Oxford Square Stock Forecast - Simple Moving Average

OXSQZ Stock  USD 24.67  0.07  0.28%   
The Simple Moving Average forecasted value of Oxford Square Capital on the next trading day is expected to be 24.67 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.40. Oxford Stock Forecast is based on your current time horizon.
  
At this time, Oxford Square's Inventory Turnover is fairly stable compared to the past year. Receivables Turnover is likely to rise to 9.26 in 2024, whereas Payables Turnover is likely to drop 6.76 in 2024. . Common Stock Shares Outstanding is likely to drop to about 43.9 M in 2024. Net Loss is likely to rise to about (28 M) in 2024.
A two period moving average forecast for Oxford Square is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Oxford Square Simple Moving Average Price Forecast For the 15th of December 2024

Given 90 days horizon, the Simple Moving Average forecasted value of Oxford Square Capital on the next trading day is expected to be 24.67 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.40.
Please note that although there have been many attempts to predict Oxford Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Oxford Square's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oxford Square Stock Forecast Pattern

JavaScript chart by amCharts 3.21.15Sep 27Oct 7Oct 15Oct 23Oct 31Nov 8Nov 18Nov 26Dec 5Dec 1324.324.424.524.624.7
JavaScript chart by amCharts 3.21.15Oxford Square Capital Oxford Square Capital forecast
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Oxford Square Forecasted Value

In the context of forecasting Oxford Square's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Oxford Square's downside and upside margins for the forecasting period are 24.36 and 24.98, respectively. We have considered Oxford Square's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
24.67
24.67
Expected Value
24.98
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Oxford Square stock data series using in forecasting. Note that when a statistical model is used to represent Oxford Square stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria111.1417
BiasArithmetic mean of the errors -0.0086
MADMean absolute deviation0.0566
MAPEMean absolute percentage error0.0023
SAESum of the absolute errors3.395
The simple moving average model is conceptually a linear regression of the current value of Oxford Square Capital price series against current and previous (unobserved) value of Oxford Square. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Oxford Square

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oxford Square Capital. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
24.3624.6724.98
Details
Intrinsic
Valuation
LowRealHigh
22.3222.6327.14
Details
Bollinger
Band Projection (param)
LowMiddleHigh
24.4524.6324.82
Details

Other Forecasting Options for Oxford Square

For every potential investor in Oxford, whether a beginner or expert, Oxford Square's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Oxford Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Oxford. Basic forecasting techniques help filter out the noise by identifying Oxford Square's price trends.

Oxford Square Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Oxford Square stock to make a market-neutral strategy. Peer analysis of Oxford Square could also be used in its relative valuation, which is a method of valuing Oxford Square by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Oxford Square Capital Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Oxford Square's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Oxford Square's current price.

Oxford Square Market Strength Events

Market strength indicators help investors to evaluate how Oxford Square stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Oxford Square shares will generate the highest return on investment. By undertsting and applying Oxford Square stock market strength indicators, traders can identify Oxford Square Capital entry and exit signals to maximize returns.

Oxford Square Risk Indicators

The analysis of Oxford Square's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Oxford Square's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oxford stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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.
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