Interflex (Korea) Market Value
| 051370 Stock | KRW 8,900 190.00 2.18% |
| Symbol | Interflex |
Interflex '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 Interflex'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 Interflex.
| 05/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in Interflex on May 27, 2024 and sell it all today you would earn a total of 0.00 from holding Interflex Co or generate 0.0% return on investment in Interflex over 180 days. Interflex is related to or competes with Korea Real, Korea Ratings, IQuest, and Wonbang Tech. Interflex Co., Ltd. manufactures and sells flexible printed circuit board in South Korea More
Interflex 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 Interflex'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 Interflex Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 9.71 | |||
| Value At Risk | (4.08) | |||
| Potential Upside | 3.91 |
Interflex Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Interflex's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Interflex's standard deviation. In reality, there are many statistical measures that can use Interflex historical prices to predict the future Interflex's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.33) | |||
| Total Risk Alpha | (0.75) | |||
| Treynor Ratio | 1.25 |
Interflex Backtested Returns
Interflex holds Efficiency (Sharpe) Ratio of -0.19, which attests that the entity had a -0.19% return per unit of risk over the last 3 months. Interflex exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Interflex's Risk Adjusted Performance of (0.11), market risk adjusted performance of 1.26, and Standard Deviation of 2.43 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.3, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Interflex are expected to decrease at a much lower rate. During the bear market, Interflex is likely to outperform the market. At this point, Interflex has a negative expected return of -0.43%. Please make sure to check out Interflex's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if Interflex performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.87 |
Very good predictability
Interflex Co has very good predictability. Overlapping area represents the amount of predictability between Interflex time series from 27th of May 2024 to 25th of August 2024 and 25th of August 2024 to 23rd 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 Interflex price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Interflex price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 1 M |
Interflex lagged returns against current returns
Autocorrelation, which is Interflex 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 Interflex's stock expected returns. We can calculate the autocorrelation of Interflex returns to help us make a trade decision. For example, suppose you find that Interflex 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 |
Interflex 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 Interflex stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Interflex stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Interflex stock over time.
Current vs Lagged Prices |
| Timeline |
Interflex Lagged Returns
When evaluating Interflex's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Interflex stock have on its future price. Interflex 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, Interflex autocorrelation shows the relationship between Interflex stock current value and its past values and can show if there is a momentum factor associated with investing in Interflex Co.
Regressed Prices |
| Timeline |
Pair Trading with Interflex
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 Interflex 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 Interflex will appreciate offsetting losses from the drop in the long position's value.Moving together with Interflex Stock
The ability to find closely correlated positions to Interflex could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Interflex 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 Interflex - 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 Interflex Co to buy it.
The correlation of Interflex 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 Interflex moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Interflex 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 Interflex 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 Interflex Stock
Interflex financial ratios help investors to determine whether Interflex 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 Interflex with respect to the benefits of owning Interflex security.