Titlebook: Machine Learning Approaches in Financial Analytics; Leandros A. Maglaras,Sonali Das,Srikanta Patnaik Book 2024 The Editor(s) (if applicabl

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Multiobjective Optimization of Mean–Variance-Downside-Risk Portfolio Selection Models ratio. The efficient portfolios generated by SPEA2 for the Mean–Variance-VaR comes next and it also beat the S&P 500 index for all performance measures. The efficient portfolios generated by SPEA2 for the Mean–Variance-Skewness portfolio optimization model does not provide satisfactory results and

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Bankruptcy Forecasting of Indian Manufacturing Companies Post the Insolvency and Bankruptcy Code 201entified from prior studies, and a comparative analysis was conducted with those variables. From 1 April 2017 to 31 March 2020, the Insolvency and Bankruptcy Board of India (IBBI) database is used to collect information on bankrupt companies. Data for the previous three years is gathered from the an

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Ensemble Deep Reinforcement Learning for Financial Tradingtic (A2C), PPO, and DDPG. The ensemble techniques adapt to various market conditions by utilizing the best aspects of all three algorithms. The effectiveness of these ensembles is demonstrated on 30 Sensex stocks with sufficient liquidity and 30 Dow Jones Industrial Average (DJIA) indexed stocks. Th

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Bibliometric Analysis of Digital Financial Reportingthe volume of articles published and citation analysis using the bibliometric tool. The overall outcome of this study shows that the majority of earlier studies focused on how digitalization has benefitted financial reporting.Please confirm if the inserted city name is correct. Amend if necessary.No

DOSE

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A Comprehensive Review of Bitcoin’s Energy Consumption and Its Environmental Implicationsel used to determine the energy consumption meant for mining bitcoins. The findings suggest that the power needed by bitcoin mining has detrimental ecological and social effects, such as causing global warming and climate change. Further, this study also forecasts the future of bitcoin mining and it

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Constructing a Broad View of Tax Compliance Intentions Based on Big Data comply, it is necessary to search for any variables that influence this. By using big data, the variables obtained are more in line with the current reality, because they are taken directly from the virtual world, which is more specifically sourced from online media. After the data is mined from so

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Influence of Firm-Specific Variables on Capital Structure Decisions: An Evidence from the Fintech InFS), profitability (Prft), tangibility ratio (Tr) and volatility (Vol) have a significant impact on Total debt ratio (TDr) and Short term debt ratio (SDr), However only profitability (Prft) has a significant impact on Long term debt ratio (LDr). The study partially approves to be in agreement to the

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