Oxford Square Capital Stock Market Value
| OXSQ Stock | USD 2.62 0.02 0.76% |
| Symbol | Oxford |
Oxford Square Capital Price To Book Ratio
Is Asset Management & Custody Banks 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 Oxford Square. If investors know Oxford 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 Oxford Square 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 (0.62) | Dividend Share 0.42 | Earnings Share (0.11) | Revenue Per Share 0.736 | Quarterly Revenue Growth (0.21) |
The market value of Oxford Square Capital is measured differently than its book value, which is the value of Oxford that is recorded on the company's balance sheet. Investors also form their own opinion of Oxford Square's value that differs from its market value or its book value, called intrinsic value, which is Oxford Square's 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 Oxford Square's market value can be influenced by many factors that don't directly affect Oxford Square's 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 Oxford Square's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oxford Square is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oxford Square's 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.
Oxford Square '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 Oxford Square's 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 Oxford Square.
| 09/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Oxford Square on September 24, 2024 and sell it all today you would earn a total of 0.00 from holding Oxford Square Capital or generate 0.0% return on investment in Oxford Square over 60 days. Oxford Square is related to or competes with Eagle Point, Cornerstone Strategic, Cornerstone Strategic, Guggenheim Strategic, Horizon Technology, WhiteHorse Finance, and Gladstone Capital. Oxford Square Capital Corp. is a business development company, operates as a closed-end, non-diversified management inve... More
Oxford Square 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 Oxford Square's 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 Oxford Square Capital upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.30) | |||
| Maximum Drawdown | 4.39 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 1.1 |
Oxford Square Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oxford Square's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oxford Square's standard deviation. In reality, there are many statistical measures that can use Oxford Square historical prices to predict the future Oxford Square's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (1.37) |
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 Capital Backtested Returns
Oxford Square Capital maintains Sharpe Ratio (i.e., Efficiency) of -0.14, which implies the firm had a -0.14% return per unit of risk over the last 3 months. Oxford Square Capital exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oxford Square's Risk Adjusted Performance of (0.11), coefficient of variation of (695.02), and Variance of 0.7398 to confirm the risk estimate we provide. The company holds a Beta of 0.0979, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oxford Square's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oxford Square is expected to be smaller as well. At this point, Oxford Square Capital has a negative expected return of -0.12%. Please make sure to check Oxford Square's value at risk, as well as the relationship between the rate of daily change and relative strength index , to decide if Oxford Square Capital performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.66 |
Very good reverse predictability
Oxford Square Capital has very good reverse predictability. Overlapping area represents the amount of predictability between Oxford Square time series from 24th of September 2024 to 24th of October 2024 and 24th of October 2024 to 23rd of November 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 Oxford Square Capital price movement. The serial correlation of -0.66 indicates that around 66.0% of current Oxford Square price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Oxford Square Capital lagged returns against current returns
Autocorrelation, which is Oxford Square 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 Oxford Square's stock expected returns. We can calculate the autocorrelation of Oxford Square returns to help us make a trade decision. For example, suppose you find that Oxford Square 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 |
Oxford Square 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 Oxford Square stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oxford Square stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oxford Square stock over time.
Current vs Lagged Prices |
| Timeline |
Oxford Square Lagged Returns
When evaluating Oxford Square's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oxford Square stock have on its future price. Oxford Square 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, Oxford Square autocorrelation shows the relationship between Oxford Square stock current value and its past values and can show if there is a momentum factor associated with investing in Oxford Square Capital.
Regressed Prices |
| Timeline |
Pair Trading with Oxford Square
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 Oxford Square 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 Oxford Square will appreciate offsetting losses from the drop in the long position's value.Moving against Oxford Stock
| 0.48 | DHIL | Diamond Hill Investment | PairCorr |
| 0.42 | PX | P10 Inc | PairCorr |
| 0.33 | DIST | Distoken Acquisition | PairCorr |
The ability to find closely correlated positions to Oxford Square could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Oxford Square 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 Oxford Square - 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 Oxford Square Capital to buy it.
The correlation of Oxford Square 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 Oxford Square moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oxford Square Capital 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 Oxford Square 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 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.