SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Advanced AI and big data techniques in E-finance: a comprehensive survey
16 references·1 citing·58 second hopsampled
Advanced AI and big data techniques in E-finance: a comprehensive survey (2025)Advanced AI and big data techniques in E-…Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research (2022)Past, present, and future of …Digital transformation and the emergence of the Fintech sector: Systematic literature review (2022)Digital transformation and th…Digital finance and green growth in China: Appraising inclusive digital finance using web crawler technology and big data (2022)Digital finance and green gro…Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Artificial intelligence and m…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting (2020)Fractional Neuro-Sequential A…Deep learning and time series-to-image encoding for financial forecasting (2020)Deep learning and time series…Current landscape and influence of big data on finance (2020)Current landscape and influen…The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems (2019)The evolution of the financia…MACHINE LEARNING METHODS FOR SYSTEMIC RISK ANALYSIS IN FINANCIAL SECTORS (2019)MACHINE LEARNING METHODS FOR …Machine learning in energy economics and finance: A review (2019)Machine learning in energy ec…Literature review: Machine learning techniques applied to financial market prediction (2019)Literature review: Machine le…Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach (2019)Forecasting SMEs' credit risk…Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting (2019)Class-imbalanced dynamic fina…A Prediction Approach for Stock Market Volatility Based on Time Series Data (2019)A Prediction Approach for Sto…An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges (2018)An overview of MULTIMOORA for…Artificial Intelligence Applications and Financial Forecasting Accuracy in Banking Platforms: Evidence from Jordan (2026)Artificial Intelligence Appli…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Theory building with big data-driven research – Moving away from the “What” towards the “Why” (2020)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)Credit Rationing in Markets with Imperfect Information (1981)Neural network credit scoring models (2000)Perspectives in supply chain risk management (2006)Predicting customer demand for remanufactured products: A data-mining approach (2019)Artificial intelligence in operations management and supply chain management: an exploratory case study (2021)Future of artificial intelligence and its influence on supply chain risk management – A systematic review (2022)Comparing Predictive Accuracy (1994)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Time series forecasting using a hybrid ARIMA and neural network model (2003)A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions (2020)Does Good ESG Lead to Better Financial Performances by Firms? Machine Learning and Logistic Regression Models of Public Enterprises in Europe (2020)A systematic review of machine learning in logistics and supply chain management: current trends and future directions (2021)The General Theory of Employment, Interest and Money. (1936)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence (2020)Machine Learning for Financial Risk Management: A Survey (2020)Dynamic connectedness between stock markets in the presence of the COVID-19 pandemic: does economic policy uncertainty matter? (2021)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)Adaptive stock trading strategies with deep reinforcement learning methods (2020)Combining corporate governance indicators with stacking ensembles for financial distress prediction (2020)Grounded theory research: Procedures, canons, and evaluative criteria (1990)Predators and prey: a new ecology of competition. (1993)Towards a Theory of Ecosystems (2018)What have we learnt from 10 years of fintech research? a scientometric analysis (2020)Leveraging blockchain technology for green innovation in ecosystem-based business models: A dynamic capability of values appropriation (2022)The evolution of the digital service ecosystem and digital business model innovation in retail: The emergence of meta-ecosystems and the value of physical interactions (2022)Long memory and persistence in aggregate output (1989)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A survey on machine learning models for financial time series forecasting (2022)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector (2023)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)The Pricing of Options and Corporate Liabilities (1973)On Persistence in Mutual Fund Performance (1997)Past, present, and future of customer engagement (2021)Artificial intelligence and machine learning in finance: A bibliometric review (2022)Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview (2022)Bibliometric Methods in Management and Organization (2014)ESG and financial performance: aggregated evidence from more than 2000 empirical studies (2015)How to conduct a bibliometric analysis: An overview and guidelines (2021)Greenwashing, Sustainability Reporting, and Artificial Intelligence: A Systematic Literature Review (2023)A PRISMA systematic review of greenwashing in the banking industry: A call for action (2024)Environmental, social, and governance (ESG) and artificial intelligence in finance: State-of-the-art and research takeaways (2024)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2021Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis723 cited
  • 2019Literature review: Machine learning techniques applied to financial market prediction560 cited
  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2022Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research439 cited
  • 2019Machine learning in energy economics and finance: A review438 cited
  • 2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
  • 2020Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting371 cited
  • 2019Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting363 cited
  • 2019The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems363 cited
  • 2019MACHINE LEARNING METHODS FOR SYSTEMIC RISK ANALYSIS IN FINANCIAL SECTORS321 cited
  • 2022Digital finance and green growth in China: Appraising inclusive digital finance using web crawler technology and big data302 cited
  • 2018An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges285 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2019
A Prediction Approach for Stock Market Volatility Based on Time Series Data
275 cited
  • 2020Deep learning and time series-to-image encoding for financial forecasting267 cited
  • 2020Current landscape and influence of big data on finance252 cited
  • 2022Digital transformation and the emergence of the Fintech sector: Systematic literature review232 cited
  • Cited by

    • 2026Artificial Intelligence Applications and Financial Forecasting Accuracy in Banking Platforms: Evidence from Jordan16 cited