending patterns will revert.
Auto-correlation | 0.69 |
Good predictability
InfoBank has good predictability. Overlapping area represents the amount of predictability between InfoBank time series from 6th of January 2023 to 17th of December 2023 and 17th of December 2023 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 InfoBank price movement. The serial correlation of 0.69 indicates that around 69.0% of current InfoBank price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 3.9 M |
InfoBank lagged returns against current returns
Autocorrelation, which is InfoBank 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 InfoBank's stock expected returns. We can calculate the autocorrelation of InfoBank returns to help us make a trade decision. For example, suppose you find that InfoBank 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 |
InfoBank 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 InfoBank stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if InfoBank stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in InfoBank stock over time.
Current vs Lagged Prices |
| Timeline |
InfoBank Lagged Returns
When evaluating InfoBank's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of InfoBank stock have on its future price. InfoBank 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, InfoBank autocorrelation shows the relationship between InfoBank stock current value and its past values and can show if there is a momentum factor associated with investing in InfoBank.
Regressed Prices |
| Timeline |
Pair Trading with InfoBank
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 InfoBank 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 InfoBank will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to InfoBank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace InfoBank 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 InfoBank - 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 InfoBank to buy it.
The correlation of InfoBank 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 InfoBank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if InfoBank 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 InfoBank 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 InfoBank Stock
InfoBank financial ratios help investors to determine whether InfoBank 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 InfoBank with respect to the benefits of owning InfoBank security.