Tokuyama Corp Adr Stock Market Value
| TKYMY Stock | USD 9.55 0.55 5.45% |
| Symbol | Tokuyama |
Tokuyama Corp '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 Tokuyama Corp'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 Tokuyama Corp.
| 02/23/2024 |
| 05/23/2024 |
If you would invest 0.00 in Tokuyama Corp on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding Tokuyama Corp ADR or generate 0.0% return on investment in Tokuyama Corp over 90 days. Tokuyama Corp is related to or competes with Air Liquide, Sherwin Williams, Ecolab, Air Products, Dupont De, and PPG Industries. Tokuyama Corporation produces and sells various chemical products in Japan More
Tokuyama Corp 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 Tokuyama Corp'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 Tokuyama Corp ADR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.34 | |||
| Information Ratio | 0.0706 | |||
| Maximum Drawdown | 15.47 | |||
| Value At Risk | (0.77) | |||
| Potential Upside | 2.03 |
Tokuyama Corp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tokuyama Corp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tokuyama Corp's standard deviation. In reality, there are many statistical measures that can use Tokuyama Corp historical prices to predict the future Tokuyama Corp's volatility.| Risk Adjusted Performance | 0.0698 | |||
| Jensen Alpha | 0.2041 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.043 | |||
| Treynor Ratio | 1.88 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tokuyama Corp'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.
Tokuyama Corp ADR Backtested Returns
Tokuyama Corp appears to be not too volatile, given 3 months investment horizon. Tokuyama Corp ADR owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the firm had a 0.18% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Tokuyama Corp ADR, which you can use to evaluate the volatility of the company. Please review Tokuyama Corp's Coefficient Of Variation of 918.35, risk adjusted performance of 0.0698, and Semi Deviation of 1.13 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Tokuyama Corp holds a performance score of 13. The entity has a beta of 0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Tokuyama Corp's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tokuyama Corp is expected to be smaller as well. Please check Tokuyama Corp's value at risk, as well as the relationship between the kurtosis and period momentum indicator , to make a quick decision on whether Tokuyama Corp's existing price patterns will revert.
Auto-correlation | 0.76 |
Good predictability
Tokuyama Corp ADR has good predictability. Overlapping area represents the amount of predictability between Tokuyama Corp time series from 23rd of February 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Tokuyama Corp ADR price movement. The serial correlation of 0.76 indicates that around 76.0% of current Tokuyama Corp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Tokuyama Corp ADR lagged returns against current returns
Autocorrelation, which is Tokuyama Corp 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 Tokuyama Corp's pink sheet expected returns. We can calculate the autocorrelation of Tokuyama Corp returns to help us make a trade decision. For example, suppose you find that Tokuyama Corp 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 |
Tokuyama Corp 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 Tokuyama Corp pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tokuyama Corp pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tokuyama Corp pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Tokuyama Corp Lagged Returns
When evaluating Tokuyama Corp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tokuyama Corp pink sheet have on its future price. Tokuyama Corp 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, Tokuyama Corp autocorrelation shows the relationship between Tokuyama Corp pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Tokuyama Corp ADR.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Tokuyama Corp Correlation, Tokuyama Corp Volatility and Tokuyama Corp Alpha and Beta module to complement your research on Tokuyama Corp. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Complementary Tools for Tokuyama Pink Sheet analysis
When running Tokuyama Corp's price analysis, check to measure Tokuyama Corp'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 Tokuyama Corp is operating at the current time. Most of Tokuyama Corp's value examination focuses on studying past and present price action to predict the probability of Tokuyama Corp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tokuyama Corp's price. Additionally, you may evaluate how the addition of Tokuyama Corp to your portfolios can decrease your overall portfolio volatility.
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Tokuyama Corp 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.