Hyundai CF (Korea) Market Value
| 227840 Stock | 10,240 60.00 0.58% |
| Symbol | Hyundai |
Hyundai CF '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 Hyundai CF'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 Hyundai CF.
| 11/05/2024 |
| 01/04/2025 |
If you would invest 0.00 in Hyundai CF on November 5, 2024 and sell it all today you would earn a total of 0.00 from holding Hyundai CF or generate 0.0% return on investment in Hyundai CF over 60 days.
Hyundai CF 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 Hyundai CF'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 Hyundai CF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8631 | |||
| Information Ratio | 0.0208 | |||
| Maximum Drawdown | 3.55 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.18 |
Hyundai CF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hyundai CF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hyundai CF's standard deviation. In reality, there are many statistical measures that can use Hyundai CF historical prices to predict the future Hyundai CF's volatility.| Risk Adjusted Performance | 0.0413 | |||
| Jensen Alpha | 0.0242 | |||
| Total Risk Alpha | 0.0163 | |||
| Sortino Ratio | 0.0168 | |||
| Treynor Ratio | 0.1259 |
Hyundai CF Backtested Returns
At this point, Hyundai CF is very steady. Hyundai CF holds Efficiency (Sharpe) Ratio of 0.0634, which attests that the entity had a 0.0634% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Hyundai CF, which you can use to evaluate the volatility of the firm. Please check out Hyundai CF's Market Risk Adjusted Performance of 0.1359, risk adjusted performance of 0.0413, and Downside Deviation of 0.8631 to validate if the risk estimate we provide is consistent with the expected return of 0.0444%. Hyundai CF has a performance score of 4 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.21, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hyundai CF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hyundai CF is expected to be smaller as well. Hyundai CF right now retains a risk of 0.7%. Please check out Hyundai CF standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to decide if Hyundai CF will be following its current trending patterns.
Auto-correlation | -0.33 |
Poor reverse predictability
Hyundai CF has poor reverse predictability. Overlapping area represents the amount of predictability between Hyundai CF time series from 5th of November 2024 to 5th of December 2024 and 5th of December 2024 to 4th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Hyundai CF price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Hyundai CF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 14.6 K |
Hyundai CF lagged returns against current returns
Autocorrelation, which is Hyundai CF 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 Hyundai CF's stock expected returns. We can calculate the autocorrelation of Hyundai CF returns to help us make a trade decision. For example, suppose you find that Hyundai CF 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 |
Hyundai CF 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 Hyundai CF stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hyundai CF stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hyundai CF stock over time.
Current vs Lagged Prices |
| Timeline |
Hyundai CF Lagged Returns
When evaluating Hyundai CF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hyundai CF stock have on its future price. Hyundai CF 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, Hyundai CF autocorrelation shows the relationship between Hyundai CF stock current value and its past values and can show if there is a momentum factor associated with investing in Hyundai CF.
Regressed Prices |
| Timeline |
Pair Trading with Hyundai CF
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 Hyundai CF 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 Hyundai CF will appreciate offsetting losses from the drop in the long position's value.Moving against Hyundai Stock
| 0.38 | 373220 | LG Energy Solution | PairCorr |
| 0.36 | 005935 | Samsung Electronics | PairCorr |
| 0.36 | 006400 | Samsung SDI | PairCorr |
| 0.33 | 051915 | LG Chem | PairCorr |
| 0.31 | 005930 | Samsung Electronics | PairCorr |
The ability to find closely correlated positions to Hyundai CF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hyundai CF 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 Hyundai CF - 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 Hyundai CF to buy it.
The correlation of Hyundai CF 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 Hyundai CF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hyundai CF 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 Hyundai CF 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.