Showcasing original arguments for well-defined positions, as well as clear and concise statements of sophisticated philosophical views, this volume is an ...

My philosophical intuitions are those of a scientific realist. In addition to being realist in its philosophical outlook, my philosophy of economics also aspires to be realistic in the sense of being descriptively adequate, or at least normatively non-utopian, about economics as a scientific discipline. The special challenge my philosophy of economics must meet is to provide a scientific realist account that is realistic of a discipline that deals with a complex subject matter and operates with highly unrealistic models. Unrealisticness (...) in economic models must not constitute an obstacle to realism about those models. What follows is a selective and somewhat abstract summary of my thinking about economics, outlined from two perspectives: first historical and autobiographical, then systematic and comparative. The first angle helps understand motives and trajectories of ideas against their backgrounds in intellectual history. My story turns out to have both unique and generalizable aspects. The second approach outlines some of the key concepts and arguments as well as their interrelations in my philosophy of economics, with occasional comparisons to other views. More space will be devoted to this second perspective than to the first. (shrink)

Uncertainty is a feeling of anxiety and a part of culture since the dawn of civilization. Civilizations have invented numerous ways to cope with uncertainty, statistics is one of those technologies. The rhetoric as the discourse of investment theory uncovers that the theory of statistics applied is a blind spot in the current conversation about investment theory and practice. Probability and prediction in investment theory look like a tying sale, since investment theory is founded on stochastical predictability. The proof of (...) unpredictability, however, lies outside the paradigm of statistics, because statistics assumes that the substrate, that produces probability outcomes, is stable. The theory of objective probabilities founds the Capital Asset Pricing Model but does not stochastically predict, and neither do Markowitz’s subjective probabilities for his portfolio theory. Statistical models for investing have a function, despite that they cannot predict: in essence, the models try to quantify statistically the equity, the fairness of the distribution of risk and return between parties involved. In the dissertation, a lot of ideas to change finance have had attention: the alternative statistical theory of Mandelbrot, bubble theory, political finance, the analysis of rhetoric, the analysis of culture, innovative practices, ethics in the form of virtue and value ethics, and the history of finance. How to make the culture of finance more heterogeneous? That starts with awareness of the current problems, the introduction of multiform metaphors for investment theory, and handling the ambiguity of theory uncertainty, by presenting, explaining and elaborating the alternatives. (shrink)