FOODWELL (Korea) Market Value
005670 Stock | KRW 4,645 35.00 0.75% |
Symbol | FOODWELL |
FOODWELL '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 FOODWELL'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 FOODWELL.
05/12/2022 |
| 05/01/2024 |
If you would invest 0.00 in FOODWELL on May 12, 2022 and sell it all today you would earn a total of 0.00 from holding FOODWELL Co or generate 0.0% return on investment in FOODWELL over 720 days. FOODWELL is related to or competes with Woori Technology, Ewon Comfortech, Vitzro Tech, Korea Information, Narae Nanotech, and SS TECH. Foodwell Corporationration offer processed fruit solutions to food companies in South Korea. More
FOODWELL 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 FOODWELL'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 FOODWELL Co upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.07) | |||
Maximum Drawdown | 7.02 | |||
Value At Risk | (1.43) | |||
Potential Upside | 1.77 |
FOODWELL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FOODWELL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FOODWELL's standard deviation. In reality, there are many statistical measures that can use FOODWELL historical prices to predict the future FOODWELL's volatility.Risk Adjusted Performance | (0) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.10) | |||
Treynor Ratio | 0.7312 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FOODWELL's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
FOODWELL Backtested Returns
FOODWELL secures Sharpe Ratio (or Efficiency) of -0.0125, which denotes the company had a -0.0125% return per unit of risk over the last 3 months. FOODWELL Co exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FOODWELL's Mean Deviation of 0.7133, coefficient of variation of (10,069), and Standard Deviation of 1.07 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0282, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning FOODWELL are expected to decrease at a much lower rate. During the bear market, FOODWELL is likely to outperform the market. FOODWELL has an expected return of -0.0137%. Please make sure to confirm FOODWELL total risk alpha, maximum drawdown, and the relationship between the jensen alpha and treynor ratio , to decide if FOODWELL performance from the past will be repeated at future time.
Auto-correlation | 0.62 |
Good predictability
FOODWELL Co has good predictability. Overlapping area represents the amount of predictability between FOODWELL time series from 12th of May 2022 to 7th of May 2023 and 7th of May 2023 to 1st of May 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 FOODWELL price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current FOODWELL price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.62 | |
Spearman Rank Test | 0.62 | |
Residual Average | 0.0 | |
Price Variance | 101.1 K |
FOODWELL lagged returns against current returns
Autocorrelation, which is FOODWELL 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 FOODWELL's stock expected returns. We can calculate the autocorrelation of FOODWELL returns to help us make a trade decision. For example, suppose you find that FOODWELL 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 |
FOODWELL 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 FOODWELL stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FOODWELL stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FOODWELL stock over time.
Current vs Lagged Prices |
Timeline |
FOODWELL Lagged Returns
When evaluating FOODWELL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FOODWELL stock have on its future price. FOODWELL 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, FOODWELL autocorrelation shows the relationship between FOODWELL stock current value and its past values and can show if there is a momentum factor associated with investing in FOODWELL Co.
Regressed Prices |
Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out FOODWELL Correlation, FOODWELL Volatility and FOODWELL Alpha and Beta module to complement your research on FOODWELL. Note that the FOODWELL information on this page should be used as a complementary analysis to other FOODWELL's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Complementary Tools for FOODWELL Stock analysis
When running FOODWELL's price analysis, check to measure FOODWELL's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy FOODWELL is operating at the current time. Most of FOODWELL's value examination focuses on studying past and present price action to predict the probability of FOODWELL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FOODWELL's price. Additionally, you may evaluate how the addition of FOODWELL to your portfolios can decrease your overall portfolio volatility.
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FOODWELL technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.