Special Issue Global Finance Conference
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Special Conference Issue on International Finance
Author | : Conference on International Finance |
Publisher | : |
Total Pages | : 267 |
Release | : 2006 |
Genre | : |
ISBN | : |
Global Issues in Banking and Finance
Author | : Nesrin Ozatac |
Publisher | : Springer Nature |
Total Pages | : 188 |
Release | : 2019-10-17 |
Genre | : Business & Economics |
ISBN | : 303030387X |
This volume presents current developments in the fields of banking and finance from an international perspective. Featuring contributions from the 4th International Conference on Banking and Finance Perspectives (ICBFP), this volume serves as a valuable forum for discussing current issues and trends in the banking and financial sectors, especially in light of the global economic challenges triggered by financial institutions. Using the latest theoretical models, new perspectives are brought to topics such as international banking and finance, Islamic banking, fintech, and corporate finance. Offering an opportunity to explore the challenges of a rapidly changing industry, this volume will be of interest to academics, policy makers, and scholars in the fields of banking, insurance, and finance.
Finance and Growth
Author | : Asli Demirgüç-Kunt |
Publisher | : |
Total Pages | : 1616 |
Release | : 2018-07-27 |
Genre | : Economic development |
ISBN | : 9781785367427 |
This two-volume collection brings together major contributions to the study of finance and growth. It includes conceptual and empirical papers that use a range of methodologies to discover the connections between financial systems - including financial contracts, markets, and intermediaries - and the functioning of the economy - including economic growth, entrepreneurship, technological innovation, poverty alleviation, the distribution of income, and the structure and volatility of economies. It also discusses contributions to the study of the legal, political, institutional, social capital and policy determinants of financial development. With an original introduction by the editors, this collection is an important resource for students, academics and practitioners.
Financial Issues in Emerging Economies
Author | : Rita Biswas |
Publisher | : Emerald Group Publishing |
Total Pages | : 370 |
Release | : 2020-11-10 |
Genre | : Business & Economics |
ISBN | : 1838679596 |
This special issue focuses on a gamut of topics ranging from monetary policy to corporate governance in emerging economies. Of the eleven papers it includes, five were selected from the II International Conference on Economics and Finance (ICEF-II) in Bengaluru, India.
Machine Learning and AI in Finance
Author | : German Creamer |
Publisher | : Routledge |
Total Pages | : 131 |
Release | : 2021-04-05 |
Genre | : Business & Economics |
ISBN | : 1000372006 |
The significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events. During the last decade, the world has witnessed a rapid expansion of applications of artificial intelligence (AI) and machine learning (ML) algorithms to an increasingly broad range of financial markets and problems. Machine learning and AI algorithms facilitate this process understanding, modelling and forecasting the behaviour of the most relevant financial variables. The main contribution of this book is the presentation of new theoretical and applied AI perspectives to find solutions to unsolved finance questions. This volume proposes an optimal model for the volatility smile, for modelling high-frequency liquidity demand and supply and for the simulation of market microstructure features. Other new AI developments explored in this book includes building a universal model for a large number of stocks, developing predictive models based on the average price of the crowd, forecasting the stock price using the attention mechanism in a neural network, clustering multivariate time series into different market states, proposing a multivariate distance nonlinear causality test and filtering out false investment strategies with an unsupervised learning algorithm. Machine Learning and AI in Finance explores the most recent advances in the application of innovative machine learning and artificial intelligence models to predict financial time series, to simulate the structure of the financial markets, to explore nonlinear causality models, to test investment strategies and to price financial options. The chapters in this book were originally published as a special issue of the Quantitative Finance journal.