Entropy-Based Behavioural Efficiency of the Financial Market
The most known and used abstract model of the financial market is based on the concept of the informational efficiency (EMH) of that market. The paper proposes an alternative which could be named the behavioural efficiency of the financial market, which is based on the behavioural entropy instead of the informational entropy. More specifically, the paper supports the idea that, in the financial market, the only measure (if any) of the entropy is the available behaviours indicated by the implicit information. Therefore, the behavioural entropy is linked to the concept of behavioural efficiency. The paper argues that, in fact, in the financial markets, there is not a (real) informational effi…
The Impact of Mergers and Acquisitions and Sustainability on Company Performance in the Pharmaceutical Sector
The primary goal of this study was to determine the impact of mergers and acquisitions (M&
Corporate Sustainability and Intangible Resources Binomial: New Proposal on Intangible Resources Recognition and Evaluation
This study argues that the context in which an organization adopts the principles of corporate sustainability and is guided by a culture of sustainability will determine the development of the components of corporate intangible resources. However, in trying to evaluate the impact of adopting the principles of corporate sustainability on the development of the intangible resources held by a company, we encountered a major problem, namely that there is no consistent and internationally accepted methodology for assessing such resources, despite theorists&rsquo
Geometric Brownian Motion (GBM) of Stock Indexes and Financial Market Uncertainty in the Context of Non-Crisis and Financial Crisis Scenarios
The present article proposes a methodology for modeling the evolution of stock market indexes for 2020 using geometric Brownian motion (GBM), but in which drift and diffusion are determined considering two states of economic conjunctures (states of the economy), i.e., non-crisis and financial crisis. Based on this approach, we have found that the GBM proved to be a suitable model for making forecasts of stock market index values, as it describes quite well their future evolution. However, the model proposed by us, modified geometric Brownian motion (mGBM), brings some contributions that better describe the future evolution of stock indexes. Evidence in this regard was provided by analyzing …
Defining the Concepts of Organization, Economic Organization and Stabilizer from the Perspective of Complex Systems
Abstract This paper is a theoretical investigation that sets forth a scientific debate on the concepts of organization, economic organization, and stabilizer from the perspective of complex systems. By defining these concepts, the paper aims at increasing the intelligibility of social and economic phenomena. In formulating the definitions, we considered the following criteria: the adequacy criterion, the consistency criterion and the independence criterion. The paper is part of a larger study on the economic organization and the paradigm of the living logical system.
Evaluation of Options using the Black-Scholes Methodology
This paper discusses how to obtain the Black-Scholes equation to evaluate options and how to obtain explicit solutions for Call and Put. The Black-Scholes equation, which is the basis for determining explicit solutions for Call and Put, is a rather sophisticated equation. It is a partial differential equation of the second order, parabolic, similar to the heat equation. The terms of the equation express diffusion in a homogeneous environment, convection and reaction. The main objective of the paper is to present the Black-Scholes methodology and apply this methodology on the underlying asset of the nature of the listed stock on the Bucharest Stock Exchange. Also, a secondary objective is to…
Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion
In this article, we propose a test of the dynamics of stock market indexes typical of the US and EU capital markets in order to determine which of the two fundamental hypotheses, efficient market hypothesis (EMH) or fractal market hypothesis (FMH), best describes market behavior. The article’s major goal is to show how to appropriately model return distributions for financial market indexes, specifically which geometric Brownian motion (GBM) and geometric fractional Brownian motion (GFBM) dynamic equations best define the evolution of the S&P 500 and Stoxx Europe 600 stock indexes. Daily stock index data were acquired from the Thomson Reuters Eikon database during a ten-year period, fro…