AVE Trends in Intelligent Management Letters
2025 Vol.1 No.1

ISSN: 3069-1117


Editor: Salvatore Moccia

Pages Title and author(s)
1-11 Transformational Leadership in Preserving Local Culture: Strategies for Facing the Digital Era Beatus Tambaip, Yosephina Ohoiwutun, Alexander Phuk Tjilen, Heri Yusuf Muslihin Keywords: Transformational Leadership; Cultural Preservation; Digital Era; Innovative Strategy; Cultural Digitalisation; Globalisation and Digitalisation; Local Culture; Digital Technology; Local Community. DOI: 10.64091/ATIML.2025.000096
12-27 Granger's Causality Analysis of the Interaction Between Global Macroeconomic Variables and Commodity Price Movements in Nigeria Deebom Zorle Dum Keywords: Interaction Global; Macroeconomic Variables; Commodity and Movements; Commodity Prices; Economic Indicators; Commodity Markets; Global Economy; Price Volatility; Market Conditions. DOI: 10.64091/ATIML.2025.000097
28-37 The Impact of Exogenous Variables on Stock Market Volatility: A GARCH-X Model Approach Promise Saro Daewii, Nwikpe Barinaada John, Davis Iyai, Deebom Zorle Dum, Ogunyinka Ebunoluwa Adedayo Keywords: Exogenous Variables; GARCH-X Model; Exchange Rate; GARCH and Volatility; Nigeria's Economy; Stock Market; Economic Stability; Macroeconomic Variables; Stock Volatility. DOI: 10.64091/ATIML.2025.000098
38-48 From P2P to GDP: Enhancing Economic Growth through Peer-to-Peer Lending Sagar Onkarrao Manjare, Sarika Dixit, Atikur Hussain Keywords: Peer-to-Peer Lending; Economic Growth; Financial Inclusion; Northeast India; SME Financing; Digital Divide; Regulatory Challenges; Blockchain Integration; Development Economics. DOI: 10.64091/ATIML.2025.000099
49-58 Leveraging LLAMA for Financial Chatbots: Domain-Specific Fine-Tuning and Performance Evaluation L. Saikrishna, S. Sreman Narayana, P. Cheenu Sriyan Keywords: Financial Chatbots; Large Language Models (LLMs); Domain-Specific Fine-Tuning; Natural Language Processing (NLP); Transfer Learning; Financial Question Answering; Performance Evaluation; Prompt Engineering; Model Adaptation. DOI: 10.64091/ATIML.2025.000100