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This paper shows that the evolution of financial markets implies some features of the postmodernism, as for example, the emergence of a hyperreality or an over-exaggeration of the exchange. Computerization contributed to the development of what Baudrillard called a hyper-reality in which financial quotations are self-referent, i.e. they do not refer to an economic reality. Finance is now in post-modernity and this essay offers an analysis of this financial post-modernity.

"This book moves beyond the disciplinary frontiers in order to initiate the development of a common theoretical framework that makes sense for both traditionally trained financial economists and econophysicists. Unlike other publications dedicated to econophysics, this book is written by two financial economists and it situates econophysics in the evolution of financial economics. The major issues that concern the collaboration between the two fields are analyzed in detail. More specifically, this book explains the theoretical and methodological foundations of these two fields in an accessible vocabulary providing the first extensive analytic comparison between models and results from both fields. The book also identifies the major conceptual gate-keepers that complicate dialogue between the two communities while it provides elements to overcome them. By mixing conceptual, historical, theoretical and formal arguments our analysis bridges the current deaf dialogue between financial economists and econophysicists. This book details the recent results in econophysics that bring it closer to financial economics. So doing, it identifies what remains to be done for econophysicists to contribute significantly to financial economics. Beyond the clarification of the current situation, this book also proposes a generic model compatible with the two fields, defining minimal conditions for common models. Finally, this book provides a research agenda for a more fruitful collaboration between econophysicists and financial economists, creating new research opportunities. In this perspective, it lays the foundations for common theoretical framework and models."

Financial economics and mathematical finance are the two traditional scientific disciplines that constitute modern financial theory. Although they still largely dominate modern financial theory, in the past few years a new "player" has increasingly been making itself felt and could lead to a rethinking of some of the theoretical foundations of modern financial theory. This new player is econophysics. Econophysics is a very recent movement that is beginning to interest increasing numbers of financial practitioners. To date, no history of econophysics has been produced. This article aims at filling this gap. It analyzes the theoretical foundations of econophysics and their connections with the history of financial economics. It also explores the reasons underlying the emergence of econophysics and explains how econophysics has become the third component of modern financial theory.

Financial economics was born in the 1960s. It took less than two decades for the new discipline's main theoretical results to become established, creating what is considered to be mainstream financial economics. Less than thirty years later, a new field of research called "econophysics" was created. This field aims to reinvent modern financial theory and, indirectly, financial economics.This article proposes to study, by an historical analysis, to what extent econophysics today could constitute one of the major theoretical challenges to financial economics. It shows how these two fields have historical similarities, and analyzes how these similarities call the future evolution of financial theory into question.

AbstractUsing the panel data of 89 economies from 1995–2012, this study examines the major drivers of agricultural emissions while considering affluence, energy intensity, agriculture value added and economic integration. We find long-run cointegration among the variables. Furthermore, our empirical results based on a dynamic fixed effects autoregressive distributed lag model show that the increases in income and economic integration – proxied by trade and foreign direct investment (FDI) – are the major contributors to higher greenhouse gas (GHG) emissions from agriculture in the short run. Additionally, the increases in income, agriculture value added and energy consumption are the major drivers of agricultural emissions in the long run. Notably, trade openness and FDI inflows have significantly negative effects on GHG emissions from agriculture in the long run. These results apply to methane and nitrous oxide emissions. The empirical findings vary across three subsamples of countries at different development stages.