Dai Nippon Printing Stock Market Value
| DNPCF Stock | USD 29.36 0.00 0.00% |
| Symbol | Dai |
Dai Nippon '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 Dai Nippon'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 Dai Nippon.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Dai Nippon on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding Dai Nippon Printing or generate 0.0% return on investment in Dai Nippon over 720 days. Dai Nippon is related to or competes with Thomson Reuters, Cintas, Global Payments, Wolters Kluwer, Wolters Kluwer, Sodexo PK, and Sodexo SA. Dai Nippon Printing Co., Ltd. primarily engages in the printing business More
Dai Nippon 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 Dai Nippon'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 Dai Nippon Printing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 12.83 |
Dai Nippon Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dai Nippon's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dai Nippon's standard deviation. In reality, there are many statistical measures that can use Dai Nippon historical prices to predict the future Dai Nippon's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dai Nippon'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.
Dai Nippon Printing Backtested Returns
Dai Nippon Printing secures Sharpe Ratio (or Efficiency) of -0.0098, which denotes the company had a -0.0098% return per unit of risk over the last 3 months. Dai Nippon Printing exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dai Nippon's Standard Deviation of 1.2, variance of 1.45, and Mean Deviation of 0.2709 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0291, which means not very significant fluctuations relative to the market. As returns on the market increase, Dai Nippon's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dai Nippon is expected to be smaller as well. Dai Nippon Printing has an expected return of -0.0122%. Please make sure to confirm Dai Nippon Printing information ratio, as well as the relationship between the skewness and day median price , to decide if Dai Nippon Printing performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.45 |
Modest reverse predictability
Dai Nippon Printing has modest reverse predictability. Overlapping area represents the amount of predictability between Dai Nippon time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th 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 Dai Nippon Printing price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Dai Nippon price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 3.67 |
Dai Nippon Printing lagged returns against current returns
Autocorrelation, which is Dai Nippon 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 Dai Nippon's pink sheet expected returns. We can calculate the autocorrelation of Dai Nippon returns to help us make a trade decision. For example, suppose you find that Dai Nippon 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 |
Dai Nippon 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 Dai Nippon pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dai Nippon pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dai Nippon pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Dai Nippon Lagged Returns
When evaluating Dai Nippon's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dai Nippon pink sheet have on its future price. Dai Nippon 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, Dai Nippon autocorrelation shows the relationship between Dai Nippon pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Dai Nippon Printing.
Regressed Prices |
| Timeline |
Pair Trading with Dai Nippon
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 Dai Nippon 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 Dai Nippon will appreciate offsetting losses from the drop in the long position's value.Moving against Dai Pink Sheet
| 0.55 | TLPFF | Teleperformance SE | PairCorr |
| 0.54 | TLPFY | Teleperformance PK Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Dai Nippon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dai Nippon 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 Dai Nippon - 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 Dai Nippon Printing to buy it.
The correlation of Dai Nippon 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 Dai Nippon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dai Nippon Printing 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 Dai Nippon 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.Check out Dai Nippon Correlation, Dai Nippon Volatility and Dai Nippon Alpha and Beta module to complement your research on Dai Nippon. Note that the Dai Nippon Printing information on this page should be used as a complementary analysis to other Dai Nippon'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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Dai Pink Sheet analysis
When running Dai Nippon's price analysis, check to measure Dai Nippon'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 Dai Nippon is operating at the current time. Most of Dai Nippon's value examination focuses on studying past and present price action to predict the probability of Dai Nippon's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dai Nippon's price. Additionally, you may evaluate how the addition of Dai Nippon to your portfolios can decrease your overall portfolio volatility.
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Dai Nippon 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.