1st Summit Bancorp Stock Market Value
| FSMK Stock | USD 75.00 0.00 0.00% |
| Symbol | 1ST |
1ST SUMMIT '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 1ST SUMMIT'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 1ST SUMMIT.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in 1ST SUMMIT on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding 1ST SUMMIT BANCORP or generate 0.0% return on investment in 1ST SUMMIT over 30 days. 1ST SUMMIT is related to or competes with Lloyds Banking, Western Alliance, and JAPAN POST. 1ST SUMMIT BANCORP of Johnstown, Inc. operates as the bank holding company for 1ST SUMMIT BANK that provides various ban... More
1ST SUMMIT 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 1ST SUMMIT'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 1ST SUMMIT BANCORP upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (1.11) | |||
| Maximum Drawdown | 0.5766 |
1ST SUMMIT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 1ST SUMMIT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 1ST SUMMIT's standard deviation. In reality, there are many statistical measures that can use 1ST SUMMIT historical prices to predict the future 1ST SUMMIT's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | (0.08) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 1ST SUMMIT'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.
1ST SUMMIT BANCORP Backtested Returns
We consider 1ST SUMMIT very steady. 1ST SUMMIT BANCORP secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13% return per unit of risk over the last 3 months. We have found seventeen technical indicators for 1ST SUMMIT BANCORP, which you can use to evaluate the volatility of the firm. Please confirm 1ST SUMMIT's Mean Deviation of 0.0172, standard deviation of 0.071, and Risk Adjusted Performance of (0) to double-check if the risk estimate we provide is consistent with the expected return of 0.0093%. 1ST SUMMIT has a performance score of 9 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.015, which signifies not very significant fluctuations relative to the market. As returns on the market increase, 1ST SUMMIT's returns are expected to increase less than the market. However, during the bear market, the loss of holding 1ST SUMMIT is expected to be smaller as well. 1ST SUMMIT BANCORP now shows a risk of 0.0732%. Please confirm 1ST SUMMIT BANCORP jensen alpha and day median price , to decide if 1ST SUMMIT BANCORP will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
1ST SUMMIT BANCORP has no correlation between past and present. Overlapping area represents the amount of predictability between 1ST SUMMIT 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 1ST SUMMIT BANCORP price movement. The serial correlation of 0.0 indicates that just 0.0% of current 1ST SUMMIT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
1ST SUMMIT BANCORP lagged returns against current returns
Autocorrelation, which is 1ST SUMMIT 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 1ST SUMMIT's pink sheet expected returns. We can calculate the autocorrelation of 1ST SUMMIT returns to help us make a trade decision. For example, suppose you find that 1ST SUMMIT 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 |
1ST SUMMIT 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 1ST SUMMIT pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 1ST SUMMIT pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 1ST SUMMIT pink sheet over time.
Current vs Lagged Prices |
| Timeline |
1ST SUMMIT Lagged Returns
When evaluating 1ST SUMMIT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 1ST SUMMIT pink sheet have on its future price. 1ST SUMMIT 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, 1ST SUMMIT autocorrelation shows the relationship between 1ST SUMMIT pink sheet current value and its past values and can show if there is a momentum factor associated with investing in 1ST SUMMIT BANCORP.
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 1ST SUMMIT 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, 1ST SUMMIT's short interest history, or implied volatility extrapolated from 1ST SUMMIT options trading.
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Try AI Portfolio ArchitectCheck out 1ST SUMMIT Correlation, 1ST SUMMIT Volatility and 1ST SUMMIT Alpha and Beta module to complement your research on 1ST SUMMIT. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Complementary Tools for 1ST Pink Sheet analysis
When running 1ST SUMMIT's price analysis, check to measure 1ST SUMMIT'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 1ST SUMMIT is operating at the current time. Most of 1ST SUMMIT's value examination focuses on studying past and present price action to predict the probability of 1ST SUMMIT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 1ST SUMMIT's price. Additionally, you may evaluate how the addition of 1ST SUMMIT to your portfolios can decrease your overall portfolio volatility.
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1ST SUMMIT 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.