SUMITOMO MITSUI FINANCIAL Odds of Future Bond Price Finishing Over 76.32
| 86562MCB4 | 87.27 0.14 0.16% |
SUMITOMO |
SUMITOMO Target Price Odds to finish over 76.32
The tendency of SUMITOMO Bond price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above 76.32 in 90 days |
| 87.27 | 90 days | 76.32 | close to 99 |
Based on a normal probability distribution, the odds of SUMITOMO to stay above 76.32 in 90 days from now is close to 99 (This SUMITOMO MITSUI FINANCIAL probability density function shows the probability of SUMITOMO Bond to fall within a particular range of prices over 90 days) . Probability of SUMITOMO MITSUI FINANCIAL price to stay between 76.32 and its current price of 87.27 at the end of the 90-day period is about 81.35 .
Assuming the 90 days trading horizon SUMITOMO has a beta of 0.0937. This usually implies as returns on the market go up, SUMITOMO average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SUMITOMO MITSUI FINANCIAL will be expected to be much smaller as well. Additionally SUMITOMO MITSUI FINANCIAL has an alpha of 0.0268, implying that it can generate a 0.0268 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SUMITOMO Price Density |
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Predictive Modules for SUMITOMO
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SUMITOMO MITSUI FINANCIAL. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.SUMITOMO Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SUMITOMO is not an exception. The market had few large corrections towards the SUMITOMO's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold SUMITOMO MITSUI FINANCIAL, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SUMITOMO within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | 0.09 | |
σ | Overall volatility | 1.57 | |
Ir | Information ratio | 0.06 |
SUMITOMO Technical Analysis
SUMITOMO's future price can be derived by breaking down and analyzing its technical indicators over time. SUMITOMO Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SUMITOMO MITSUI FINANCIAL. In general, you should focus on analyzing SUMITOMO Bond price patterns and their correlations with different microeconomic environments and drivers.
SUMITOMO Predictive Forecast Models
SUMITOMO's time-series forecasting models is one of many SUMITOMO's bond analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary SUMITOMO's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the bond market movement and maximize returns from investment trading.
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 SUMITOMO 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, SUMITOMO's short interest history, or implied volatility extrapolated from SUMITOMO options trading.
Other Information on Investing in SUMITOMO Bond
SUMITOMO financial ratios help investors to determine whether SUMITOMO Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SUMITOMO with respect to the benefits of owning SUMITOMO security.