Interplay of Cryptocurrencies with Financial and Social Media Indicators: An Entropy-Weighted Neural-MADM Approach

Journal Title: Journal of Operational and Strategic Analytics - Year 2023, Vol 1, Issue 4

Abstract

In the rapidly evolving domain of digital finance, the interplay between cryptocurrencies and external variables such as financial and social media indicators warrants thorough examination. This investigation employs a novel, entropy-weighted Multiple Attribute Decision Making (MADM) model to decipher these intricate relationships. The study's foundation is an expansive dataset, meticulously compiled to encompass a broad spectrum of financial data alongside diverse social media indicators. Central to this analysis is the employment of the Stepwise Weight Assessment Ratio Analysis (SWARA) method, meticulously applied to ascertain the relative importance of various social media indicators. Complementing this, the Complex Proportional Assessment (COPRAS) methodology is adeptly utilized to derive utility functions for each cryptocurrency under scrutiny. The analytical prowess of neural network regressions is harnessed to delineate the influence exerted by a multitude of financial indicators on these utility functions. The findings of this research are pivotal in understanding the dynamics within the cryptocurrency market. Bitcoin and Ripple emerge as pivotal entities, primarily functioning as primary conduits for market shocks. In contrast, Ethereum is identified as a stabilizing force, predominantly absorbing such fluctuations. A nuanced aspect of this study is the differential impact of social media indicators on various cryptocurrencies. Bitcoin and Ethereum display a negative correlation with these indicators, suggesting a complex, possibly inverse relationship with social media dynamics. Conversely, Litecoin, Dogecoin, and Ripple exhibit a positive responsiveness, indicating a heightened susceptibility to social media attention, sentiment, and prevailing uncertainty.

Authors and Affiliations

Jéfferson Augusto Colombo, Tanzina Akhter, Peter Wanke, Md. Abul Kalam Azad, Yong Tan, Seyyed A. Edalatpanah, Jorge Antunes

Keywords

Related Articles

A Three-Phase Algorithm for Selecting Optimal Investment Options Based on Financial Ratios of Stock Companies

The identification of optimal stock or portfolio options is a critical concern for investors aiming to maximize profitability within financial markets. With the increasing complexity of available alternatives and the gro...

Comprehensive Strategic Planning for Construction Companies Using Fuzzy MADM Techniques

In today’s volatile and competitive global markets, organizations face numerous challenges to their survival and growth. To navigate these challenges effectively, the adoption of future-oriented, environment-based planni...

Addressing the Crucial Factors Affecting the Implementation of Carbon Credit Concept Using a Comprehensive Decision-Making Analysis: A Case Study

As global focus on climate change intensifies, carbon credits have become an important tool for reducing greenhouse gas emissions. Africa, with its abundant natural resources and potential for sustainable development, is...

Application of Extended Fuzzy ISOCOV Methodology in Nanomaterial Selection Based on Performance Measures

The prevalence of decision-making methodologies catering to quantitative attributes considerably overshadows those designed for qualitative attributes. This study seeks to address this gap by extending the traditional Id...

Advancing Cybersecurity Strategies for Multinational Corporations: Novel Distance Measures in q-Rung Orthopair Multi-Fuzzy Systems

In the realm of cybersecurity, the formulation of comprehensive strategies is imperative for multinational corporations to protect against pervasive cyber threats. Recent developments in the field of intuitionistic multi...

Download PDF file
  • EP ID EP731980
  • DOI https://doi.org/10.56578/josa010402
  • Views 68
  • Downloads 0

How To Cite

Jéfferson Augusto Colombo, Tanzina Akhter, Peter Wanke, Md. Abul Kalam Azad, Yong Tan, Seyyed A. Edalatpanah, Jorge Antunes (2023). Interplay of Cryptocurrencies with Financial and Social Media Indicators: An Entropy-Weighted Neural-MADM Approach. Journal of Operational and Strategic Analytics, 1(4), -. https://www.europub.co.uk/articles/-A-731980