Suzuki Pink Sheet Forecast - Naive Prediction
| SZKMF Stock | USD 11.72 0.49 4.36% |
The Naive Prediction forecasted value of Suzuki Motor on the next trading day is expected to be 8.88 with a mean absolute deviation of 6.33 and the sum of the absolute errors of 386.09. Suzuki Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Suzuki stock prices and determine the direction of Suzuki Motor's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Suzuki's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Suzuki to cross-verify your projections. Suzuki |
Most investors in Suzuki 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 Suzuki's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Suzuki's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Suzuki is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Suzuki Motor 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. Suzuki Naive Prediction Price Forecast For the 2nd of May
Given 90 days horizon, the Naive Prediction forecasted value of Suzuki Motor on the next trading day is expected to be 8.88 with a mean absolute deviation of 6.33, mean absolute percentage error of 96.79, and the sum of the absolute errors of 386.09.Please note that although there have been many attempts to predict Suzuki 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 Suzuki's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Suzuki Pink Sheet Forecast Pattern
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Suzuki Forecasted Value
In the context of forecasting Suzuki'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. Suzuki's downside and upside margins for the forecasting period are 0.12 and 87.73, respectively. We have considered Suzuki'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 Suzuki pink sheet data series using in forecasting. Note that when a statistical model is used to represent Suzuki 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 | 122.6831 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 6.3293 |
| MAPE | Mean absolute percentage error | 0.374 |
| SAE | Sum of the absolute errors | 386.0858 |
Predictive Modules for Suzuki
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Suzuki Motor. 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 Suzuki'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 Suzuki
For every potential investor in Suzuki, whether a beginner or expert, Suzuki's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Suzuki Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Suzuki. Basic forecasting techniques help filter out the noise by identifying Suzuki's price trends.View Suzuki Related Equities
| Risk & Return | Correlation |
Suzuki Motor 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 Suzuki'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 Suzuki's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Suzuki Market Strength Events
Market strength indicators help investors to evaluate how Suzuki 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 Suzuki shares will generate the highest return on investment. By undertsting and applying Suzuki pink sheet market strength indicators, traders can identify Suzuki Motor entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.04 | |||
| Day Median Price | 11.72 | |||
| Day Typical Price | 11.72 | |||
| Price Action Indicator | 0.25 | |||
| Period Momentum Indicator | 0.49 | |||
| Relative Strength Index | 40.84 |
Suzuki Risk Indicators
The analysis of Suzuki'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 Suzuki's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting suzuki 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 | 35.05 | |||
| Semi Deviation | 21.38 | |||
| Standard Deviation | 76.45 | |||
| Variance | 5844.84 | |||
| Downside Variance | 3131.69 | |||
| Semi Variance | 457.18 | |||
| Expected Short fall | (175.17) |
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.
Currently Active Assets on Macroaxis
Check out Historical Fundamental Analysis of Suzuki to cross-verify your projections. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Complementary Tools for Suzuki Pink Sheet analysis
When running Suzuki's price analysis, check to measure Suzuki'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 Suzuki is operating at the current time. Most of Suzuki's value examination focuses on studying past and present price action to predict the probability of Suzuki's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Suzuki's price. Additionally, you may evaluate how the addition of Suzuki to your portfolios can decrease your overall portfolio volatility.
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