Booster (Korea) Market Value
| 008470 Stock | KRW 3,700 10.00 0.27% |
| Symbol | Booster |
Booster '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 Booster'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 Booster.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Booster on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Booster Co or generate 0.0% return on investment in Booster over 90 days. Booster is related to or competes with Sempio Foods, CU Tech, Samick Musical, Orbitech, and Hwangkum Steel. Booster Co., Ltd. designs, manufactures, and markets commercial and industrial boilers in South Korea More
Booster 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 Booster'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 Booster Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0481 | |||
| Maximum Drawdown | 4.32 | |||
| Value At Risk | (1.68) | |||
| Potential Upside | 1.45 |
Booster Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Booster's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Booster's standard deviation. In reality, there are many statistical measures that can use Booster historical prices to predict the future Booster's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | 0.037 | |||
| Treynor Ratio | 0.9883 |
Booster Backtested Returns
Booster secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12 % return per unit of risk over the last 3 months. Booster Co exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Booster's Risk Adjusted Performance of (0.06), standard deviation of 0.8424, and Mean Deviation of 0.5816 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0693, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Booster are expected to decrease at a much lower rate. During the bear market, Booster is likely to outperform the market. At this point, Booster has a negative expected return of -0.0815%. Please make sure to confirm Booster's total risk alpha, maximum drawdown, and the relationship between the jensen alpha and treynor ratio , to decide if Booster performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.39 |
Below average predictability
Booster Co has below average predictability. Overlapping area represents the amount of predictability between Booster time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Booster price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Booster price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 1212.24 |
Booster lagged returns against current returns
Autocorrelation, which is Booster 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 Booster's stock expected returns. We can calculate the autocorrelation of Booster returns to help us make a trade decision. For example, suppose you find that Booster 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 |
Booster 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 Booster stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Booster stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Booster stock over time.
Current vs Lagged Prices |
| Timeline |
Booster Lagged Returns
When evaluating Booster's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Booster stock have on its future price. Booster 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, Booster autocorrelation shows the relationship between Booster stock current value and its past values and can show if there is a momentum factor associated with investing in Booster Co.
Regressed Prices |
| Timeline |
Pair Trading with Booster
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 Booster 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 Booster will appreciate offsetting losses from the drop in the long position's value.Moving against Booster Stock
| 0.57 | 011200 | HMM Co | PairCorr |
| 0.52 | 059270 | Haisung TPC | PairCorr |
| 0.51 | 277810 | Rainbow Robotics | PairCorr |
| 0.49 | 317830 | SP Systems CoLtd | PairCorr |
| 0.49 | 030200 | KT Corporation | PairCorr |
The ability to find closely correlated positions to Booster could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Booster 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 Booster - 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 Booster Co to buy it.
The correlation of Booster 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 Booster moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Booster 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 Booster 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 Booster Stock
Booster financial ratios help investors to determine whether Booster 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 Booster with respect to the benefits of owning Booster security.