LF (Korea) Market Value
| 066970 Stock | KRW 98,300 6,100 5.84% |
| Symbol | LF |
LF '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 LF'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 LF.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in LF on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding LF Co or generate 0.0% return on investment in LF over 30 days. LF is related to or competes with Dongsin Engineering, Doosan Fuel, Daishin Balance, Total Soft, AptaBio Therapeutics, ASTORY CoLtd, and Daewoo SBI. LF Co., Ltd. manufactures and sell electronic components in Korea. More
LF 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 LF'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 LF Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.08 | |||
| Information Ratio | 0.0095 | |||
| Maximum Drawdown | 22.65 | |||
| Value At Risk | (6.06) | |||
| Potential Upside | 9.28 |
LF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LF's standard deviation. In reality, there are many statistical measures that can use LF historical prices to predict the future LF's volatility.| Risk Adjusted Performance | 0.0386 | |||
| Jensen Alpha | 0.359 | |||
| Total Risk Alpha | (0.59) | |||
| Sortino Ratio | 0.0107 | |||
| Treynor Ratio | (0.12) |
LF Co Backtested Returns
At this point, LF is very steady. LF Co retains Efficiency (Sharpe Ratio) of 0.0255, which conveys that the firm had a 0.0255% return per unit of price deviation over the last 3 months. We have found thirty technical indicators for LF, which you can use to evaluate the volatility of the firm. Please verify LF's Market Risk Adjusted Performance of (0.11), mean deviation of 3.5, and Standard Deviation of 4.58 to check out if the risk estimate we provide is consistent with the expected return of 0.12%. LF has a performance score of 2 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of -1.47, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning LF are expected to decrease by larger amounts. On the other hand, during market turmoil, LF is expected to outperform it. LF Co today owns a risk of 4.73%. Please verify LF Co market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to decide if LF Co will be following its current price history.
Auto-correlation | 0.26 |
Poor predictability
LF Co has poor predictability. Overlapping area represents the amount of predictability between LF time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 LF Co price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current LF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 16.1 M |
LF Co lagged returns against current returns
Autocorrelation, which is LF 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 LF's stock expected returns. We can calculate the autocorrelation of LF returns to help us make a trade decision. For example, suppose you find that LF 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 |
LF 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 LF stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LF stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LF stock over time.
Current vs Lagged Prices |
| Timeline |
LF Lagged Returns
When evaluating LF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LF stock have on its future price. LF 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, LF autocorrelation shows the relationship between LF stock current value and its past values and can show if there is a momentum factor associated with investing in LF Co.
Regressed Prices |
| Timeline |
Pair Trading with LF
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 LF 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 LF will appreciate offsetting losses from the drop in the long position's value.Moving against LF Stock
The ability to find closely correlated positions to LF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace LF 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 LF - 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 LF Co to buy it.
The correlation of LF 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 LF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if LF Co 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 LF 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 LF Stock
LF financial ratios help investors to determine whether LF 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 LF with respect to the benefits of owning LF security.