Rationalisme et scepticisme, attitude critique et profondeur de la vision psychologique, tout cela dans un monde de pensée pénétré d’idées chrétiennes, voilà les points de contact entre Vivès et Descartes. Vivès, participant à l’esprit de la Renaissance, sent le besoin d’une rénovation de la méthode des sciences. Sa théorie de la connaissance : connaissance sensible et connaissance spirituelle ; la mens et la ratio ; les divers degrés de la raison. L’unité de la science.

Since the breakdown of the Bretton Woods system in the early 1970s, the foreign exchange market has become an important focus of both academic and practical research. There are many reasons why FX is important, but one of most important aspects is the determination of foreign investment values. Therefore, FX serves as the backbone of international investments and global trading. Additionally, because fluctuations in FX affect the value of imported and exported goods and services, such fluctuations have an important impact (...) on the economic competitiveness of multinational corporations and countries. Therefore, the volatility of FX rates is a major concern for scholars and practitioners. Forecasting FX volatility is a crucial financial problem that is attracting significant attention based on its diverse implications. Recently, various deep learning models based on artificial neural networks have been widely employed in finance and economics, particularly for forecasting volatility. The main goal of this study was to predict FX volatility effectively using ANN models. To this end, we propose a hybrid model that combines the long short-term memory and autoencoder models. These deep learning models are known to perform well in time-series prediction for forecasting FX volatility. Therefore, we expect that our approach will be suitable for FX volatility prediction because it combines the merits of these two models. Methodologically, we employ the Foreign Exchange Volatility Index as a measure of FX volatility. In particular, the three major FXVIX indices from 2010 to 2019 are considered, and we predict future prices using the proposed hybrid model. Our hybrid model utilizes an LSTM model as an encoder and decoder inside an autoencoder network. Additionally, we investigate FXVIX indices through subperiod analysis to examine how the proposed model’s forecasting performance is influenced by data distributions and outliers. Based on the empirical results, we can conclude that the proposed hybrid method, which we call the autoencoder-LSTM model, outperforms the traditional LSTM method. Additionally, the ability to learn the magnitude of data spread and singularities determines the accuracy of predictions made using deep learning models. In summary, this study established that FX volatility can be accurately predicted using a combination of deep learning models. Our findings have important implications for practitioners. Because forecasting volatility is an essential task for financial decision-making, this study will enable traders and policymakers to hedge or invest efficiently and make policy decisions based on volatility forecasting. (shrink)

This essay examines several contemporary works in cultural studies that critique universalizing tendencies in western intellectual discourse. Michael Wiedorn rereads Glissant as a philosophical and political thinker, focusing on the concept of paradox in Glissant’s method of archipelagic thinking, aimed at transforming the imaginaire of collective consciousness. Fred Moten examines a variety of works of interactive, auditory, visual, and textual formats that are representative of black aesthetics to track the affectability of the trauma of antiblackness and the entanglements between blackness (...) and anti-blackness that blur or resist a stabilized definition of black subjectivity and expression. Sharon Suh recovers the Buddhist practice of gazing to critically examine images of Buddhist ideas and practitioners in western and Asian films to challenge a racialized and gendered hierarchy of Buddhism in mainstream culture. Such a project seeks to recover the laywoman’s Buddhist subjectivities and reimagine Buddhism in ways that overcomes the problematic depictions enabled by orientalist studies. (shrink)