ﻻ يوجد ملخص باللغة العربية
The object of this contribution is to present the ideas behind the thinking of the French economist Pierre-Joseph Proudhon (1809-1865) in relation to the causes and effects of Stock market speculation. It is based upon the works of this author but particularly on his Manuel du speculateur `a la Bourse (Stock Market Speculator Manual) edited in 1857 in Paris. Compared to the markets of today, however, the stock market described by Proudhon appears embryonic. Nevertheless it represents the location for transactions in financial assets, commodities, precious metals and even some transactions involving options. This contribution is organised in the following manner - the first section is devoted to the development of Proudhons thought in relation to speculation. It is divided into two parts. The first part is dedicated to Pierre-Joseph Proudhons definitions of stock market speculation or gambling with shares that for him served no purpose either from a human or economic perspective and was therefore condemnable and to be contrasted with entrepreneurial speculation that, even though it is a highly-risky activity, involves the spirit of enterprise and provides the lifeblood of economic growth. The second part allows us to present Pierre-Joseph Proudhons propositions in relation to restricting the speculation that he considers obnoxious. The second section has two objectives: one part places in perspective the views of Proudhon and the characteristics of stock market activity under the Second Empire whilst the other part examines current-day aspects of the characteristics evoked by Proudhon. We are interested especially in the question of the regulation and that of the relevance today of certain accounting practices.
We study in this paper the time evolution of stock markets using a statistical physics approach. Each agent is represented by a spin having a number of discrete states $q$ or continuous states, describing the tendency of the agent for buying or selli
The aim of this study is to investigate quantitatively whether share prices deviated from company fundamentals in the stock market crash of 2008. For this purpose, we use a large database containing the balance sheets and share prices of 7,796 worldw
This study investigates the impact of the COVID-19 pandemic on the stock market crash risk in China. For this purpose, we first estimated the conditional skewness of the return distribution from a GARCH with skewness (GARCH-S) model as the proxy for
This paper investigates the impact of economic policy uncertainty (EPU) on the crash risk of US stock market during the COVID-19 pandemic. To this end, we use the GARCH-S (GARCH with skewness) model to estimate daily skewness as a proxy for the stock
This study empirically re-examines fat tails in stock return distributions by applying statistical methods to an extensive dataset taken from the Korean stock market. The tails of the return distributions are shown to be much fatter in recent periods