Sumitomo Mitsui Financial Stock Market Value
| SMFNF Stock | USD 56.09 1.26 2.20% |
| Symbol | Sumitomo |
Sumitomo Mitsui '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 Sumitomo Mitsui'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 Sumitomo Mitsui.
| 01/02/2024 |
| 05/01/2024 |
If you would invest 0.00 in Sumitomo Mitsui on January 2, 2024 and sell it all today you would earn a total of 0.00 from holding Sumitomo Mitsui Financial or generate 0.0% return on investment in Sumitomo Mitsui over 120 days. Sumitomo Mitsui is related to or competes with Bank of America, Mitsubishi UFJ, and Natwest Group. Sumitomo Mitsui Financial Group, Inc., together with its subsidiaries, provides commercial banking, leasing, securities,... More
Sumitomo Mitsui 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 Sumitomo Mitsui'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 Sumitomo Mitsui Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.15 | |||
| Information Ratio | 0.0647 | |||
| Maximum Drawdown | 15.98 | |||
| Value At Risk | (5.25) | |||
| Potential Upside | 5.67 |
Sumitomo Mitsui Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sumitomo Mitsui's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sumitomo Mitsui's standard deviation. In reality, there are many statistical measures that can use Sumitomo Mitsui historical prices to predict the future Sumitomo Mitsui's volatility.| Risk Adjusted Performance | 0.0613 | |||
| Jensen Alpha | 0.1993 | |||
| Total Risk Alpha | 0.0095 | |||
| Sortino Ratio | 0.0659 | |||
| Treynor Ratio | 0.22 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sumitomo Mitsui'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.
Sumitomo Mitsui Financial Backtested Returns
Sumitomo Mitsui appears to be very steady, given 3 months investment horizon. Sumitomo Mitsui Financial owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0677, which indicates the firm had a 0.0677% return per unit of risk over the last 3 months. We have found thirty technical indicators for Sumitomo Mitsui Financial, which you can use to evaluate the volatility of the company. Please review Sumitomo Mitsui's Coefficient Of Variation of 1202.52, semi deviation of 2.96, and Risk Adjusted Performance of 0.0613 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sumitomo Mitsui holds a performance score of 5. The entity has a beta of 1.17, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Sumitomo Mitsui will likely underperform. Please check Sumitomo Mitsui's treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to make a quick decision on whether Sumitomo Mitsui's existing price patterns will revert.
Auto-correlation | -0.25 |
Weak reverse predictability
Sumitomo Mitsui Financial has weak reverse predictability. Overlapping area represents the amount of predictability between Sumitomo Mitsui time series from 2nd of January 2024 to 2nd of March 2024 and 2nd of March 2024 to 1st 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 Sumitomo Mitsui Financial price movement. The serial correlation of -0.25 indicates that over 25.0% of current Sumitomo Mitsui price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 3.19 |
Sumitomo Mitsui Financial lagged returns against current returns
Autocorrelation, which is Sumitomo Mitsui 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 Sumitomo Mitsui's pink sheet expected returns. We can calculate the autocorrelation of Sumitomo Mitsui returns to help us make a trade decision. For example, suppose you find that Sumitomo Mitsui 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 |
Sumitomo Mitsui 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 Sumitomo Mitsui pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sumitomo Mitsui pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sumitomo Mitsui pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sumitomo Mitsui Lagged Returns
When evaluating Sumitomo Mitsui's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sumitomo Mitsui pink sheet have on its future price. Sumitomo Mitsui 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, Sumitomo Mitsui autocorrelation shows the relationship between Sumitomo Mitsui pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sumitomo Mitsui Financial.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Sumitomo Mitsui Financial is a strong investment it is important to analyze Sumitomo Mitsui's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Sumitomo Mitsui's future performance. For an informed investment choice regarding Sumitomo Pink Sheet, refer to the following important reports:Check out Sumitomo Mitsui Correlation, Sumitomo Mitsui Volatility and Sumitomo Mitsui Alpha and Beta module to complement your research on Sumitomo Mitsui. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Complementary Tools for Sumitomo Pink Sheet analysis
When running Sumitomo Mitsui's price analysis, check to measure Sumitomo Mitsui'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 Sumitomo Mitsui is operating at the current time. Most of Sumitomo Mitsui's value examination focuses on studying past and present price action to predict the probability of Sumitomo Mitsui's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sumitomo Mitsui's price. Additionally, you may evaluate how the addition of Sumitomo Mitsui to your portfolios can decrease your overall portfolio volatility.
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Sumitomo Mitsui 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.