Rakuten Inc Adr Stock Market Value
| RKUNY Stock | USD 4.91 0.03 0.61% |
| Symbol | Rakuten |
Rakuten '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 Rakuten'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 Rakuten.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Rakuten on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Rakuten Inc ADR or generate 0.0% return on investment in Rakuten over 30 days. Rakuten is related to or competes with Delivery Hero, Liquidity Services, Wayfair, ThredUp, EBay, Chewy, and Vipshop Holdings. Rakuten Group, Inc. offers internet services in Japan and internationally More
Rakuten 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 Rakuten'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 Rakuten Inc ADR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.41 | |||
| Information Ratio | 0.0102 | |||
| Maximum Drawdown | 19.92 | |||
| Value At Risk | (4.27) | |||
| Potential Upside | 5.12 |
Rakuten Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rakuten's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rakuten's standard deviation. In reality, there are many statistical measures that can use Rakuten historical prices to predict the future Rakuten's volatility.| Risk Adjusted Performance | 0.0327 | |||
| Jensen Alpha | 0.0193 | |||
| Total Risk Alpha | (0.26) | |||
| Sortino Ratio | 0.0126 | |||
| Treynor Ratio | 0.0947 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Rakuten'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.
Rakuten Inc ADR Backtested Returns
We consider Rakuten moderately volatile. Rakuten Inc ADR maintains Sharpe Ratio (i.e., Efficiency) of 0.0398, which implies the firm had a 0.0398% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Rakuten Inc ADR, which you can use to evaluate the volatility of the company. Please check Rakuten's Coefficient Of Variation of 2511.28, risk adjusted performance of 0.0327, and Semi Deviation of 2.31 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. Rakuten has a performance score of 3 on a scale of 0 to 100. The company holds a Beta of 1.14, which implies a somewhat significant risk relative to the market. Rakuten returns are very sensitive to returns on the market. As the market goes up or down, Rakuten is expected to follow. Rakuten Inc ADR right now holds a risk of 2.97%. Please check Rakuten Inc ADR maximum drawdown, as well as the relationship between the skewness and day typical price , to decide if Rakuten Inc ADR will be following its historical price patterns.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Rakuten Inc ADR has insignificant reverse predictability. Overlapping area represents the amount of predictability between Rakuten time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 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 Rakuten Inc ADR price movement. The serial correlation of -0.2 indicates that over 20.0% of current Rakuten price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Rakuten Inc ADR lagged returns against current returns
Autocorrelation, which is Rakuten 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 Rakuten's pink sheet expected returns. We can calculate the autocorrelation of Rakuten returns to help us make a trade decision. For example, suppose you find that Rakuten 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 |
Rakuten 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 Rakuten pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rakuten pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rakuten pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Rakuten Lagged Returns
When evaluating Rakuten's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rakuten pink sheet have on its future price. Rakuten 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, Rakuten autocorrelation shows the relationship between Rakuten pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Rakuten Inc ADR.
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 Rakuten 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, Rakuten's short interest history, or implied volatility extrapolated from Rakuten options trading.
Currently Active Assets on Macroaxis
Check out Rakuten Correlation, Rakuten Volatility and Rakuten Alpha and Beta module to complement your research on Rakuten. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Complementary Tools for Rakuten Pink Sheet analysis
When running Rakuten's price analysis, check to measure Rakuten'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 Rakuten is operating at the current time. Most of Rakuten's value examination focuses on studying past and present price action to predict the probability of Rakuten's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Rakuten's price. Additionally, you may evaluate how the addition of Rakuten to your portfolios can decrease your overall portfolio volatility.
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Rakuten 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.