[HTML][HTML] Cryptocurrency trading: a comprehensive survey
In recent years, the tendency of the number of financial institutions to include
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
[HTML][HTML] Insights into financial technology (FinTech): a bibliometric and visual study
B Li, Z Xu - Financial innovation, 2021 - Springer
This paper conducted a comprehensive analysis based on bibliometrics and science
mapping analysis. First, 848 publications were obtained from Web of Science. Their …
mapping analysis. First, 848 publications were obtained from Web of Science. Their …
[HTML][HTML] Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection
Many bankruptcy prediction models for small and medium-sized enterprises (SMEs) are built
using accounting-based financial ratios. This study proposes a bankruptcy prediction model …
using accounting-based financial ratios. This study proposes a bankruptcy prediction model …
[HTML][HTML] Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods
The evaluation of feature selection methods for text classification with small sample datasets
must consider classification performance, stability, and efficiency. It is, thus, a multiple …
must consider classification performance, stability, and efficiency. It is, thus, a multiple …
[HTML][HTML] Dynamic connectedness between stock markets in the presence of the COVID-19 pandemic: does economic policy uncertainty matter?
This study investigates the dynamic connectedness between stock indices and the effect of
economic policy uncertainty (EPU) in eight countries where COVID-19 was most widespread …
economic policy uncertainty (EPU) in eight countries where COVID-19 was most widespread …
[HTML][HTML] Forecasting and trading cryptocurrencies with machine learning under changing market conditions
H Sebastião, P Godinho - Financial Innovation, 2021 - Springer
This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum,
and litecoin—and the profitability of trading strategies devised upon machine learning …
and litecoin—and the profitability of trading strategies devised upon machine learning …
[HTML][HTML] Soft consensus cost models for group decision making and economic interpretations
In a group decision-making (GDM) process, experts reach a consensus after discussion and
persuasion, which requires a moderator to spend time and resource to persuade experts to …
persuasion, which requires a moderator to spend time and resource to persuade experts to …
An interval valued neutrosophic decision-making structure for sustainable supplier selection
Evolution of supply chain management (SCM) in recent years has transformed it beyond the
simple logic of benefit and economic point of views. One of such key strategic elements in …
simple logic of benefit and economic point of views. One of such key strategic elements in …
A survey on FinTech
As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …
novel technologies adopted by the financial service institutions. This term covers a large …
Machine learning methods for systemic risk analysis in financial sectors.
Financial systemic risk is an important issue in economics and financial systems. Trying to
detect and respond to systemic risk with growing amounts of data produced in financial …
detect and respond to systemic risk with growing amounts of data produced in financial …