Investigation of the Time Pattern of Bit Green Crypto: An Arma Modeling Approach to Unrave Volatility

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Author(s): Pawan Kumar (Chandigarh University, India), Mukul Bhatnagar (Chandigarh University, India)and Sanjay Taneja (Graphic Era University (Deemed), India)
Copyright: 2024
Pages: 26
Source title: Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization
Source Author(s)/Editor(s): Amandeep Singh (Chitkara Business School, Chitkara University, India), Sanjay Taneja (Graphic Era University (Deemed), India)and Pawan Kumar (Chandigarh University, India)
DOI: 10.4018/979-8-3693-1746-4.ch001

Keywords: Accounting and Finance / Algorithms / Business Science Reference / Computer Science & IT

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Abstract

The temporal conduct of the cryptocurrency BIT GREEN Crypto is examined using an ARMA model. This study analyses BIT GREEN Crypto's volatility using the ARMA model. ARMA model examination of past pricing data determines BIT GREEN Crypto timing trends and variations. This study uses rigorous methods and historical data to reveal BIT GREEN Crypto's temporal patterns and changes to better cryptocurrency analysis. In the study, ARMA modelling correctly predicted BIT GREEN Crypto's volatility. The study helps investors and market participants understand cryptocurrency volatility. The results also show that the ARMA model's restrictions and the aspects of bitcoin volatility must be addressed. This study clarifies BIT GREEN Crypto's volatility and temporal dynamics. This ARMA-modelled study gives investors and market participants cryptocurrency insights and management advice.

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Investigation of the Time Pattern of Bit Green Crypto: An Arma Modeling Approach to Unrave Volatility

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