In the beginning of the 21^st century special attention is paid to prediction in economics, finance and management. At the same time, new metaphors connected with prediction appear in the narratives about the social life, e.g. “risk society” „radical uncertainty”, etc. Undoubtedly all attempts to apply new mathematical models in economics, finance, management and in a broader sense, in theories of social organization have one aim – a deeper understanding of phenomena allowing for improvement of prediction. Basically two domains of  science are useful for that purpose. The first one, a classical approach: statistics, econometrics, operations research, various types of network models, game theory, etc. The new approach can be represented by econophysics which is applied predominantly in finance and in some instances in analysis of collective social phenomena.

In all those attempts prediction, or depending on some subtle differences, forecasting, foresight, anticipation are the main purpose. However very often too much attention is given to formal clarity or sophistication and deepened reflections are missing. For instance, while in physics attempts are made to use for prediction a limited set or parameters describing collective phenomena, in econometrics multivariable models are made as to capture the dynamics of the described system.

Such issues as limits operationalization, limits of identification and measurement, representation of collective emerging phenomena, intersubjectivity of social phenomena,  limitations of applicability of physical models in prediction of social phenomena are not sufficiently analyzed.

The main hypothesis of the paper is that a deepened reflection on prediction in economics, finance and management is necessary in achieving potentially more accurate prediction with the classical methods applied in economics and with the methods applied in econophysics.

A thorough survey of methods and interpretations of prediction in physics will be presented. Due to its specificity, quantum mechanics will not be taken into account. Special attention will be given to the sense of prediction, identification of parameters and operationalization. Subsequently, the similar survey of methods and interpretations of prediction and related concepts applied in economics, finance and management will be elaborated. The ideas depicted in both parts will be used as a point of departure of critical assessment of all types of methods of prediction applied in economics (both macro and micro level), finance, especially the capital markets, and the models of organizations used in management theory and practice.

The proposed study will be used as the source of new general approaches of prediction in economics, finance and management as well as a background of presenting new methodologies of prediction.     

1. Introduction
2. Expectations towards econophysics
   1. What econophysics is about?
   2. Econophysics and economics, and finance
   3. Econophysics and studies of social systems
3. Definitions of prediction
   1. Classical definitions of prediction
   2. Prediction and related ideas
4. Prediction in physics
   1. Time as a variable in physical models
   2. Epistemological foundations of prediction in physics
   3. Prediction and collective phenomena in physics
5. Prediction in social sciences
   1. Epistemological foundations of prediction in social sciences
   2. Prediction in economics and in finance
   3. Prediction of collective social phenomena
6. Comparison of prediction in physics and in economics, finance and management
   1. Areas of prediction
   2. Methods of prediction
   3. What one side can learn from the other?
   4. Can physics truly help economics, finance and management in prediction?
7. Conclusions  

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1. Metaphysics of Econophysics 
2. Equilibrium, stability and turbulence: How physics has shaped and limited economic thinking.
3. Can physics help in improving prediction of social phenomena?  
4. Interpretations of complexity of social systems