Oxford Square Capital Stock Price Prediction
| OXSQZ Stock | USD 24.75 0.05 0.20% |
Oversold Vs Overbought
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Oversold | Overbought |
Using Oxford Square hype-based prediction, you can estimate the value of Oxford Square Capital from the perspective of Oxford Square response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Oxford Square to buy its stock at a price that has no basis in reality. In that case, they are not buying Oxford because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Oxford Square after-hype prediction price | USD 24.75 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Oxford |
Oxford Square After-Hype Price Prediction Density Analysis
As far as predicting the price of Oxford Square at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Oxford Square or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Oxford Square, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Oxford Square Estimiated After-Hype Price Volatility
In the context of predicting Oxford Square's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Oxford Square's historical news coverage. Oxford Square's after-hype downside and upside margins for the prediction period are 24.46 and 25.04, respectively. We have considered Oxford Square's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Oxford Square is very steady at this time. Analysis and calculation of next after-hype price of Oxford Square Capital is based on 3 months time horizon.
Oxford Square Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Oxford Square is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Oxford Square backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Oxford Square, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.05 | 0.28 | 0.00 | 0.01 | 2 Events / Month | 1 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
24.75 | 24.75 | 0.00 |
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Oxford Square Hype Timeline
Oxford Square Capital is now traded for 24.75. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. Oxford is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is now at 0.05%. %. The volatility of related hype on Oxford Square is about 250.0%, with the expected price after the next announcement by competition of 24.74. The company last dividend was issued on the 31st of July 2024. Assuming the 90 days horizon the next projected press release will be in a few days. Check out Oxford Square Basic Forecasting Models to cross-verify your projections.Oxford Square Related Hype Analysis
Having access to credible news sources related to Oxford Square's direct competition is more important than ever and may enhance your ability to predict Oxford Square's future price movements. Getting to know how Oxford Square's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Oxford Square may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| OXSQL | Oxford Square Capital | (0.09) | 3 per month | 0.23 | (0.18) | 0.77 | (0.44) | 2.94 | |
| OXLCM | Oxford Lane Capital | 0.00 | 0 per month | 0.00 | (1.21) | 0.16 | (0.12) | 0.41 | |
| RILYO | B Riley Financial | (0.42) | 1 per month | 0.42 | (0.16) | 1.20 | (0.86) | 2.95 | |
| GECCM | Great Elm Capital | (0.01) | 3 per month | 0.42 | (0.20) | 0.60 | (0.53) | 3.56 | |
| NEWTL | Newtek Business Services | (0.04) | 6 per month | 0.00 | (1.32) | 0.16 | (0.04) | 0.45 |
Oxford Square Additional Predictive Modules
Most predictive techniques to examine Oxford price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Oxford using various technical indicators. When you analyze Oxford charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Volume Indicators |
About Oxford Square Predictive Indicators
The successful prediction of Oxford Square stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Oxford Square Capital, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Oxford Square based on analysis of Oxford Square hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Oxford Square's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Oxford Square's related companies. | 2020 | 2021 | 2022 (projected) | PTB Ratio | 0.67 | 0.83 | 1.12 | Dividend Yield | 0.2 | 0.1 | 0.13 |
Story Coverage note for Oxford Square
The number of cover stories for Oxford Square depends on current market conditions and Oxford Square's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Oxford Square is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Oxford Square's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Oxford Square Short Properties
Oxford Square's future price predictability will typically decrease when Oxford Square's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Oxford Square Capital often depends not only on the future outlook of the potential Oxford Square's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Oxford Square's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 53.9 M | |
| Dividends Paid | 28.6 M | |
| Cash And Short Term Investments | 5.7 T |
Additional Tools for Oxford Stock Analysis
When running Oxford Square's price analysis, check to measure Oxford Square'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 Oxford Square is operating at the current time. Most of Oxford Square's value examination focuses on studying past and present price action to predict the probability of Oxford Square's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxford Square's price. Additionally, you may evaluate how the addition of Oxford Square to your portfolios can decrease your overall portfolio volatility.