Oxford Competitors
OXSQ Stock | USD 2.62 0.02 0.76% |
You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of Oxford Square competition on your existing holdings.
Oxford |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oxford Square'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.
Oxford Square Competition Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Oxford Square and its competitors represents the degree of relationship between the price movements of corresponding stocks. A correlation of about +1.0 implies that the price of Oxford and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of Oxford Square Capital does not affect the price movement of the other competitor.
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High positive correlations
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Risk-Adjusted Indicators
There is a big difference between Oxford Stock performing well and Oxford Square Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Oxford Square's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
---|---|---|---|---|---|---|---|---|---|---|
ECC | 0.49 | (0.10) | 0.00 | (0.52) | 0.00 | 1.16 | 3.16 | |||
CRF | 0.62 | 0.22 | 0.22 | 0.53 | 0.06 | 1.81 | 3.89 | |||
CLM | 0.58 | 0.23 | 0.28 | 0.52 | 0.00 | 1.75 | 2.82 | |||
GOF | 0.39 | 0.07 | (0.06) | 0.62 | 0.40 | 0.98 | 1.94 | |||
HRZN | 0.75 | (0.25) | 0.00 | (1.08) | 0.00 | 0.88 | 5.65 | |||
WHF | 0.83 | (0.09) | 0.00 | (1.32) | 0.00 | 1.44 | 7.36 | |||
GLAD | 0.68 | 0.22 | 0.20 | 0.60 | 0.31 | 1.64 | 4.12 | |||
PFLT | 0.61 | 0.00 | (0.10) | 0.13 | 0.99 | 1.09 | 5.12 | |||
FDUS | 0.54 | 0.07 | (0.01) | 0.33 | 0.45 | 1.20 | 3.15 | |||
MAIN | 0.55 | 0.10 | 0.05 | 0.34 | 0.44 | 1.49 | 3.02 |
Cross Equities Net Income Analysis
Compare Oxford Square Capital and related stocks such as Eagle Point Credit, Cornerstone Strategic, and Cornerstone Strategic Net Income Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ECC | 8.3 M | 8.3 M | 8.3 M | 8.3 M | 8.3 M | (41 M) | 90.6 M | 31.1 M | (54.8 M) | (8.7 M) | 60.9 M | 131.9 M | (101.8 M) | 116.9 M | 122.7 M |
HRZN | 9.3 M | 11 M | 4 M | 3.5 M | 15.4 M | 11.9 M | (4.9 M) | 9.6 M | 13 M | 19.5 M | 6.4 M | 27.8 M | 21.2 M | (17.2 M) | (16.3 M) |
WHF | 39.6 M | 39.6 M | 39.6 M | 19 M | 19.5 M | (2.8 M) | 31.3 M | 34.4 M | 57.3 M | 30.8 M | 31.7 M | 30.1 M | 15.7 M | 20.4 M | 30 M |
GLAD | (92.6 K) | (8 M) | 32.2 M | 11.2 M | 8.5 M | 11.4 M | 17.2 M | 18.6 M | 19.9 M | (1.9 M) | 84.3 M | 19.9 M | 42.7 M | 94.7 M | 99.5 M |
PFLT | 12 M | 12 M | 12 M | 20.5 M | 12.5 M | 33.5 M | 36.3 M | 33.5 M | (11.1 M) | 18.4 M | 56.5 M | 3.5 M | 39.3 M | 45.2 M | 24.5 M |
FDUS | (1.6 M) | 15.4 M | 19.4 M | 27.2 M | 19.5 M | 26 M | 41.6 M | 44 M | 49.5 M | 48.5 M | 31.2 M | 116.1 M | 35.8 M | 77.1 M | 40.7 M |
MAIN | 7.9 M | 63 M | 104.4 M | 96.9 M | 100.7 M | 104.4 M | 138.9 M | 170.6 M | 168.2 M | 129.6 M | 29.4 M | 330.8 M | 241.6 M | 428.4 M | 449.9 M |
GAIN | 6.1 M | 22 M | 17.3 M | (1.3 M) | 50.2 M | 24.9 M | 44.8 M | 60.7 M | 81.6 M | (17.5 M) | 44.8 M | 105.5 M | 35.5 M | 85.3 M | 89.6 M |
SCM | 2.2 M | 2.2 M | 2.2 M | 17.5 M | 10.2 M | 7.7 M | 23.2 M | 22.6 M | 26.2 M | 26.4 M | 20.2 M | 33.6 M | 14.5 M | 17.5 M | 20.3 M |
PSEC | 8.8 M | 190.9 M | 220.9 M | 319 M | 346.3 M | 103.4 M | 252.9 M | 299.9 M | 144.5 M | (16.2 M) | 963.8 M | 1.3 B | (101.6 M) | 262.8 M | 250.1 M |
Oxford Square Capital and related stocks such as Eagle Point Credit, Cornerstone Strategic, and Cornerstone Strategic Net Income description
Net income is one of the most important fundamental items in finance. It plays a large role in Oxford Square Capital financial statement analysis. It represents the amount of money remaining after all of Oxford Square Capital operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Oxford Square Competitive Analysis
The better you understand Oxford Square competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Oxford Square's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Oxford Square's competition over several years is one of the best ways to analyze its investment potential.Better Than Average | Worse Than Peers | View Performance Chart |
Oxford Square Competition Performance Charts
Five steps to successful analysis of Oxford Square Competition
Oxford Square's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Oxford Square Capital in relation to its competition. Oxford Square's competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors of Oxford Square in the market, both direct and indirect, as well as new entrants and disruptive technologies.
- Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
- Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact Oxford Square's competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Oxford Square Capital, and developing a strategy to address them.
- Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
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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.