Young Poong (Korea) Market Value
| 000670 Stock | 439,500 21,500 5.14% |
| Symbol | Young |
Young Poong '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 Young Poong'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 Young Poong.
| 10/24/2024 |
| 01/22/2025 |
If you would invest 0.00 in Young Poong on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Young Poong Corp or generate 0.0% return on investment in Young Poong over 90 days.
Young Poong 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 Young Poong'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 Young Poong Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.1 | |||
| Information Ratio | 0.0936 | |||
| Maximum Drawdown | 18.47 | |||
| Value At Risk | (4.43) | |||
| Potential Upside | 7.52 |
Young Poong Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Young Poong's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Young Poong's standard deviation. In reality, there are many statistical measures that can use Young Poong historical prices to predict the future Young Poong's volatility.| Risk Adjusted Performance | 0.0946 | |||
| Jensen Alpha | 0.368 | |||
| Total Risk Alpha | 0.2663 | |||
| Sortino Ratio | 0.1144 | |||
| Treynor Ratio | 0.7962 |
Young Poong Corp Backtested Returns
Young Poong appears to be very steady, given 3 months investment horizon. Young Poong Corp shows Sharpe Ratio of 0.1, which attests that the company had a 0.1 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Young Poong Corp, which you can use to evaluate the volatility of the company. Please utilize Young Poong's Downside Deviation of 3.1, mean deviation of 2.74, and Market Risk Adjusted Performance of 0.8062 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Young Poong holds a performance score of 8. The firm maintains a market beta of 0.48, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Young Poong's returns are expected to increase less than the market. However, during the bear market, the loss of holding Young Poong is expected to be smaller as well. Please check Young Poong's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Young Poong's historical returns will revert.
Auto-correlation | 0.16 |
Very weak predictability
Young Poong Corp has very weak predictability. Overlapping area represents the amount of predictability between Young Poong time series from 24th of October 2024 to 8th of December 2024 and 8th of December 2024 to 22nd 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 Young Poong Corp price movement. The serial correlation of 0.16 indicates that over 16.0% of current Young Poong price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 152.9 M |
Young Poong Corp lagged returns against current returns
Autocorrelation, which is Young Poong 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 Young Poong's stock expected returns. We can calculate the autocorrelation of Young Poong returns to help us make a trade decision. For example, suppose you find that Young Poong 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 |
Young Poong 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 Young Poong stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Young Poong stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Young Poong stock over time.
Current vs Lagged Prices |
| Timeline |
Young Poong Lagged Returns
When evaluating Young Poong's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Young Poong stock have on its future price. Young Poong 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, Young Poong autocorrelation shows the relationship between Young Poong stock current value and its past values and can show if there is a momentum factor associated with investing in Young Poong Corp.
Regressed Prices |
| Timeline |
Pair Trading with Young Poong
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 Young Poong 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 Young Poong will appreciate offsetting losses from the drop in the long position's value.Moving against Young Stock
| 0.36 | 005930 | Samsung Electronics Earnings Call This Week | PairCorr |
| 0.34 | 006400 | Samsung SDI Earnings Call This Week | PairCorr |
| 0.32 | 005385 | Hyundai Motor Earnings Call Tomorrow | PairCorr |
The ability to find closely correlated positions to Young Poong could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Young Poong 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 Young Poong - 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 Young Poong Corp to buy it.
The correlation of Young Poong 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 Young Poong moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Young Poong Corp 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 Young Poong 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.