Research Solutions Stock Market Value
| RSSS Stock | USD 2.55 0.03 1.19% |
| Symbol | Research |
Research Solutions Price To Book Ratio
Is IT Consulting & Other Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Research Solutions. If investors know Research will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Research Solutions listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.74) | Earnings Share (0.02) | Revenue Per Share 1.515 | Quarterly Revenue Growth 0.171 | Return On Assets (0.02) |
The market value of Research Solutions is measured differently than its book value, which is the value of Research that is recorded on the company's balance sheet. Investors also form their own opinion of Research Solutions' value that differs from its market value or its book value, called intrinsic value, which is Research Solutions' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Research Solutions' market value can be influenced by many factors that don't directly affect Research Solutions' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Research Solutions' value and its price as these two are different measures arrived at by different means. Investors typically determine if Research Solutions is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Research Solutions' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Research Solutions '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 Research Solutions' 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 Research Solutions.
| 06/19/2022 |
| 06/08/2024 |
If you would invest 0.00 in Research Solutions on June 19, 2022 and sell it all today you would earn a total of 0.00 from holding Research Solutions or generate 0.0% return on investment in Research Solutions over 720 days. Research Solutions is related to or competes with Shotspotter, Model N, Issuer Direct, EGain, Red Violet, Meridianlink, and PDF Solutions. Research Solutions, Inc., through its subsidiaries, provides cloud-based software-as-a-service research platform More
Research Solutions 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 Research Solutions' 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 Research Solutions upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 19.11 | |||
| Value At Risk | (4.02) | |||
| Potential Upside | 4.23 |
Research Solutions Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Research Solutions' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Research Solutions' standard deviation. In reality, there are many statistical measures that can use Research Solutions historical prices to predict the future Research Solutions' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | 0.9555 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Research Solutions' 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.
Research Solutions Backtested Returns
Research Solutions maintains Sharpe Ratio (i.e., Efficiency) of -0.0967, which implies the firm had a -0.0967% return per unit of risk over the last 3 months. Research Solutions exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Research Solutions' Risk Adjusted Performance of (0.07), variance of 9.05, and Coefficient Of Variation of (767.51) to confirm the risk estimate we provide. The company holds a Beta of -0.42, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Research Solutions are expected to decrease at a much lower rate. During the bear market, Research Solutions is likely to outperform the market. At this point, Research Solutions has a negative expected return of -0.29%. Please make sure to check Research Solutions' treynor ratio and daily balance of power , to decide if Research Solutions performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.67 |
Good predictability
Research Solutions has good predictability. Overlapping area represents the amount of predictability between Research Solutions time series from 19th of June 2022 to 14th of June 2023 and 14th of June 2023 to 8th of June 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 Research Solutions price movement. The serial correlation of 0.67 indicates that around 67.0% of current Research Solutions price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Research Solutions lagged returns against current returns
Autocorrelation, which is Research Solutions 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 Research Solutions' stock expected returns. We can calculate the autocorrelation of Research Solutions returns to help us make a trade decision. For example, suppose you find that Research Solutions has exhibited high autocorrelation historically, and you observe that the 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 |
Research Solutions 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 Research Solutions stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Research Solutions stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Research Solutions stock over time.
Current vs Lagged Prices |
| Timeline |
Research Solutions Lagged Returns
When evaluating Research Solutions' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Research Solutions stock have on its future price. Research Solutions 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, Research Solutions autocorrelation shows the relationship between Research Solutions stock current value and its past values and can show if there is a momentum factor associated with investing in Research Solutions.
Regressed Prices |
| Timeline |
Pair Trading with Research Solutions
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Research Solutions position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Research Solutions will appreciate offsetting losses from the drop in the long position's value.Moving together with Research Stock
Moving against Research Stock
| 0.63 | DPSI | DecisionPoint Systems | PairCorr |
| 0.57 | ML | MoneyLion | PairCorr |
| 0.51 | DTRK | DATATRAK International | PairCorr |
| 0.5 | DSGX | Descartes Systems | PairCorr |
| 0.47 | VERX | Vertex Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Research Solutions could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Research Solutions when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Research Solutions - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Research Solutions to buy it.
The correlation of Research Solutions is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Research Solutions moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Research Solutions moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Research Solutions can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Research Stock Analysis
When running Research Solutions' price analysis, check to measure Research Solutions' 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 Research Solutions is operating at the current time. Most of Research Solutions' value examination focuses on studying past and present price action to predict the probability of Research Solutions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Research Solutions' price. Additionally, you may evaluate how the addition of Research Solutions to your portfolios can decrease your overall portfolio volatility.