COWELL FASHION (Korea) Market Value
| 033290 Stock | KRW 3,200 35.00 1.11% |
| Symbol | COWELL |
COWELL FASHION '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 COWELL FASHION'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 COWELL FASHION.
| 03/31/2024 |
| 04/30/2024 |
If you would invest 0.00 in COWELL FASHION on March 31, 2024 and sell it all today you would earn a total of 0.00 from holding COWELL FASHION CoLtd or generate 0.0% return on investment in COWELL FASHION over 30 days. COWELL FASHION is related to or competes with Samsung Electronics, Samsung Electronics, KB Financial, Shinhan Financial, Hyundai, Hyundai, and SK Hynix. ,Ltd manufactures and sells lifestyle products in South Korea and internationally More
COWELL FASHION 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 COWELL FASHION'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 COWELL FASHION CoLtd upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 30.72 | |||
| Value At Risk | (6.00) | |||
| Potential Upside | 4.29 |
COWELL FASHION Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for COWELL FASHION's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as COWELL FASHION's standard deviation. In reality, there are many statistical measures that can use COWELL FASHION historical prices to predict the future COWELL FASHION's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.90) | |||
| Total Risk Alpha | (1.30) | |||
| Treynor Ratio | 6.27 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of COWELL FASHION'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.
COWELL FASHION CoLtd Backtested Returns
COWELL FASHION CoLtd secures Sharpe Ratio (or Efficiency) of -0.05, which signifies that the company had a -0.05% return per unit of volatility over the last 3 months. COWELL FASHION CoLtd exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm COWELL FASHION's risk adjusted performance of (0.10), and Mean Deviation of 2.92 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning COWELL FASHION are expected to decrease at a much lower rate. During the bear market, COWELL FASHION is likely to outperform the market. COWELL FASHION CoLtd has an expected return of -0.21%. Please make sure to confirm COWELL FASHION CoLtd treynor ratio, value at risk, skewness, as well as the relationship between the maximum drawdown and potential upside , to decide if COWELL FASHION CoLtd performance from the past will be repeated at future time.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
COWELL FASHION CoLtd has almost perfect reverse predictability. Overlapping area represents the amount of predictability between COWELL FASHION time series from 31st of March 2024 to 15th of April 2024 and 15th of April 2024 to 30th of April 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 COWELL FASHION CoLtd price movement. The serial correlation of -0.74 indicates that around 74.0% of current COWELL FASHION price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 6859.0 |
COWELL FASHION CoLtd lagged returns against current returns
Autocorrelation, which is COWELL FASHION 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 COWELL FASHION's stock expected returns. We can calculate the autocorrelation of COWELL FASHION returns to help us make a trade decision. For example, suppose you find that COWELL FASHION 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 |
COWELL FASHION 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 COWELL FASHION stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if COWELL FASHION stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in COWELL FASHION stock over time.
Current vs Lagged Prices |
| Timeline |
COWELL FASHION Lagged Returns
When evaluating COWELL FASHION's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of COWELL FASHION stock have on its future price. COWELL FASHION 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, COWELL FASHION autocorrelation shows the relationship between COWELL FASHION stock current value and its past values and can show if there is a momentum factor associated with investing in COWELL FASHION CoLtd.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out COWELL FASHION Correlation, COWELL FASHION Volatility and COWELL FASHION Alpha and Beta module to complement your research on COWELL FASHION. Note that the COWELL FASHION CoLtd information on this page should be used as a complementary analysis to other COWELL FASHION'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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Complementary Tools for COWELL Stock analysis
When running COWELL FASHION's price analysis, check to measure COWELL FASHION'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 COWELL FASHION is operating at the current time. Most of COWELL FASHION's value examination focuses on studying past and present price action to predict the probability of COWELL FASHION's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move COWELL FASHION's price. Additionally, you may evaluate how the addition of COWELL FASHION to your portfolios can decrease your overall portfolio volatility.
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COWELL FASHION 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.