Piper Sandler Stock Forecast - Naive Prediction

PIPR Stock  USD 341.71  1.33  0.39%   
The Naive Prediction forecasted value of Piper Sandler Companies on the next trading day is expected to be 329.16 with a mean absolute deviation of 7.34 and the sum of the absolute errors of 447.80. Piper Stock Forecast is based on your current time horizon. Although Piper Sandler's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Piper Sandler's systematic risk associated with finding meaningful patterns of Piper Sandler fundamentals over time.
  
As of 11/29/2024, Inventory Turnover is likely to grow to 3.57. Also, Payables Turnover is likely to grow to 1,070. As of 11/29/2024, Net Income Applicable To Common Shares is likely to grow to about 133.6 M, while Common Stock Shares Outstanding is likely to drop slightly above 13.2 M.

Piper Sandler Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Piper Sandler's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2002-12-31
Previous Quarter
320.9 M
Current Value
350.2 M
Quarterly Volatility
148 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Piper Sandler is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Piper Sandler Companies 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.

Piper Sandler Naive Prediction Price Forecast For the 30th of November

Given 90 days horizon, the Naive Prediction forecasted value of Piper Sandler Companies on the next trading day is expected to be 329.16 with a mean absolute deviation of 7.34, mean absolute percentage error of 96.87, and the sum of the absolute errors of 447.80.
Please note that although there have been many attempts to predict Piper 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 Piper Sandler's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Piper Sandler Stock Forecast Pattern

Backtest Piper SandlerPiper Sandler Price PredictionBuy or Sell Advice 

Piper Sandler Forecasted Value

In the context of forecasting Piper Sandler'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. Piper Sandler's downside and upside margins for the forecasting period are 326.31 and 332.02, respectively. We have considered Piper Sandler'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
341.71
326.31
Downside
329.16
Expected Value
332.02
Upside

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 Piper Sandler stock data series using in forecasting. Note that when a statistical model is used to represent Piper Sandler 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 Criteria122.6838
BiasArithmetic mean of the errors None
MADMean absolute deviation7.3409
MAPEMean absolute percentage error0.0243
SAESum of the absolute errors447.7971
This model is not at all useful as a medium-long range forecasting tool of Piper Sandler Companies. 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 Piper Sandler. 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 Piper Sandler

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Piper Sandler Companies. 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
338.86341.71344.56
Details
Intrinsic
Valuation
LowRealHigh
307.54379.76382.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
274.49323.14371.79
Details
4 Analysts
Consensus
LowTargetHigh
146.06160.50178.16
Details

Other Forecasting Options for Piper Sandler

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

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

Piper Sandler Companies 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 Piper Sandler'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 Piper Sandler's current price.

Piper Sandler Market Strength Events

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

Piper Sandler Risk Indicators

The analysis of Piper Sandler'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 Piper Sandler's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting piper 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.

Pair Trading with Piper Sandler

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 Piper Sandler 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 Piper Sandler will appreciate offsetting losses from the drop in the long position's value.

Moving together with Piper Stock

  0.86V Visa Class APairCorr
  0.89DIST Distoken AcquisitionPairCorr
  0.88MA MastercardPairCorr
  0.95MC MoelisPairCorr
  0.94MS Morgan Stanley Sell-off TrendPairCorr

Moving against Piper Stock

  0.7WU Western UnionPairCorr
  0.61BRACU Broad Capital AcquisitionPairCorr
  0.56PT Pintec TechnologyPairCorr
  0.4RC Ready Capital CorpPairCorr
The ability to find closely correlated positions to Piper Sandler could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Piper Sandler 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 Piper Sandler - 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 Piper Sandler Companies to buy it.
The correlation of Piper Sandler 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 Piper Sandler moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Piper Sandler Companies 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 Piper Sandler 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.
Pair CorrelationCorrelation Matching

Additional Tools for Piper Stock Analysis

When running Piper Sandler's price analysis, check to measure Piper Sandler'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 Piper Sandler is operating at the current time. Most of Piper Sandler's value examination focuses on studying past and present price action to predict the probability of Piper Sandler's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Piper Sandler's price. Additionally, you may evaluate how the addition of Piper Sandler to your portfolios can decrease your overall portfolio volatility.