Oxford Lane Preferred Stock Forecast - Naive Prediction

OXLCMDelisted Preferred Stock  USD 24.98  0.00  0.00%   
The Naive Prediction forecasted value of Oxford Lane Capital on the next trading day is expected to be 24.97 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.71. Oxford Preferred Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Oxford Lane is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Oxford Lane Capital value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Oxford Lane Naive Prediction Price Forecast For the 25th of December

Given 90 days horizon, the Naive Prediction forecasted value of Oxford Lane Capital on the next trading day is expected to be 24.97 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.71.
Please note that although there have been many attempts to predict Oxford Preferred 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 Lane's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oxford Lane Preferred Stock Forecast Pattern

Backtest Oxford LaneOxford Lane Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Oxford Lane preferred stock data series using in forecasting. Note that when a statistical model is used to represent Oxford Lane preferred 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 Criteria109.6497
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0116
MAPEMean absolute percentage error5.0E-4
SAESum of the absolute errors0.7061
This model is not at all useful as a medium-long range forecasting tool of Oxford Lane Capital. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Oxford Lane. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Oxford Lane

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 Lane Capital. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oxford Lane'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.
Hype
Prediction
LowEstimatedHigh
24.9824.9824.98
Details
Intrinsic
Valuation
LowRealHigh
21.1621.1627.48
Details

Oxford Lane 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 Lane preferred stock to make a market-neutral strategy. Peer analysis of Oxford Lane could also be used in its relative valuation, which is a method of valuing Oxford Lane by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Oxford Lane Market Strength Events

Market strength indicators help investors to evaluate how Oxford Lane preferred 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 Lane shares will generate the highest return on investment. By undertsting and applying Oxford Lane preferred stock market strength indicators, traders can identify Oxford Lane Capital entry and exit signals to maximize returns.

Oxford Lane Risk Indicators

The analysis of Oxford Lane'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 Lane's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oxford preferred 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.
You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

Other Consideration for investing in Oxford Preferred Stock

If you are still planning to invest in Oxford Lane Capital check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Oxford Lane's history and understand the potential risks before investing.
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Money Managers
Screen money managers from public funds and ETFs managed around the world
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm