MSAD Insurance Pink Sheet Forecast - Naive Prediction
| MSADY Stock | USD 17.15 0.35 2.08% |
The Naive Prediction forecasted value of MSAD Insurance Group on the next trading day is expected to be 16.67 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.11. MSAD Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast MSAD Insurance stock prices and determine the direction of MSAD Insurance Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of MSAD Insurance's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of MSAD Insurance to cross-verify your projections. MSAD |
Most investors in MSAD Insurance cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the MSAD Insurance's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets MSAD Insurance's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for MSAD Insurance is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of MSAD Insurance Group 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. MSAD Insurance Naive Prediction Price Forecast For the 19th of April
Given 90 days horizon, the Naive Prediction forecasted value of MSAD Insurance Group on the next trading day is expected to be 16.67 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.22, and the sum of the absolute errors of 20.11.Please note that although there have been many attempts to predict MSAD Pink Sheet 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 MSAD Insurance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
MSAD Insurance Pink Sheet Forecast Pattern
| Backtest MSAD Insurance | MSAD Insurance Price Prediction | Buy or Sell Advice |
MSAD Insurance Forecasted Value
In the context of forecasting MSAD Insurance's Pink Sheet 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. MSAD Insurance's downside and upside margins for the forecasting period are 13.95 and 19.39, respectively. We have considered MSAD Insurance'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.
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 MSAD Insurance pink sheet data series using in forecasting. Note that when a statistical model is used to represent MSAD Insurance pink sheet, 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.| AIC | Akaike Information Criteria | 116.5757 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3297 |
| MAPE | Mean absolute percentage error | 0.0211 |
| SAE | Sum of the absolute errors | 20.113 |
Predictive Modules for MSAD Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MSAD Insurance Group. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 MSAD Insurance'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.
Other Forecasting Options for MSAD Insurance
For every potential investor in MSAD, whether a beginner or expert, MSAD Insurance's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MSAD Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MSAD. Basic forecasting techniques help filter out the noise by identifying MSAD Insurance's price trends.MSAD Insurance 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 MSAD Insurance pink sheet to make a market-neutral strategy. Peer analysis of MSAD Insurance could also be used in its relative valuation, which is a method of valuing MSAD Insurance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
MSAD Insurance Group Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of MSAD Insurance'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 MSAD Insurance's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
MSAD Insurance Market Strength Events
Market strength indicators help investors to evaluate how MSAD Insurance pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MSAD Insurance shares will generate the highest return on investment. By undertsting and applying MSAD Insurance pink sheet market strength indicators, traders can identify MSAD Insurance Group entry and exit signals to maximize returns.
MSAD Insurance Risk Indicators
The analysis of MSAD Insurance'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 MSAD Insurance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting msad pink sheet 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.
| Mean Deviation | 1.67 | |||
| Semi Deviation | 1.28 | |||
| Standard Deviation | 2.66 | |||
| Variance | 7.1 | |||
| Downside Variance | 2.55 | |||
| Semi Variance | 1.64 | |||
| Expected Short fall | (2.10) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards MSAD Insurance in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, MSAD Insurance's short interest history, or implied volatility extrapolated from MSAD Insurance options trading.
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 ArchitectCheck out Historical Fundamental Analysis of MSAD Insurance to cross-verify your projections. Note that the MSAD Insurance Group information on this page should be used as a complementary analysis to other MSAD Insurance's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for MSAD Pink Sheet analysis
When running MSAD Insurance's price analysis, check to measure MSAD Insurance'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 MSAD Insurance is operating at the current time. Most of MSAD Insurance's value examination focuses on studying past and present price action to predict the probability of MSAD Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MSAD Insurance's price. Additionally, you may evaluate how the addition of MSAD Insurance to your portfolios can decrease your overall portfolio volatility.
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |