Main Street Financial Stock Market Value
| MSWV Stock | USD 14.40 0.09 0.63% |
| Symbol | Main |
Main Street '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 Main Street's otc stock 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 Main Street.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Main Street on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Main Street Financial or generate 0.0% return on investment in Main Street over 90 days. Main Street is related to or competes with CCFNB Bancorp, Burke Herbert, First IC, Enterprise Financial, Susquehanna Community, First Keystone, and LCNB. Main Street Financial Services Corp. operates as the financial services holding company for Main Street Bank Corp More
Main Street 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 Main Street's otc stock 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 Main Street Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.1 | |||
| Information Ratio | 0.0046 | |||
| Maximum Drawdown | 10.25 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 2.38 |
Main Street Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Main Street's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Main Street's standard deviation. In reality, there are many statistical measures that can use Main Street historical prices to predict the future Main Street's volatility.| Risk Adjusted Performance | 0.0886 | |||
| Jensen Alpha | 0.0598 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0029 | |||
| Treynor Ratio | 0.231 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Main Street'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.
Main Street Financial Backtested Returns
At this stage we consider Main OTC Stock to be very steady. Main Street Financial has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Main Street, which you can use to evaluate the volatility of the firm. Please verify Main Street's Downside Deviation of 2.1, risk adjusted performance of 0.0886, and Mean Deviation of 0.6522 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. Main Street has a performance score of 8 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.58, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Main Street's returns are expected to increase less than the market. However, during the bear market, the loss of holding Main Street is expected to be smaller as well. Main Street Financial right now secures a risk of 1.32%. Please verify Main Street Financial treynor ratio, as well as the relationship between the expected short fall and day typical price , to decide if Main Street Financial will be following its current price movements.
Auto-correlation | 0.26 |
Poor predictability
Main Street Financial has poor predictability. Overlapping area represents the amount of predictability between Main Street time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd of December 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 Main Street Financial price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current Main Street price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Main Street Financial lagged returns against current returns
Autocorrelation, which is Main Street otc stock'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 Main Street's otc stock expected returns. We can calculate the autocorrelation of Main Street returns to help us make a trade decision. For example, suppose you find that Main Street has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
Main Street 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 Main Street otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Main Street otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Main Street otc stock over time.
Current vs Lagged Prices |
| Timeline |
Main Street Lagged Returns
When evaluating Main Street's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Main Street otc stock have on its future price. Main Street 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, Main Street autocorrelation shows the relationship between Main Street otc stock current value and its past values and can show if there is a momentum factor associated with investing in Main Street Financial.
Regressed Prices |
| Timeline |
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Additional Tools for Main OTC Stock Analysis
When running Main Street's price analysis, check to measure Main Street'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 Main Street is operating at the current time. Most of Main Street's value examination focuses on studying past and present price action to predict the probability of Main Street's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Main Street's price. Additionally, you may evaluate how the addition of Main Street to your portfolios can decrease your overall portfolio volatility.