Unicharm Stock Market Value
UNCHF Stock | USD 28.81 0.25 0.86% |
Symbol | Unicharm |
Unicharm '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 Unicharm's pink sheet 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 Unicharm.
03/18/2024 |
| 04/17/2024 |
If you would invest 0.00 in Unicharm on March 18, 2024 and sell it all today you would earn a total of 0.00 from holding Unicharm or generate 0.0% return on investment in Unicharm over 30 days. Unicharm is related to or competes with L’Oreal Co, Unilever PLC, Kimberly Clark, Clorox, Colgate Palmolive, Inter Parfums, and Honest. Unicharm Corporation engages in the manufacture and sale of baby and childcare, feminine care, health care, cosmetic, ho... More
Unicharm 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 Unicharm's pink sheet 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 Unicharm upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.12) | |||
Maximum Drawdown | 13.62 | |||
Value At Risk | (4.66) | |||
Potential Upside | 4.73 |
Unicharm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Unicharm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Unicharm's standard deviation. In reality, there are many statistical measures that can use Unicharm historical prices to predict the future Unicharm's volatility.Risk Adjusted Performance | (0.05) | |||
Jensen Alpha | (0.33) | |||
Total Risk Alpha | (0.49) | |||
Treynor Ratio | (0.26) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Unicharm'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.
Unicharm Backtested Returns
Unicharm owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12% return per unit of risk over the last 3 months. Unicharm exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Unicharm's Risk Adjusted Performance of (0.05), coefficient of variation of (1,020), and Variance of 7.52 to confirm the risk estimate we provide. The entity has a beta of 1.06, which indicates a somewhat significant risk relative to the market. Unicharm returns are very sensitive to returns on the market. As the market goes up or down, Unicharm is expected to follow. Unicharm has an expected return of -0.3%. Please make sure to validate Unicharm maximum drawdown, daily balance of power, period momentum indicator, as well as the relationship between the skewness and day typical price , to decide if Unicharm performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.55 |
Modest predictability
Unicharm has modest predictability. Overlapping area represents the amount of predictability between Unicharm time series from 18th of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 17th 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 Unicharm price movement. The serial correlation of 0.55 indicates that about 55.0% of current Unicharm price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.55 | |
Spearman Rank Test | 0.26 | |
Residual Average | 0.0 | |
Price Variance | 0.37 |
Unicharm lagged returns against current returns
Autocorrelation, which is Unicharm pink sheet'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 Unicharm's pink sheet expected returns. We can calculate the autocorrelation of Unicharm returns to help us make a trade decision. For example, suppose you find that Unicharm has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Unicharm 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 Unicharm pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Unicharm pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Unicharm pink sheet over time.
Current vs Lagged Prices |
Timeline |
Unicharm Lagged Returns
When evaluating Unicharm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Unicharm pink sheet have on its future price. Unicharm 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, Unicharm autocorrelation shows the relationship between Unicharm pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Unicharm.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Unicharm in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Unicharm's short interest history, or implied volatility extrapolated from Unicharm options trading.
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Check out Unicharm Correlation, Unicharm Volatility and Unicharm Alpha and Beta module to complement your research on Unicharm. Note that the Unicharm information on this page should be used as a complementary analysis to other Unicharm'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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for Unicharm Pink Sheet analysis
When running Unicharm's price analysis, check to measure Unicharm'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 Unicharm is operating at the current time. Most of Unicharm's value examination focuses on studying past and present price action to predict the probability of Unicharm's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Unicharm's price. Additionally, you may evaluate how the addition of Unicharm to your portfolios can decrease your overall portfolio volatility.
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Unicharm technical pink sheet 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, pink sheet market cycles, or different charting patterns.